1 AN ABSTRACT OF THE THESIS OF Hassan Alizadeh Ra.bii for the degree of Doctor of Philosophy in Geography presented on August 10, 1979. Title: An Investigation of the Utility of Landsat 2 MSS Data to the Fire-Danger Rating Area, and Forest Fuel Analysis Within Crater Lake National Park, Abstract approved: (Redacted for privacy Dr. James F. Laney Inventorying and mapping of the amounts of downed forest fuel tonnage/acre within Crater Lake National Park, Landsat multispectral data was utilized in conjunction with National Cartographic Information Center (NCIC) digital topographic information. It is believed that this combination is the first effort of its type. Classification of combined Landsat spectral/NCIC topographic data sets was accomplished through utilization of a Nova 340 computer system at Berkeley Space Sciences Laboratory, Berkeley, California. Interactive classification capability of this computer and its video color display provided identification and mapping criteria for classification of various surface and cover types within the National Park. Landsat spectral/NCIC topographic data set analysis technique employed in this research included an unsupervised classification program that separates sets of multidimensional data points into clusters of similar groups. Each cluster is represented numerically 11 by a "center" or means of all features, and a "width" or a set of standard deviations. To develop the cluster set, the program employs an iterative process, and refines clusters in each iteration. As the process continues, clusters with previously defined "too small" standard deviations are combined into a single cluster, while clusters with larger standard deviations are divided into new clusters. This refinement stops when a measure of "goodness" (set by the user), has been achieved. Use of this cluster classification technique resulted in fifty-four detailed surface type classes for the study area. Through stereoscopic interpretation of NASA high altitude U-2 color infrared (IR) photographs, and use of detailed field observation information, these fifty-four original clusters were evaluated and reevaluated and combined into twenty-three "simplified vegetation" classes. Finally, correlating surface cover type characteristics of fifty-seven downed fuel study areas (DFSAs) to these fifty-four orig- inal clusters and twenty-three classes, a "downed fuel" map with thirteen fuel type classes was created. Forest type, forest density and maturity (crown size) proved to be the major "satellite visible" controls over the amounts of downed fuel. Within coniferous forest types of Crater Lake National Park, mature and dense Mountain Hemlock forest yielded the maximum amounts of downed fuel. The least amounts of downed fuel within the Park was inventoried under young, and very poorly stocked 111 Lodgepole Pine forest. Throughout this study use of the quantitative MSS/topographic data set, together with qualitative data from color IR photographs, and "ground truth" information provided an excellent tools for the objectives of this research. NASA U-2 color IR photographs have larger scales and better resolutions than Landsat MSS data while, Landsat' s primary advantages over NASA U-2 color IR photographs include its repetitive coverage capability of detecting spectral reflectance subtleties from surface and cover types, and most important its computer compatible quantitative data. "Ground truth" information was utilized to correlate the MSS/ topographic data set to color IR aerial photographic data. Ground truthing proved to be an important factor in classification of remotely sensed data, especially in classification of surface and cover types within as complex a physiographic region as Crater Lake National Park, where complexity of rough terrain has created numerous slopes and slope aspects. As a result, spectral intensity data are significantly altered and slope, slope aspect data aid greatly in analysis. To improve such limitations in Landsat MSS data for identification and mapping of surface and cover types within the Park, fifty-seven extensive "ground truth" activities were conducted within Crater Lake National Park. A limiting factor in this thesis research proved to be the failure iv of the Landsat 3, Band 8 terrestrial thermal radiation band, a failure which vitiated the effort to integrate terrestrial fuel moisture measurements to satellite digital data analysis. 0 1979 HASSAN AL I ZADEH RAB I ALL RIGHTS RESERVED I vi An Investigation of the Utility of Landsat 2 MSS Data to the Fire-Danger Rating Area, and Forest Fuel Analysis Within Crater Lake National Park, Oregon by Hassan Alizadeh Rabii A THESIS submitted to Oregon State University in partial fulfillment of the requirements for the degree of Doctor of Philosophy Commencement June 1980 vii APPROVED: Redacted for privacy Prof isor of Geography In Charge of Major Redacted for privacy Chairpe'r son of Geog a phy X./ Redacted for privacy Dean of raduate School i Date thesis is presented August 10, 1979 Typed by Mary A. Stone for Hassan Alizadeh Rabii vii]. Acknowledgments I wish to express my gratitude to all members of my Committee. Dr. William Quinn of Oceanography, Dr. Robert Wilson of Mechanical Engineering, Dr. Charles L. Rosenfeld, Dr. Granville Jensen, and Dr. James F. Lahey of Dept. of Geography. Without their guidance and enthusiasm, throughout my pursuing of this project,- this thesis would never have been accomplished. The scope of this research includes accomplishments at Oregon State University Computer Center, Berkeley Space Sciences Laboratory, Environmental Remote Sensing Application Laboratory (ERSAL) on the O.S. U. Campus, and Cartographic Service of Dept. of Geography. Special appreciation is extended to Dr. Barry Schrumpf, Director of ERSAL and Mr. R.J. Murray of ERSAL and Computer Center for their assistance in carrying out statistical aspects of this research. I owe particular gratitude to Dr. James F. Lahey, Chairman of my Committee, for his thoughtfulness and involvement, guidance, and for his patient and thorough editing, and kindness throughout this project. Dr. Lahey' s involvement extended beyond official duties of chairmanship. He has provided partial personal funding for various aspects of this project. These include: providing me with Landsat MSS data tapes, NCIC digital terrain tapes, NASA U-2 Color infrared photographs, and expenses involved in photographic reproduction of Color-Coded digitized classification results (Figures ix 37, 38, and 39). I also wish to thank Dr. Edward Starkey, Pacific Northwest Regional Research Coordinator for partial fulfillment of the cost of data processing at Berkeley, and at Oregon State University Computer Center. Also my sincerest appreciation is extended to Mr. Frank Betts, Park Superintendent and Crater Lake National Park Ranger staff, Dan Challey, Dave Lang and others for their kind assistance in my collection of field data in the Park. Mr. Robert E. Burgan, and Mr. Jack D. Cohen provided us with fuel models relevant to dominant forest species within Crater Lake National Park. Their kindness and assistance in this respect is greatly appreciated. The personnel of Berkeley Space Sciences Laboratory were very helpful in their assistance during our data processing activities at Berkeley. In this regard, I owe particular thanks, and apprecia- tion to Mr. Gregory Smith not only for his great help during our visit to their laboratory, but also for his friendship, and sincerity in attempts made in solving computational problems. Others at that Laboratory who contributed to this effort were: Mr. Steve De Gloria, director of the lab, Mr. Chuck Henderson, Mr. Agnis Kaugars, Mr. Paul Ritter, and Mr. Derek Taylor. Their friendly and sincere assistances were invaluable. I wish to thank Dr. Stephen J. Walsh of Oklahoma State University for providing me with permission to use some of his x Landsat cartographic products prepared for him during his study at Oregon State University. Finally I wish to express my gratitude to Miss Touti Sadri for her friendship and voluntary involvement in partial typing of rough drafts of this thesis. I wish her a joyous life and academic success. xi TABLE OF CONTENTS 1. Introduction Introduction Problem Statement Study Area Why Crater Lake National Park was Selected as 1 1 3 6 a Site for a Forest Fire Fuel Study Area 2. 6 Physical Characteristics of the Park Which Might Influence Forest Fires Within Crater. Lake National Park Physical Setting Climatic Elements 11 11 20 20 Data Acquisition Climatic Analysis Temperature 21 21 Precipitation 24 Snowfall Solar radiation Chapter Summary 3. 4. Landsat Reconnaissance Satellites and MSS Digital Computer Compatible Tapes Introductory Statement NASA Landsat Satellites. Landsat Systems Multispectral Scanner System (MSS) Landsat Ground Scene Change in Pixel Integration Caused by Scanning Mirror Velocity Landsat MSS Computer Compatible Tapes Radiometric Calibration. Computer Compatible Tape Format Chapter Summary Landsat Classification Limitations and Pixel Problems Electromagnetic Radiation Spectral Reflectance Atmospheric Attenuation of Solar Radiation Atmospheric Scattering and Absorption Atmospheric Correction Pixel Problems Chapter Summary . 28 31 34 35 35 36 36 44 46 49 55 55 56 60 61 61 61 64 66 68 71 80 xii 5. 6. 7. Digital Data Acquisition and Field Observation Strategy Landsat MSS Data Acquisition Digital Terrain Data Digital Terrain Data Acquisition Color Infrared Aerial Photography Acquisition of Color Infrared Photography Field Data Acquisition Techniques Downed Fuels Available for Wildfires and Environmental Moistures Associated with these downed fuels Selection of Field Observation Areas for Downed and Dead Fuel Moisture Measurement, and Downed Fuel Inventorying Within Crater Lake National Park Sample Site Selection Strategy Dead and Downed Fuel Moisture Content Measurement Fuel Moisture Data Analysis Downed Fuel Inventorying within Crater Lake National Park Downed Fuel Data Calculation Chapter Summary Computer Assisted Analysis of Field Data and Landsat MSS/Topographic Data Sets Preliminary Analysis of Data at Oregon State University Parameter 15: Variations of Solar Insolation Intensity on Varying Slopes and Aspects of the Park Dissimilarity Clustering Final Analysis of Data at Berkeley Space Sciences Laboratory, Berkeley, California Hardware Specification. Landsat MSS/Topographic Data Set Analysis Procedure of Landsat Spectral/ Topographic Data Set Analysis Results Chapter Summary Summary and Conclusions Summary Data Acquisition Techniques "Ground Truth" Activities Data Analysis Techniques 81 81 83 83 85 87 89 89 90 90 95 98 112 117 182 184 184 197 207 235 235 236 237 239 265 266 266 266 268 271 Preliminary Analysis at Oregon State University Final Analysis at Berkeley Space Sciences Laboratory Conclusions, Postscript Bibliography Appendix I Appendix II Appendix III Appendix IV 271 272 274 278 279 284 288 329 370 xiv LIST OF FIGURES Figure Page 1 Location of Crater Lake National Park in Western U.S. 7 2 Fire Spread-Danger Units Within CLNP 9 3 Distribution of Pumice Deposits from Mount Mazama 3-A Generalized Geological Map Of CLNP And Vicinity 4 5 6 13 15 Color Enhanced Landsat MSS Base Data for Crater Lake National Park and Vicinity 17 Color-Coded 50-Foot Contour Map of Crater Lake National Park and Vicinity 18 Locations of Climatic Data Recording Stations In CLNP Region 25 7 Landsat Ground Coverage Pattern 38 8 Ground Scan Pattern for a Single MSS Detector 39 9 Landsat Tracking Scheme 42 Schematic Diagram of the Landsat MSS Scanning Arrangement 45 11 Landsat MSS System 47 12 Comparison of the Constant Mirror Velocity and the Variable Mirror Velocity of Landsat 50 Integration and Variable Overlapping of Pixels Corresponding to a Variable Mirror Velocity 51 Comparison of Distance Covered on the Ground for a Constant Mirror Velocity and a Variable Mirror Velocity 52 10 13 14 15 Ground Registration Error Due to Variable Mirror Velocity 54 XV LIST OF FIGURES - Continued Figure Page 16 Interleaving of Landsat Data 58 17 Atmospheric Correction Methods on Landsat MSS Bands 69 18 Concept of an Airborn Scanner 72 19 Loss of Boundary Resolution and Position 74 20 Spectral Reflectance of Two Pixel Component Surface Cover Types 76 21 Shape and Size Changes of Surface Cover Types 77 22 Atmospheric Attenuation In Normal And Color IR Photography 86 Locations of FMISs Within Crater Lake National Park 94 23 24-A Fuel Moisture IndicatOr Stick In the Field 96 24-B Moisture Measurement of FMIS with Chisholm Scale 96 25 NFDR 10-Hour Timelag Fuel Moisture Nomogram 26 CLNP 10-Hour Timelag FMIS Moisture Content 99 (North) 100 CLNP 10-Hour Timelag FMIS Moisture Content (Rim Dr. & Pinnacles Rd.) 101 28 CLNP 10-Hour Timelag FMIS Moisture Content (West) 102 29 CLNP 10-Hour Timelag FMIS Moisture Content 27 (South) 103 30 CLNP 10-Hour Timelag FMIS Moisture Content (Means) 104 31 Locations of DFSAs Within Crater Lake National Park 118 31-A Downed Fuel Inventory (Field Form) 119 xvi LIST OF FIGURES - Continued Figure Page 32 Ground Control Point Locations 187 33 Variations of Solar Radiant Loading on Various Slopes & Aspects - 09:32 Sept. 10, 1974 205 Dendogram Of Species, Crater Lake National Park, Oregon, Canberra Metric/Group Average 208 Color-Coded Digitized Slope Map of Crater Lake National Park and Vicinity 244 Color-Coded Digitized Slope Aspect Map of Crater Lake National Park and Vicinity 245 37 Original Cluster Classification-54 classes 248 38 Simplified Vegetation- 23 classes 249 39 Downed Fuel (T/A) 250 40 New IGOR Color Arrangement (248 Colors) 256 41 Key to Color Codes for Figures 37, 38, and 39 257 42 Key to Appendix II, 54 Cover Type Classes 288 43 Key to Appendix III, 23 Cover Type Classes 329 44 Key to Appendix IV, 13 Fuel Type Classes 370 34 35 36 xvii LIST OF TABLES Table 1 Page Comparative Climatic Data for Crater Lake Region (1941-1975) 23 26-year Monthly and Annual Averages of Precipitation Within Crater Lake National Park, Oregon 26 Variation of Snow Depth and Snow Meltout Period For Selected Sites Within Crater Lake National Park, Or. 29 4 Landsat 1 and 2 Orbital Parameters (September 1976) 40 5 Reflectance of Selected Minerals And Desert Vegetations 63 2 3 6 Fuel Moisture Indicator Sticks (FMIS) Stationed at North Entrance Road, Crater Lake National Park, Oregon 7 Fuel Moisture Indicator Sticks (FMIS) Stationed at West Entrance Road, Crater Lake National Park, Oregon 8 10 11 12 107 Fuel Moisture Indicator Sticks (FMIS) Stationed at Rim Drive and Pinnacles Road, Crater Lake National Park, Oregon 9 106 108 Fuel Moisture Indicator Sticks (FMIS) Stationed at South Entrance Road, Crater Lake National Park, Oregon 109 Weather Conditions on Two Days Prior and on the Days FMISs' Moisture Measurements Were Made within Crater Lake National Park 110 Comparative Long Term and 1978 Summer Months' Temperature and Precipitation within Crater Lake National Park 113 Downed Woody Material Computation Summary -Study Site #1 122 xviii LIST OF TABLES - Continued Table 13 14 15 16 17 18 19 20 21 22 23 24 25 26 Page Downed Woody Material Computation Summary -- Study Site #2 123 Downed Woody Material Computation Summary -Study Site #3 124 Downed Woody Material Computation Summary Study Site #4 125 Downed Woody Material Computation Summary Study Site #5 126 Downed Woody Material Computation Summary Study Site #6 127 Downed Woody Material Computation Summary Study Site #7 128 Downed Woody Material Computation Summary Study Site #8 129 Downed Woody Material Computation Summary Study Site #9 130 Downed Woody Material Computation Summary Study Site #10 131 Downed Woody Material Computation Summary Study Site #11 132 Downed Woody Material Computation Summary Study Site #12 133 Downed Woody Material Computation Summary Study Site #13 134 Downed Woody Material Computation Summary Study Site #14 135 Downed Woody Material Computation Summary Study Site #15 136 xix LIST OF TABLES - Continued Table 27 28 29 30 31 32 33 34 35 36 37 38 39 40 Page Downed Woody Material Computation Summary Study Site #16 137 Downed Woody Material Computation Summary Study Site #17 138 Downed Woody Material Computation Summary Study Site #18 139 Downed Woody Material Computation Summary Study Site #19 140 Downed Woody Material Computation Summary Study Site #20 141 Downed Woody Material Computation Summary Study Site #21 142 Downed Woody Material Computation Summary Study Site #22 143 Downed Woody Material Computation Summary Study Site #23 144 Downed Woody Material Computation Summary Study Site #24 145 Downed Woody Material Computation Summary -Study Site #25 146 Downed Woody Material Computation Summary -Study Site #26 147 Downed Woody Material Computation Summary -Study Site #27 148 Downed Woody Material Computation Summary -Study Site #28 149 Downed Woody Material Computation Summary -Study Site #29 150 LIST OF TABLES - Continued Page Table 41 42 43 44 45 46 47 48 49 50 51 52 53 54 Downed Woody Material Computation Summary -Study Site #30 151 Downed Woody Material Computation Summary Study Site #31 152 Downed Woody Material Computation Summary Study Site #32 153 Downed Woody Material Computation Summary Study Site #33 154 Downed Woody Material Computation Summary Study Site #34 155 Downed Woody Material Computation Summary Study Site #35 156 Downed Woody Materi.1 Computation Summary Study Site #36 157 Downed Woody Material Computation Summary Study Site #37 158 Downed Woody Material Computation Summary Study Site #38 159 Downed Woody Material Computation Summary Study Site #39 160 Downed Woody Material Computation Summary Study Site #40 161 Downed Woody Material Computation Summary Study Site #41 162 Downed Woody Material Computation Summary -Study Site #42 163 Downed Woody Material Computation Summary -Study Site #43 164 xxi LIST OF TABLES - Continued Table 55 56 57 58 Page Downed Woody Material Computation Summary Study Site #44 165 Downed Woody Material Computation Summary Study Site #45 166 Downed Woody Material Computation Summary Study Site #46 167 Downed Woody Material Computation Summary Study Site #47 59 Downed Woody Material Computation Summary Study Site #48 60 62 63 64 65 67 68 170 Downed Woody Material Computation Summary Study Site #50 171 Downed Woody Material Computation Summary Study Site #51 172 Downed Woody Material Computation Summary Study Site #52 173 Downed Woody Material Computation Summary Study Site #53 174 Downed Woody Material Computation Summary Study Site #54 66 169 Downed Woody Material Computation Summary Study Site #49 61 168 175 Downed Woody Material Computation Summary Study Site #55 176 Downed Woody Material Computation Summary Study Site #56 177 Downed Woody Material Computation Summary Study Site #57 178 LIST OF TABLES - Continued Page Table 69 70 Downed Fuel Variation Within Dominant Species of Crater Lake National Park 181 UTM Coordinates and Locations of Ground Control Points 188 70-A Computer Printout of Map to Gray Scale Registration 71 72 73 Parameters Established for 56 DFSAs and 47 Nonforested Areas Within Crater Lake National Park 196 Solar Radiation Amounts Within DFSAs at the Time of Landsat 2 Overpass 200 Field Observation Information for DFSAs Within Cluster A 210 73-A Means and Standard Deviations of Landsat MSS Data For Ground Truthing Sites Within Cluster A 74 Field Observation Information for DFSAs Within Cluster B 74-A Means and Standard Deviations of Landsat MSS Data For Ground Truthing Sites Within Cluster B 75 Field Observation Information for DFSAs Within Cluster C 75-A Means and Standard Deviations of Landsat MSS Data For Ground Truthing Sites Within Cluster C 76 Field Observation Information for DFSAs Within Cluster D 76-A Means and Standard Deviations of Landsat MSS Data For Ground Truthing Sites Within Cluster D 77 189 Field Observation Information for DFSAs Within Cluster E 211 213 214 216 217 219 220 222 LIST OF TABLES - Continued Table Page 77-A Means and Standard Deviations of Landsat MSS Data For Ground Truthing Sites Within Cluster E 223 78 Field Observation Information for DFSAs Within Cluster F 78-A Means and Standard Deviations of Landsat MSS Data For Ground Truthing Sites Within Cluster F 79 Field Observation Information for DFSAs Within Cluster G 79-A Means and Standard Deviations of Landsat MSS Data For Ground Truthing Sites Within Cluster G 80 Field Observation Information for DFSAs Within Cluster H 80-A Means and Standard Deviations of Landsat MSS Data For Ground Truthing Sites Within Cluster H 81 Field Observation Information for DFSAs Within Cluster I 81-A Means and Standard Deviations of Landsat MSS Data For Ground Truthing Sites Within Cluster I 82 Number of Pixels in Each 54 Original Cluster Classes 83 Means of MSS /Topographic Data Set for 54 Original Cluster Classes 84 224 225 226 227 228 229 230 231 241 242 Standard Deviations of MSS/Topographic Data Set for 54 Original Cluster Classes 243 85 Key to Figure 37 and Appendix II 252 86 Key to Figure 38 and Appendix III 259 87 Key to Figure 39 and Appendix IV 260 xxiv LIST OF TABLES - Continued Page Table 88 Fuel Classes and Amounts of Downed Fuer in Each Class 262 89 Numerical Specifications of Fuel Classes 263 AN INVESTIGATION OF THE UTILITY OF LANDSAT 2 MSS DATA TO THE FIRE-DANGER RATING AREA, AND FOREST FUEL ANALYSIS WITHIN CRATER LAKE NATIONAL PARK, OREGON Introduction The primary objective of this research was to investigate (1) the utility of Landsat 2 multi-spectral scanner (MSS) data in rating an areas' fire-danger and(2) do a forest fire fuel analysis within Crater Lake National Park, Oregon. In this study, Landsat MSS data were utilized in conjunction with: 1) National Aeronautics and Space Administration (NASA) U-2 color infrared photographic data of various scales, 2) National Cartographic Information Center's (NCIC) digital topographic data of the region, and 3) data acquired through field observation with regard to the amounts of downed fuel under domin- ant forest species within the Park. The flow of the argument is presented in seven chapters. Chapter one focuses on the problem statement and geographic area description. In Chapter two, physiographic characteristics of the study area are examined with regard to forest fires within the Park. Within Chapter three the specifications of Landsat reconnaissance satellites, and MSS digital computer compatible tapes are studied to aid those not familiar with the limitations of the Landsat MSS system. Details of those limitations with regard to Landsat MSS data classification and problems of pixel integration are discussed in Chapter four. Field data acquisition processes with regard to downed fuel moisture content measurements, and the strategy employed in the inventory of downed woody material was extensively examined and is categorized in Chapter five of this study. Chapter six is devoted to a Landsat spectral/NCIC digital topographic data set classification and interpretation procedure. Also included in Chapter six are analysis techniques utilized in generating color-coded photographic products of forest species, and downed fuel amounts within Crater Lake National Park. Chapter seven includes the summary and conclusions of this research. It is believed that findings of this study, and availability of computer generated photographic and digital maps with regard to: 1) characteristics of dominant forest species of the Park, and 2) the amounts of downed fuel available for forest fires, will assist the National Park Service's Fire Control Division in its fire control efforts within fire hazardous sites and in regulating related tourist activities within Crater Lake National Park. 3 Problem Statement Except for prescribed fires, all forest fires are devastating phenomena. Every year forest fires burn and devaluate millions of acres of forest lands all over the world. Forest fires are especially critical in midlatitudes where dramatic changes in regional climatic elements from wet to dry season favor forest fire fuel loading and fuel ignition. According to the Oregon State Forestry Department, the forest fire season in Oregon starts in early July and extends until late October. During this time period an average area of 25,000 acres of forest lands are destroyed (Oregon State Forestry Department, 1969). During the 1970 forest fire season, each forest fire destroyed an average of 57 acres within the Pacific States region (USDA, 1971). An investigation into a forest fire probability index reveals that the following categories are basic parameters in forest fuel fire loading processes: 1. biomass parameters: a. understory characteristics; is it brush, dead fuel or their combination, and are these moist or dry, b. 2. fuel size and moisture content. physical parameters: 4 a. atmospheric conditions: especially temperature, humidity, wind direction and wind speed, b. surface environment such as topography, slope, slope aspect, and soil moisture characteristics (Brown and Davis, 1973). Although it would seem a simple task to study the foregoing phenomena and thus be able to forecast and even to prevent forest fires, in practice it has proved to be otherwise. In the United States, for example, in spite of its well organized and advanced forest services and technology, limitation of manpower in the Forest Service in comparison with forested land areas of the country has made forest fire prevention, not only a difficult, but an impossible task. In recent years, United States National Aeronautics and Space Administration (NASA) by its successful launching of Landsat Satellite Series into earth's orbit has opened a new era and horizon for scientific researchers of all disciplines who are involved in aerial surveillance activities in their studies. Landsat satellites, by scanning the globe accumulate first hand data from every region on the earth; an accomplishment which would otherwise be impossible. As in many other disciplines, foresters and scientists in related fields have benefitted greatly from the advantages provided by Landsat MSS data. Their approach, in this respect has been mainly devoted to forest inventories, damage survey and damage control, 5 and similar activities. In an attempt to further extend Landsat MSS data application to silvicultural studies, this study has aimed to investigate the potential capability of Landsat MSS data in inventorying downed woody material, surveying forest fuel fire loading characteristics, and ultimately in establishing fire prevention criteria within Crater Lake National Park, Oregon. 6 Study Area For the purpose of this research Crater Lake National Park in the southern High Cascades of Oregon was selected. Crater Lake National Park is located between North latitudes of 42°46' and 43°04' and between West longitudes of 121°59'50" and 122°15'56". Figure 1 represents the location of the National Park within western United States. Why Crater Lake National Park was Selected as a Site for a Forest Fire Fuel Study Area In selecting Crater Lake National Park as a study area for this research the following considerations were involved: 1. The area represents one of the most unusual physiographic landscapes of the world. For this reason tourism and tourist activities have increased steadily. This trend is expected to continue through the coming years. Hence man-caused forest fires are expected to increase proportionally to increased tourist activities. 2. Large scale NASA U -2 color infrared photographic coverage for the Park was available. 3. A recent Landsat digital cover map (Walsh, 1977), was available, which together with U-2 color infrared photographs provided excellent aids for selection of Fuel Moisture Study Areas 7 Location Of Crater Lake National Park In Western U.S. VANCOUVER CA /4104 UNITED STATES WASHING TION SEATTLE MONTANA SPOKANE IDAHO 1101111 CRATER LAKE NATIONAL M1101,010 I PARK Mei I LAIAt FAU.& 05150N 0111.11101LE.M10011110.11MOMP=. NO WO CAVES NATIOOMI. MONUMENT NEVADA ORNIA 50 25 0 50 110 MILES SAC X/14,101,0 f44:441 SAN FRANCS= Figure 1. Adapted from NPS (1977). 8 and Downed Fuel Inventorying Areas. 4. Observing the objectives of the National Park Services Fire Management Plan for Crater Lake National Park, considering its accumulated fire history, the park has already been divided into three fire units (Figure 2). Units 1, 2, and 3 designate respectively wild fire regions within the Park with 1) no fire spread danger to "outside the park" resources, 2) an intermediate area, and 3) an extreme fire zone which is hazardous to the flora and fauna of Crater Lake National Park and its immediate vicinity. The Fire Management Plan of the National Park has provided overall approved directions for the management of natural, wildland, and prescribed fires within Crater Lake National Park. The National Park Service with this Fire Management Plan, aims to preserve the Park as a natural wildland while minimizing wild fire spread hazards from the National Park to its neighbouring national forests (Betts and Dickenson, 1977). The present study was designed to provide the Park Service with downed fuel characteristics for every dominant forest type as related to topographic phenomena such as elevation, slope, and slope aspect within the Park. The current chapter has provided the reader with basic information about the purpose, and objectives of this research, and with the location of the study area. In the forthcoming 9 Fire- Spread-Danger Units Within CLNP ,0 offilleflo 1111111.01IIIIIITA"Ii lll,ro, . r" rt Fl RE DANGER UNITS Unit 111.11:11.1111141111 Intermidiatt Zone Figure 2. Extreme Hazardans Zoos Proscribed Firs 119761 Adapted from Betts and Dickenson (1977). 10 chapter physical characteristics of Crater Lake National Park will be discussed as background for persons not knowledgeable about the Crater Lake environment and because the physical conditions have important relationships to forest wild fire potential. 11 CHAPTER 2. PHYSICAL CHARACTERISTICS OF THE PARK WHICH MIGHT INFLUENCE FOREST FIRES WITHIN CRATER LAKE NATIONAL PARK Physical Setting The Cascade Mountains, one of the main western highlands of the United States between the Rocky Mountains to the east and Coast Range to the west, extend from Northern Washington State, through Oregon, to Northern California. This Cascade Range itself repre- sents two distinctive structural landscapes. The Western Cascades are a belt of Tertiary lavas and pyroclastic rocks. The High Cascades, on the other hand are younger volcanic cones of Pliocene and recent structural origin. At the time that the recent volcanic eruptions of the Eastern or High Cascades started, Tertiary lavas and pyroclastic rocks of the Western Cascades had already been folded and deeply eroded. During the Pleistocene epoch the High Cascades region rose and numerous mountain peaks developed. Mount Mazama, remnants of which enclose Crater Lake today, was one of these newly developed peaks. This mountain began to grow about two million years ago (Williams, 1942); and became a rival peak to Mount Hood (elevation 11, 253 feet = 3430 m. ) before it erupted and became Crater Lake. Similar to the large number of volcanoes of the High Cascades, Mount Mazam.a's eruptions were explosive in nature. These eruptions took place during the recent epoch of the 12 Quaternary period. Falling pumice from Mount Mazama's final cataclysmic eruption 6600 years ago (plus or minus 200 years) covered more than 350,000 square miles. The depth of falling pumice and its orientation varied as controlled by the prevailing winds of the time (Figure 3). Of the total of 350,000 square miles only 5,000 square miles were buried under more than 6 inches of falling pumice. Farther away from Mount Mazama's eruption center the size of falling pumice and its depth decreased. Some very fine pumice was carried as far as Alberta, Canada (Williams, 1942, and USGS, 1956). As a result of this extremely explosive eruption, Mount Mazama was destroyed and its peak collapsed into the mountain creating a caldera approximately twenty-four square miles in size. Later, one other, although smaller, orogenetic activity took place at the bottom of the caldera resulting in the present day Wizard Island which continued to erupt until it reached its present dimensions about 1,000 years bp. Today it consists of a symmetrical cinder cone about one half mile in diameter and a summit rising 763 feet above the level of the Lake. Geologic and botanic studies have indicated that Wizard Island erupted at about 1,000 years bp, and ceased volcanic activities not later than 800 years ago (Williams, 1942 and 1953). The structural setting of Crater Lake National Park consists of Pleistocene cones of Andesite and Pliocene shield volcanoes of basalt. Underlying rocks include the Tertiary lava flows of the Western 13 Distribution of Pumice Deposits from Mount Mazama 0,{/ Pumice and Scoria Flow (glowing avalanches) Pumice Fail Depth of Pumice *'1.4 Pqvi2 AYarnSac Mountain Union Peek Prosoect* Fort ICIAtOstli Wasni*S Pumice Lipper 1{1a/nath takt Figure 3. Adapted from U.S.G.S. (1956). 14 Cascades. A generalized geologic map of Crater Lake National Park and vicinity (Figure 3-A) represents the resultant physiographic landscape of the region after Mount Mazama's volcanic activities ended. The region is now mainly covered with lava rocks and pumice produced by Mount Mazama's eruptions. There are also remnants of Tertiary lava covered land to the north and to the northwest of the Park. To avoid repetition in geological research study of the region, it is suggested that readers interested in more information on geologic history of the Park refer to a recent summary on this subject by Stephen J. Walsh (1977). Original detailed information on the subject is available through extensive publications by Howel Williams (1942, and 1953). Crater Lake National Park is about 120 miles inland from the Pacific Ocean. Orogenetic and volcanic activities within the National Park has resulted in a complex topography where abrupt changes in elevation are common especially around the rim areas. While elevations in the southwest corner of the Park are less than 4,400 feet (about 1341 m.), within a short distance to the northeast on the summit of Mount Scott east of Crater Lake, it reaches to 8,926 feet (2721 m.). With the exception of the caldera rim and a number of scattered volcanic cinder cones around the Park, the elevation ranges between 5,000 and 6,000 feet (1524 m. to 1829 m.), within the 15 Generalized Geological Map Of CLNP And Vicinity 112i ,3"^ 789, !al.* Critif balleft Cael . ,r/ i. V 3 ,:r5.J, A .4. Oasts acs. lommL;;:16' - al' .< Groulso ntio . l Resell 3" ''''..". 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C:'t?" 0....,.... I1< .1,i ...kW' StIttlfmlf ROC* 14:0.'''*.579:0.... ,...t Sc ---'-'.4- 5236 SI...1 3i 7, .,..,analog ....."...\''''''..............." / aca Os* ... ./V, Iir "es 3 ........" Si "- <7.... "....:: .."--., :<107:::5 ') N......, ........:-.........twit ,;mern n p---.,14m.r. .4, ,\. - -1,z.±.,;;;`,.< *"..23 c,...:,--41--.. r4(<<'.:< - - zreth 34.,.4%O., 's-e...,' 4.141 .2 P-e-Mazaina Lavas 1.411.01.1 Peas Law-as ! Mount Mamma Andesites Mount Manama Dscites 1 Mount Scott Lavaa1 Dikes and vents on caidera wails .= Parasitic cinder cones r Glowing avaianche deposits = Timber Crater Lavas Figure 3A. Adapted from Williams (1942) and USGS (1956) 16 boundaries of this National Park (USGS, 1956). This unique landscape of the park provides powerful controls over the climate and vegetation of the region. Figure 4 is a photographic product of computer assisted color enhanced Landsat digital data of Crater Lake National Park and vicinity acquired on September 10, 1974. Computer color enhanced images of Landsat MSS digital data are composites of three basic colors (red, blue, and green), and their different hues. In this figure (Figure 4), nonvegetated areas such as Pumice desert and rim walls as well as bare mountain summits such as Crater Peak, Timber Crater and Union Peak, are shown in bright colors. Forested areas of the National Park are shown in different shades of blue; lighter tones representing lower densities of forest cover types. Deep valleys or canyons are represented by different tones of red depending on cover type density and their reflectance intensities. Figure 5 is a color enhanced digital contour map of the National Park and vicinity with contour interval of fifty feet. This figure has been produced from topographic digital tapes provided by National Cartographic Information Center (NCIC) in Reston, Virginia and adjusted to the handset pixel grid format. Comparing figure 4 with figure 5, it is evident that distribution of vegetation within the National Park is a function of topography. According to observations made within the Park during the summer Color Enhanced Landsat MSS Base Data for Crater Lake National Park and Vicinity. Figure 4 Color-Coded 50 Foot Contour Map of Crater Lake National Park and Vicinity. Figure 5 19 of 1978 lower regions of the Park are forested by Lodgepole Pine (Pinus contorta) and are represented in light blue in Figure 4 and light to medium blue in Figure 5. Areas with higher elevations which have been presented in different tones of red and purple in Figure 5 are forested with Mountain Hemlock (Tsuga mertensiana) and/or Shasta Red Fir (Abies magnifica var. Shastensis). In Figure 4 such areas are shown in darker shades of blue or red. Ground truthing also assures that Whitebark Pine (Pinus albicaulis) with similar reflectance values of that of Lodgepole Pine, replaces it in areas with higher altitudes. Such is the case in Crater Lake rim area. It is suggested that topographic phenomena in general, and elevation in particular has powerful control( s) over distribution and dominance of cover types within the National Park. Data accumulated through "ground truthing" during the summer of 1978 within the Park, has indicated that different cover types of the National Park have different downed fuel characteristics. These characteristics will be examined and categorized in Chapter 5. 20 Climatic Elements Data Acquisition Extensive long period climatic records for Crater Lake National Park do not exist. Sternes (1963), has compiled a brief climatic record and climatic analysis for the Park which is based solely on observations made at Crater Lake National Park Headquarters from 1924 through 1961 with a five year gap from 1942 through 1946. Obviously this station, located at an elevation of 6,475 feet (1974 m. ), cannot represent an overall picture of the climate of as complex a terrain surface as Crater Lake National Park, where drastic and abrupt changes in elevation and orientation of deep valleys have created numerous microclirnatic regions. None the less, in the absence of any other climatic records for any appreciable period of time for the region, this original work was chosen for analysis. In addition, short term climatic data for the Park were acquired as follows: a. Snow depth and snow meltout data were made available for seven selected snow depth observation stations within the Park. These data are from field observations made weekly by Dr. James F. Lahey and Mr. William Hamilton from early fall of 1977 through the summer of 1978. b. Weather reports from observations made at 21 Crater Lake National Park Headquarters during summer months of July, August and September, 1978. Availability of these data provided day to day weather reports for the period of field observation of downed fuel moisture content within the National Park. Climatic Analysis Located within northern hemisphere middle latitudes, a short distance from the North Pacific, and under a basic westerly wind flow, the High Cascades of Oregon are moisture barriers. Although the Park is slightly south of the main track of the numerous winter storms, which originate from the North Pacific, it still is well within the belt of their influence (Sternes, 1963). These locational factors, together with topographic configuration of the Park, control all major climatic phenomena; temperature, precipitation and solar radiation within the National Park. These phenomena are discussed below. Temperature In any month of the year freezing temperatures can be observed at all elevations within the Park. Within the National Park, there is steady decline in temperatures as elevation increases. An exception to this ruel, are "pools'? of cold air in certain regions at lower elevations the eastern slopes and eastern or southern plateau within the National Park. Sternes (1963) considered three 22 primary conditions for the occurrance of cold "pools ": a. Impeded air drainage: formation of stagnant cold air due to poor air drainage in all directions such that normal daily mountainvalley breeze does not take place effectively. b. Invasion of Arctic Air: This air mass forming over contin- ental snow and ice field of the continent moves southward along the east side of the Rocky Mountains. Occasionally, a segment of this air mass breaks through into the Western Rockies and moves toward the eastern slopes of the Cascade Range. Residing there, this Arctic air mass causes lower temperatures for the region. c. Noneffective Incoming Marine Air: Due to seasonal sea versus land temperature characteristics, during the winter months the marine air mass is warmer and hence lighter than either stagnant air or Arctic air already in the region. As a result, incoming marine air glides over the existing colder, denser air on the ground without having any effect on the temperatures of lower elevations. Average maximum summer time temperatures within the Park vary from the high 60's at the caldera rim to lower 90's in Munson Valley. Average maximum winter temperatures are in the 50's. Table 1 gives the annual average temperatures and also average temperatures for the months of January and July, for the National Park in comparison with data from surrounding climatic data recording stations Comparative Climatic Data For Crater Lake Region (1941 - 1975) Station Elevation feet (meters) Latitude Longitude (N) (w) Ave. Temperature F (C) July Annual Jan. Ave. Precip. in. (cm) Annual June Snowfall Aug. Medford 1312 (400) 42 Trail 14 NE 1885 (575) 42 Prospect 2 SW 2482 (766) 42 44' 122 31g Klamath Falls 2 4098 (1234) 42 12' 121 47' Chiloquin 4220 (1286) 42 35' 4760 43 13' 121 42 54' 122 Chemlut 52' 4 ?' 122 122 121 52' 40' 6475 (1974) 55.6 65.4 (2.0) (18.6) 52.2 (11,2) 51.3 20.5 1.4 (52.0) (3.6) 47.2 2.5 00.7) 019.9) (6.3) 66.? (1.9) (19.3) 50.1 (10.1) 42.9 (108.9) 68.1 29.5 (-1.4) (20.1) (8.8) n.9 35.5 7.5 (19.1) 2.4 (6.1) 41.0 14.2 1.7 (36.0) (4.2) (104.1) 26.4 59.1 (-3.1) (15.1) 42.8 (6.0) 18.3 1.8 (46.6) (4.6) 47' 60.0 25.2 (-3.8) (15.6) 41.8 (5.4) 26.4 2.4 160.0 (67.1) (6.0) (406.4) 08' 24.8 53.3 (-4.0) (11.8) 37.7 (3.2) 69.8 4.0 590.0 (177.1)(10.1)(1498.6) 52' (1451) Crater L. Nat. Park Hqs 36.7 71.9 (2.6) (22,2) Table 1. Adopted from NPS, Denver Service Center, 19 ?? 24 (Figure 6). The climatological data recorded by eight climatic data recording stations located in the vicinity of this National Park reveals the expected decline in temperature as a function of increased elevation. Precipitation Variation in elevation, slope and aspect are major factors controlling precipitation within the Park. Comparative climatic data of the Park region (Table 1), indicate that areas at higher elevations receive more precipitation than the regions at lower altitudes unless unfavorable slope-aspects have created rain shadow areas. Such a condition prevails on the eastern slopes of the National Park where average annual precipitation amounts decline from about 70 inches (178 cm.), at the crest to slightly more than 25 inches (64 cm.), in the eastern lower areas of the National Park (Sternes, 1963, and NPS, 1977). Two major factors are the cause of this phenomenon: a. Ascending air together with general air flow over the region from the southwest to northwest during storms results in much precipitation before the air passes to the eastern slopes of the Park. b. Descending air on the eastern slopes causes the air to be 25 Locations Of Climatic Data Recording Stations In CLNP Region 0CHEMULT 16- .5VAERIAL DISTANCE ( Miles I /CRATER LAKE .7.0<----111 NAT. PARK HQS. TRAIL 14 NE 0 ,---,vV PROSPECT 0 -190 FORT KLAMAT%\ CH1LOQUIN °MED FORD KLAMATH FALLS 0 Figure 6 26-year Monthly and Annual Averages of Precipitation Within Crater Lake National Park, Oregon Period (year) Jan. in (cm) Feb. 10.35 8.60 in (cm) March in April in May in June in July in Aug. (cm) (cm) (cm) (cm) (cm) (cm) Sept. in (cm) 3.14 (7.98) 2.53 (6.43) 0.66 0.55 2.11 (1.68) (1.40) in Oct. in (cm) Nov. in (cm) Dec. 7.64 11.89 Ann. in in (cm) (cm) 1926 to 8.39 4.33 (21.84) (21.31)(11.00) (26.29) 46 to 1941 & 19 1961. Table 2. Adopted from Starnes (1963) 6.39 70.30 (5.36) (16.23)(19.38) (30.20) (178.56) 27 compressed to increase its temperature and decrease its relative humidity on these lee slopes. From mid fall through spring the region receives most of its annual precipitation. During this period land surfaces of the region have much lower temperatures than the adjacent oceanic waters. Furthermore, topography of the region favors orographic precipitation. As the result, incoming, nearly saturated, marine air masses which are considerably warmer than the land over which they are travelling have their temperatures decreased both by air to surface cooling and by the orographic cooling process. This results in great amounts of moisture being released. From late spring through summer and early fall, due to the reversed conditions with regard to sea versus land temperatures, the region receives very small amounts of precipitation (Table 2). During this period of the year interior ground temperatures are considerably higher than those of the ocean beaches. This is true even at the crests of the caldera rim and other higher elevations. As a result, higher inland temperatures cause the incoming air mass to become warmer and hence increase its moisture retaining capacity. Besides, at this time of year there is almost total absence of large scale storms moving into the region; a common situation during winter months. With summertime storms being rare, and with heavy precipitation during winters, the climate of Crater Lake National 28 Park is characterized by cool dry summers, and cold wet winters (Sternes, 1963). Table 2 gives monthly, and annual averages of precipitation within Crater Lake National Park. Snowfall More than 70% of the total precipitation within the Park occurs as snowfall. Duration of snow and snow depth vary significantly with regard to variation in elevation and slope aspect. Typically at higher elevations of the Park, the first measurable snowfall occurs in late September or early October. Annual snowfall at the Park Headquarters varied between 277 and 879 inches (between 704 and 2233 cm. respectively), for the recorded data period from 1924- 196 i(Sternes, 1963), with being average snowfall for the Park Headquarters station 590 inches (1498 cm. ), (see Table 1, NPS 1977). Table 3 presents snow depth variation and meltout period for selected sites within Crater Lake National Park and vicinity for the 1977-78 snow season. According to weekly snow depth observation (Table 3), the Panhandle area with an elevation less than 4,500 feet (1348 m.), received measurable snowfall about a week later than other sites mentioned for the Park in Table 3. Also the maximum accumulated snow depth for this same Panhandle site was much smaller than for other siteswithin the Park for which snow depth observation have been It 0 En 1 Variation Of Snow Depth and Snow Meltout Period For Selected Sites Within Crater Lake National Park, Or. Location Elevation 1st Measurable Snow Accumulative Snow & feet On The Ground UTM Coor. (meters) Date Snow Dep. Date Snow Dep. Of Obs. Of Ohs. in. (cm) in. (cm) Panhandle, 576650 E., 4735300 N. 4.421 11/5/7? (1348) HWY 62 W, 562100 E., 4748650 N. 5550 (1692) 11/5/77 Annie Sp., 568350 E.$ 4746700 N. 6012 (1833) 10/29/77 4 Crater L. Nat. Park, Hqs., 569859 E., 4749900 N. 6950 (2119) 10/29/77 5 Junc. Him 7000 (2134) 10/29/77 5775 10/29/77 2 3 Dr. &N. Rd. 2/17/78 52.1 (132.4) 5/13/78 a/ 1 7/ 7 8 63.5 (161.3) 5/13/78 2/10/78 102.8 (261.1) 7/2/78 3.1 (7.9) 2/11/78 116.0 (294.6) 7/2/78 3.2 2/11/78 137.0 (348.0) 7/15/78 3/8/78 79.0 (200.7) 7/15/78 23.8 (60.3) 3/25/78 441 (10.5) 4.3 (10.8) 1.8 , Date Snowmelt Completed ( 4.6) (8.1) 569650 E., 4750850 N. 6 7 Junc. N.Rd. & HWY 138W, 592250 E., 4770750 N. Junc. HWY 138 & US 97, (1761) 4700 (1433) 11/5/77 1.8 (4.5) 2.3 ( 5.7) 2/17/78 592000 E., 4770500 N. Table 3. Source: Field observations taken by Dr. James F. Lahey and Mr. William Hamilton. 30 tabulated in Table 3. Site 5 in Table 3, located at rim area at an elevation of 7,000 feet (2134 m. ), had the most accumulated snow within the Park (137 in. = 348 cm.), followed by site 4 at the National Park Headquarters at an elevation of 6,950 feet (2119 m.), (116 in. = 295 cm. ). With regard to snow season duration, it is evident that sites 3, 4, and 5 all with elevations over 6, 000 feet (1829 m.), had snow on the ground from late October to early July; about two months longer than the other sites, all with elevations of less than 5,800 feet (1770 m.). Within the Park, snowfall, snow depth and snow duration on the ground is a function of topography, slope aspect, and elevation. Maximum snow depth during the snow season for the National Park Head- quarters has been recorded as 155 inches (394 cm. ). For the 1978 snow season however, this value was recorded as 116 inches (295 cm.), on February 11, 1978. As is presented in Table 3, snow depth varies significantly within various areas of Crater Lake National Park. In fact, the snow season not only starts earlier but also lasts longer in the areas with higher elevations than those with lower altitudes within the Park. It is reasonable to conclude that the snow season starts from areas with higher elevations and spreads downward onto areas with lower altitudes within the Park. On the other hand snow meltout starts from lower elevations and makes its way up toward areas with higher altitudes within the National Park. To this rule, wind field 31 and snowfall characteristics of the region (mentioned above in this chapter) should be added. Obviously, the longer snow duration on the ground will result in more moist downed fuel and moist soil which in turn will delay season of potential wild fire spread within those areas of the National Park. On the other hand, areas with lower elevations with favorable slope aspect to solar heat loading dry earlier and thus enhance forest fire danger. As a result, lower areas will have longer forest fire seasons and lower elevations with southern to western slope aspects tend to be more critically prone to forest fires. Due to diurnal insolation intensity characteristics, these areas will have greater solar heat loadings than areas with northern or northeastern slope aspects. At the present time Dr. Lahey, Mr. Scott Kolar, and Mr. William Hamilton are conducting concurrent snow field studies within Crater Lake National Park. Through these studies, characteristics of two climatically different snow seasons of the National Park, one for the relatively dry snow season of 1976-77, and the other for a so-called normal snow season of 1977-78, will be examined. To avoid duplication, this study will not investigate this topic. Solar Radiation Solar_energy is the most important controlling factor of the climate in any region on earth. It is also by far the most significant parameter 32 in forest fire danger. The rate of solar loading has been estimated to be between 1.94 and 2.00 calories per square centimeter per min- ute at the top of the earth's atmosphere when it is illuminated by the sun's beam normal to that square centimeter. Solar radiation reaching the surface of the earth is called global radiation, which consists of direct and diffuse solar energy, the latter being energy diffused by atmospheric clouds and dust particles. It has been calcu- lated that solar heating of the earth's surface depends on several factors, among those the astronomical parameters and angle of incidence being the most significant (Rosenburg, 1974). These para- meters are examined below: a. Astronomical factors result from the laws of earth-sun geometry which include eccentricity in the earth's orbit around the sun. Eccentricity aphelion and perihelion phases of the earth's orbit around the sun causes the intensity of solar radiation upon the earth's surface to vary from its average value by plus or minus 3. 5%. As a result of this, summers in the northern hemisphere are somewhat cooler, and winters a little warmer than their equivalent seasons in the southern hemisphere (Lamb, 1972). The subject will be given further consideration in chapter 6, where, solar insolation intensity will be calculated for various slopes and aspects of the study area with regard to Landsat 2 overpass time of the region on September 10, 1974; the time during which MSS data utilized in this research 33 had been acquired. b. The angle of incidence of the solar beam varies with slope angle and slope aspect of the surface exposed to sun's energy. In accordance with Lambert' s Cosine law, slope affects the intensity of radiation absorption by the "cosine effect" (Rosenberg, 1974). In other words, the incident angle with larger cosine value assures the larger quantity of solar energy input on the exposed surface. In this respect, slope angle and slope aspect are of significant importance in middle latitudes. In the tropics the sun stays high through the year, while in high latitudes there is a greater proportion of diffused to direct solar beam (because of low sun angle), on one hand and dominance of cloudiness on the other which reduces the significance of "cosine effect". Both factors have significant effects on the heat loading characteristics of Crater Lake National Park because of its location in middle latitudes and also because of its complex and rough topography with many slopes and aspects. 34 Chapter summary In this chapter: 1. Physiographic characteristics of the Park that control climatic phenomena within the Park have been discussed, Z. Variations in precipitation amounts on different areas of the Park in conjunction with seasonal temperature variations within the National Park have been discussed, 3. Correlation between topography and vegetation within the National Park has been considered, 4. Snow season variability and its duration with regard to topographic phenomena of the National Park have been examined so that physiographic factors and their control over forest fires can be appreciated, Due to the usefulness of Landsat MSS data for the objectives of this research, the first section of the forthcoming chapter will be devoted to a statement concerning the systematic characteristics of NASA Landsat satellites, and their observational systems. In the second section of the chapter, computer compatible tapes (CCT) will be described. 35 CHAPTER 3. LANDSAT RECONNAISSANCE SATELLITES AND MSS DIGITAL COMPUTER COMPATIBLE TAPES Introductory Statement The effective utilization of Landsat digital data requires understanding of the Landsat operational system. Therefore, the Landsat satellite series, their observatory systems, and operational characteristics are discussed in this chapter. 36 NASA Landsat Satellites NASA initiated the Landsat program by launching Earth Resources Technology Satellite (ERTS) into an earth orbit on July 23, 1972. The foregoing name was later changed to "Landsat 1". Less than three years later, Landsat 2 was launched into an earth orbit on January 21, 1975, and this was followed by Landsat 3 on March 5, 1978. After orbiting the globe for more than 5 years, Landsat 1 ceased operation on January 6, 1978. During this period of time Landsat 1 had returned data for 300,000 images of the earth's surface from space (NASA, 1978). Landsat Systems Sun-synchronous earth orbiting Landsat satellites have been designed and developed by the United States National Aeronautics and Space Administration (NASA) to provide repetitive surveillance coverage of the globe, and simultaneously acquire high resolution multispectral data of the earth's surface characteristics. The orbiting direction of Landsat satellites is from N. Northeast to S. Southwest during data acquisition. It takes 103 minutes to complete a revolution. The southward revolution of Landsat is on the illuminated hemisphere of the globe with a nominal 9:30 A. M. descending node (equatorial crossing). Since orbital characteristics of Landsat 3 were not available at this time, Table 4 depicts only parameters for 37 Landsat 1 and 2. Due to the oblateness of the earth's surface and perturbational forces acting upon the spacecraft, the altitude of the satellites varies between 880 to 930 kilometers (between 547 to 578 miles). As presented in figure 7, the daily earth coverage swath of the spacecraft shifts 1.43 degrees (159 Km = 99 mi. ), westward at the equator. The revolutions progress systematically in a westwardly direction until all the area between orbit N and orbit N+1 in figure 7 is covered. This coverage is termed "one complete cycle". The time required for one complete cycle is exactly 18 days consisting of 251 revolutions or approximately 14 revolutions per day for 18 days (NASA, 1976). During this period of time the orbital parameters of the Landsat spacecraft provide a complete global coverage between 81 degrees north latitude and 81 degrees south latitude. Landsat satellites ground coverage pattern (Figure 7), has been designed in such a manner that there is 14% sidelap at the equator, which increases to 50% sidelap at 50 degrees north or south. Side lap percentage reaches as much as 85% at 80 degrees north or south latitudes. Nearness of adjacent Landsat orbits (159 Km at the equator crossings), in comparison with relatively wide area coverage for MSS detector(s) is the cause of sidelapping phenomena in Landsat coverage. This has been illustrated in figures 7, and 8, and also in table 4. The width of scan pattern for MSS detector (s) coverage is 38 LANDSAT Ground Coverage Pattern ORBIT N + 1, DAY M + 1 ORBIT N + 1, DAY M ORBIT N, DAY M +1 cs-ORBIT N, DAY M NOTE: ORBIT N, DAY M + 1 OCCURS 14 REVOLUTIONS AFTER ORBIT N, DAY M EQUATOR - (98.82 mi. 159 km.) Figure 7. Adapted from NASA (1976) , 39 Ground Scan Pattern for a single MSS Detector SPACECRAFT LINE 2* VELOCITY VECTOR 185km,) (115mi WIDTH TOTAL AREA SCAN FOR ANY BAND FORMED BY REPEATED 6 LINE PER BAND 4+ 5- SWEEPS 6+ PER ACTIVE MIRROR CYCLE LINE 1 -0* 2* COMPOSITE 11. rm.+. LINE 4+ 6* Figure 8. Adapted from NASA (1976). 40 Landsat 1 and 2 Orbital Parameters (September 1976) Parameter Semi-major axis (km) Inclination (degrees) Revolution period (minutes) Landsat 1 Landsat 2 7285.438 7285.730 98.906 99.015 103.143 103.149 Eccentricity 0.001070 0.001392 Time of descending node (equatorial crossing) 8:50 AM 9:20 AN Duration of complete cycle 18 days (251 revs.) 18 days (251 revs.) Distance between adjacent ground tracks at equator(km) 159 159 Nominal altitude (km) 920.00 920.00 Table 4. Adopted from Landsat Data Users Handbook$ NASA (1976) 41 185 Km (approximately 115 mi.), while the distance between the centerlines of two adjacent subsatellite ground coverage-tracks is 159 kilometers (about 99 mi. ). In order to facilitate comparison of the Landsat images from a given area, collected during repetitive coverage cycles, Landsat orbits have been designed in such a manner that Landsat sensor systems survey the same area every 18 days. This procedure also applied to Landsat picture taking sequences, so that, with precise scheduling, the centers of images taken every 18 days correspond to the same area on the ground. This has been possible by referencing all payload operation to the equator (see Figure 9). As seen in Figure 9, when an image of Region A is obtained, it will consist of two consecutive frames, formatted 25 seconds apart from each other, covering all the earth strip which is possible to cover during that orbit. The Landsat orbit has been so calibrated that no more than 37 kilometers of cross-track picture-center variation will occur during the mission life. In-track scheduling on the other hand, assures that no more than 30 kilometers in-track picture-center variation will occur (NASA, 1976). Every Landsat satellite carries two sensor systems onboard, each with different operational characteristics and surveillance purposes. One sensor system is a Return Beam Vidicon camera (RBV), and the other is a Multispectral Scanner system (MSS). 42 LANDSAT Tracking Scheme Frame shot within ±2 seconds on equator, other frames spaced at 25 seconds 4(115mi.-18 5km.) In-Track Picture Scheduling. Figure 9. Adapted from NASA (1976). 43 Because of the importance of the IVIultispectral Scanner System to this research it is described in the following discussion. 44 Multispectral Scanner System (MSS) Mounted onboard each Landsat satellite is a sensor system which produces continuous strip images of the earth's surface within the ranges of visual and near infrared wavelengths of the electromagnetic spectrum. This sensor system known as a Multispectral Scanner (MSS) is capable of detecting the spectral responses from 0.5 to 1.1 micrometers. MSS detection wavelengths coincide with that of reflected solar radiation from the earth's surface extending through the visual and to a portion of the reflected solar infrared spectral region; i.e., from 0.5 to 0.7 and from 0.7 to 1.1 micrometers respectively. By installation of a thermal infrared sensor onboard Landsat 3, MSS detectabilitY in infrared region was further extended from 10.4 to 12.6 micrometers. Unfortunately, this thermal infrared sensor installed on Landsat 3 failed to operate properly since the time the satellite was launched on March 5, 1978; this thermal infrared band finally ceased operation in the late spring of 1978. Except for the thermal band of Landsat 3, which was planned to operate with two detectors, each of the 4 bands of Landsat MSS satellites operates with 6 detectors. For this reason Landsat 1, and 2 have 24 detectors onboard for MSS bands 4 through 7 (4 x 6) (Figure 10). The MSS detector system on Landsat satellites has been 45 Schematic Diagram of the LANDSAT MSS Scanning Arrangement OPTICS SCANNER SCAN MIRROR (OSCILLATES DETECTORS PER SAND: NOMINALLY 2.1114 24 TOTAL, .2 FOR SANO I NOTE: ACTIVE SCAN IS FIELD OF VIEW WEST TO EAST 11.54 DEGREES 1115.2 boy (104 nmi / NORTH WEST LIM/SCAN/RANO EAST PATH OF SPACECRAFT TRAVEL SOUTH Figure 10. Adapted from Landsat Data Users Handbook, NASA (1976). 46 designed and calibrated so that their nominal instantaneous field of view (IFOV) or a pixel, of each detector is 79 x 79 meters (259 feet), for MSS bands 4 through 7. Landsat Ground Scene A Landsat ground scene composed of Landsat MSS data covers 185 x 185 Km (115 miles square) on the ground, representing reflected radiation values from surface and cover types. The Landsat orbit with its near-polar track produces the along-track spacing between swaths. This along-track motion of the Landsat together with active and retrace mirror scan provides the complete coverage of the Landsat ground scene. The scene includes 2340 parallel scan lines, each of which contains 3000 to 3450 pixels or bytes* (Figure 11). These bytes are arranged in such a manner that they represent differing radiance levels from surface and cover types. The variation in the number of bytes (pixel information) along a scan line is due to the fact that there are variations in spacecraft altitude. At the nominal altitude of the spacecraft at 918.592 Km (about 571miles), the distance covered by a scan line is 185 Km (115rniles)long (Thomas, 1975). Ignoring mirror scan non-linearities or other perturbations of mirror velocity, a 185 kilometer scan line will produce approximately 3300 video * A byte is made up of eight binary "bits", which are the smallest units recognizable by the computer systems. 47 LANDSAT MSS System 3000 to 3450 Pixels Direction of Spacecraft 2340 111 Scan Lines Scan Lines (115 mi.-185 km.) Figure 11. Adapted from Thomas (1975). 48 images or pixels (185:0.056 = 3304). The reasoning behind this is briefly discussed below: It was previously noted that the nominal instantaneous field of view (IFOV), for Landsat MSS detectors is 79 x 79 meters. It was also mentioned that, there are 25 detectors or channels (24 detectors plus one sensor for thermal band data) onboard Landsat 1 and 2, these detectors operate sequentially. It should be noted that the time required for a single detector or channel to acquire video image from the scanned ground features is 0.3983 microsecond, and so for 25 channels the required time equals 9.958 microseconds (25 x 0.3983). During this period of time the reflectance characteristics of the sampled ground area (79 x 79 meters) is recorded by the various detectors of the MSS sensors. However, during 9.958 microseconds time span, the 79 x 79 meter video image moves only 55.99 meters of about 56 meters (184 feet) in cross-track direction. For this reason, when the next video image or pixel information is being acquired, it would consist of 23 meters (about 75 feet), repetitive information or previously acquired data and only 56 meters (184 feet) of new information. This 56 x 79 meters area is termed the "effective" IFOV of a detector in the cross-track (scan line) direction (NASA, 1976). Using "effective" IFOV values for pixel size (56 x 79 meter s) will eliminate the overlap factor between adjacent pixels. According to some investigators "effective" IFOV has been suggested to be 57 x 49 79 meters rather than 56 x 79 meters (Sabins, 1978). Change in Pixel Integration Caused by Scanning Mirror Velocity Variations in scanning mirror velocity cause pixel distance center variations from each other. Such variations are due to speeding up and slowing down of the scanning mirror. Thomas (1975) suggests that mirror velocity versus time is not constant but it is very nearly a cosine curve during the active mirror scan (Figure 12). Although it is negligible for most practical purposes, variation in mirror velocity is responsible for the variations in the amount of pixel overlap. For the purpose of illustration, exaggerated integration and variable overlapping of pixels corresponding to a variable mirror velocity are presented in Figure 13. Variable mirror velocity also causes the ground distance covered by a pixel to vary considerably. The relationship between constant mirror velocity and variable mirror velocity with regard to the distance covered on the ground and the time of the mirror sweep is depicted in Figure 14. The curved line represents actual variable mirror velocity versus the distance covered on the ground. The straight line portrays the same factors for a constant mirror velocity. The difference between two lines indicates necessary corrections to be made on computer compatible tapes so that they reflect accurate distances covered on 50 Comparison of the Constant Mirror Velocity and the Variable Mirror Velocity of LANDSAT IDEAL MIRROR ACTUAL MIRROR VELOCITY J 1*--(115mi.-185km.)--01 MIRROR START-UP MIRROR STOP NOTE: NOT DRAWN TO SCALE Figure 12. Adapted from Thomas (1975). 51 Integration and Variable Overlapping of Pixels Corresponding to a Variable Mirror Velocity 11(01010III11101111:411Eltiltilittellin PIXELS NOTE: I. Pixels ore represented by circles for ease of illustration 2. Not drown to scale. Figure 13. Adapted from Thomas (1975). 52 Comparison of Distance Covered on the Ground for a Constant Mirror Velocity and a Variable Mirror Velocity X (115m1-185km) CONSTANT VELOCITY GROUND SCAN VARIABLE VELOCITY GROUND SCAN SWEEP TIME NOTE: I. X = THE EASTERLY SCAN OF THE GROUND 2. NOT DRAWN TO SCALE Figure 14. Adapted from Thomas (1975). 53 the ground. Variation in the distance covered on the ground caused by variable mirror velocity along the cross-track direction is not systematic. Studies have indicated that ground registration error due to variable mirror velocity equals zero at mirror sweep start-up, at 92.5 Km (half way of digital scan line), and at mirror stop (at 185 Km). There are two maximum distance errors in every mirror scan, one approximately at 46.25 Km (28.5 miles) after the mirror sweep start-up point, and the other at three quarters of the digital scan line or about 138.75 Km (86. 25 miles) from its start-up point. At these two points accumulative ground distance errors reach about 400 meters (about 1312 feet). (See Figure 15.) Thus, for example, it should be understood that ,the distance represented at the quarter point of a digital scan line does not cover 46.25 Km (28.5 miles) on the ground, but it represents approximately 400 meters (1312 feet) less than that amount or about 45.85 Km (approximately 28.25 miles) as depicted on Figure 15. As it was mentioned earlier in this chapter, MSS detectors operate sequentially during active mirror scan which is from west to east (Figure 8). During east to west retrace period of the scanning mirror the radiance from the earth scene beneath the spacecraft is 54 Ground Registration Error Due to Variable Mirror Velocity BEST AVAILABLE MIRROR VELOCITY PROFILE (1656.8ft. +505m.) (1108.9 ft. +338m. (554.46ft. +169m.) (554.46ft. C*4 -169m. ) N (1108.9ft. - 338m.) (1656.8ft. -505m.) Figure 15. Mirror velocity profile for the active MSS mirror scan. (1975). Adapted from Thomas 55 blanked out by mechanical shutter. Through every other mirror retrace period, MSS detectors of bands 4 through 7 are exposed to a rotating variable wedge optical filter illuminated by an onboard calibration lamp. The alternate mirror-retrace period was saved for thermal sensors of band 8 detectors to be exposed to temperature references in order to secure calibration of band 8. Calibrated data produced. in this manner are utilized to perform radiometric correction to the MSS detector signals (NASA, 1976). MSS data are then telemetered to one of the three prime ground stations* in the United States, where they are reprocessed and recorded on magnetic tapes. Physical characteristics of MSS CCTs are describedin the following paragraphs. Landsat MSS Computer Compatible Tapes Computer Compatible Tapes (CCT) are standard one-half inch polyester base magnetic tapes. Landsat CCT's are available in different formats; nine-track or seven-track and with 800 or 1600 bpi (bits per inch). For Landsat MSS data to be recorded on CCT' s, it is necessary to apply radiometric calibration procedures to them. Radiometric Calibration * MSS data receiving stations are located at 1) Goldstone, California, 2) NASA Test and Training Facility (NTTF) at GSFC, Maryland, and 3) Fairbanks, Alaska. 56 Landsat MSS video data are acquired at a real-time rate and recorded on a multi-track recorder called Ampex FR928. The MSS video data are first entered into a system (DPPS) where data are recorded on a high-density tape (HDT) (NASA, 1976; Hilkenbrink, Information on HDT then provides input to the digital subsy-stem 1978). (DS). At this point, data are either in a compressed (linear) mode, or in a decompressed (non-linear) tape mode. As a result, values of video data vary from 0 to 63 or from 0 to 127 for compressed and decompressed mode respectively. In the decompressed mode, gains and offsets are used to determine the calibrated values of video data. By having the values for gains and offsets in addition to the values of calibrated video data, the user of CCT' s may reverse the process from one type of tape mode to the other. After the final decision is made with regard to the preferred tape mode, data are entered into the DS, are reformatted, calibrated, and finally a computer compatible tape is generated (Thomas, 1975). Computer Compatible Tape Format Landsat MSS CCT contains four groups of records: a) ID record which includes scene and frame ID, data, time passed since launch, sequential bands, and Landsat number (1, 2, or 57 3 b) Annotation Data Block; a data block which is normally specified at the time of RBV exposure or at the center of MSS scene (frame). This information is in human readable format, and allows user interpretation. c) Video Data Recoid; which includes information from all four MSS bands. In order to obtain a video data record, data from all four spectral bands are combined in a process called interleaving. Through this operation two bytes of data from each spectral band are interleaved to produce an eight-byte "group". This group is the small- est unit in interleaved data, and represents the combined video value for the same two points on the ground. Figure 16 depicts the schematic presentation of the interleaving process of the four bands for video data of Landsat MSS bands. d) Special Image Annotation Tape Data File (SIAT). This data file consists of seven files including: SLAT logical tape header, Processing Information Data, Spacecraft and Sensor Performance Data, Annotation Block Data file, RBV Computational Data, MSS Computational Data, and Image Location Data (Thomas, 1975). Considering the scope of this study, it is believed that the foregoing brief discussion on the subject of CCT's has made basic information available for the reader. It is suggested that for mor e information, interested readers refer to a detailed publication on the 58 Interleaving of LANDSAT Data Gm k (8-8YTE "GROUP") 41.1 2m1 2m 2m-1 BAND 4 2m 2m-1 BAND 5 ( X XXX X X 0OXX 000 2m 2m1 BAND 6 2m BAND 7 NOTES: 0 XX REGISTRATION FILL CHARACTER = VIDEO DATA BYTE - "SCAN LINE" INDEX. THERE ARE m = "GROUP" INDEX 2340 SCAN LINES IN EACH STRIP XX0000001 XX XXXX0000 LIBAND 7 XX A 0000 0 0 X k =Bs A XXXXXX0012AND 6 XX XX XX X X BAND BAND 4 lb 0 4, wAIISTSIPAT JP BYTE ADVANCE 185 X 185 KM MSS SCENE ()) BAND 7 SCAN N LINE ADVANCE a. a. cc tic BAND 6 es. iA n BANDS SPACECRAFT HEADING BAND 4 (k) / \N +f OUR CCT FORMAT 4-TWO CCT FORMAT MERGED CCT 1 & 2 Figure 16. MERGED CCT 3& 4 Adapted from Thomas (1975). 59 subject by Valerie L. Thomas (1975), and Landsat Data Users Handbook, by NASA (1976). 60 Chapter Summary In the first section of this chapter, reconnaissance and operational characteristics of NASA Landsat satellites have been described. Physical characteristics of Landsat MSS computer compatible tapes and their generating procedure have been briefly examined in the second section of the chapter. At this point it is necessary to consider some of the major problems which users encounter in Landsat MSS data classification procedures. Therefore, the forthcoming chapter is devoted to MSS digital data classification limitations and pixel problems. 61 CHAPTER 4. LANDSAT CLASSIFICATION LIMITATIONS AND PIXEL PROBLEMS Electromagnetic Radiation Electromagnetic radiation is the source of energy essential for generation of remotely sensed data. The wavelengths of the electromagnetic spectrum range from long (more than 100 Km) with very low frequency waves to very short (less than 0.01 Angstrom) with extremely high frequency waves. Only a small portion of the electromag- netic spectrum is within visible range (from 0.4 to 0.7 micrometers) where solar radiation is perceived as visible light waves. The sun, the main source of radiant energy, radiates electromagnetic energy at all wavelengths of the electromagnetic spectrum. This energy travels at the speed of light (300, 000 Km/sec). When radiant energy from the sun strikes an object, one or more of the following interactions may result. The radiant energy may be reflected, absorbed, transmitted, or re-emitted. In remote sensing of the environment by Landsat satellites 1 and 2 only reflected energy is involved. The amount of reflected energy from any given object depends upon the reflectivity of that object. Spectral Reflectance Different surface and cover types have varying spectral reflectivity. 62 In forested regions, five basic criteria affect reflectivity: 1) surface cover type, 2) tree crown size, 3) tree crown density, 4) slope angle, 5) slope aspect. Variations in spectral reflectances of various surface cover types occur not only in accordance with their physical or reflec- tive characteristics, but those variations also are due to the angle of incident energy, wavelength of reflectance, angle of viewing (in the case of Landsat remote sensing, and location of the satellite). Studies by Coulson et al. (1969), have indicated that there is a strong control on the factors mentioned above by the intensity and degree of polari- zation of the reflected radiation. As a general rule, brighter surface cover types reflect higher percentages of incident energy. As an example, among minerals, quartz, a very bright mineral, reflects 93% of the incident energy on the average, while biotite, being the darkest mineral reflects only 7% of the incident energy (Table 5; Janza, 1975). Table 5 depicts reflectance characteristics of selected minerals and desert vegetation. Reflectance values of minerals in Table 5 is given in visible range of electromagnetic spectrum. Minerals presented in Table 5 show pronounced differences in reflectivity within different regions of the visible spectrum. Although, during short seasonal periods (a week or two) reflectance character- istics of surface materials do not vary and therefore Landsat data acquired within short periods of time should be acceptable, the Landsat data user should consider the stability of important target 63 Reflectance Of Selected Minerals And Desert Vegetations Reflectance % Spectral Regions Wavelength 0.51 - 0.59 0,61 - 0.69 Substance 0,43 -0.49 MicroCline 61.4 71.7 80.7 Garnet 11.0 18.3 30.3 Epidote 18.6 34.7 36.5 Meadow Chesnut Soil* 8.5 11.7 13.6 Crested Wheat Grass* 3.9 '5.8 7.5 Biotite 7.4 7.4 7.4 12,4 15.8 19.0 7.0 10.0 12.4 92.9 93.0 93.5 Meadow Chesnut Soil** Salt-tolerating Couch Grass** Quartz * Over fresh ground water ** Over saline ground water Table 5. Adopted from Janza (1975) 64 aspects such as plant phenology, soil moisture, and water turbidity (Dana, 1975). Variations in reflectivity of surface cover within spectral bands such as those shown in Table 5, aid remote sensing specialists in the interpretation surface cover types from Landsat MSS data. In other words, the Landsat MSS system separates the detected portion of electromagnetic spectrum into a number of different bands so that a unique signature may be obtained for different surface and cover types. Nevertheless, reflectivity values of some earth materials in different spectral ranges have the same or very close values (see Table 5 for quartz and biotite). Within the range of the electromagnetic spectrum detectable by MSS scanning systems at the present time, three kinds of vegetational information can be obtained from MSS data: 1) variation in pigment- ation, which can be detect ed in visible bands 4 through 7, 2) structural differences in spongy mesophyll of vegetation which are indirectly detectable in near-infrared regions (0. 8 - 1.0 micrometers), and 3) moisture stress which is best observed in far solar reflected infrared regions between 1.6 and 2.6 microns (Stanley, 1974). Atmospheric Attenuation of Solar Radiation In general, atmospheric effects upon solar radiation include fixed and variable attenuation factors. The fixed effects are due to 65 molecular absorption, while variable effects are caused by local weather conditions. Due to vertical components of the atmospheric gaseous envelope, attenuation is greatest at low-elevation solar angle, where solar radiation has to traverse longer and denser path in the atmosphere before it reaches the earth's surface. Oppositely, at high-elevation solar angles, radiation is less attenuated due to shorter traverse through denser atmosphere (Beckman, 1975). With regard to atmospheric effect, the electromagnetic spectrum can be divided into three spectral bands. 1. Visible and near visible band with wavelengths from 0.29- O. 75 micrometer. This band is influenced very strongly by scatter- ing processes of the atmosphere. 2. Near-infrared band which extends from 0.75-22 micrometers. Scattering and absorption processes are still significant in this band. 3. Microwave infrared band: this band extends from 0.1 cm. to 30 meter wavelengths. Scattering or absorption processes are absent in this band (Fraser, 1969). This is due to the fact that in microwave region cloud particles and water droplets are very small in comparison to dimensional wavelength (Janza, 1975). 66 Landsat MSS data are acquired within the 0.5-1.1 micrometer range of electromagnetic spectrum. This wavelength range includes part of visible spectrum (0. 5 -0.7 micrometer) and a portion of near- infrared region (0.7-1.1 micrometers). Asa result all of the spectral range detectable by Landsat MSS system is affected by scattering and absorption processes of the atmosphere. Atmospheric Scattering and Absorption Atmospheric effects on radiated and reflected energy are the results of various complex interactions. They consist of scatter and absorption processes of electromagnetic radiation by atmospheric particles. These particles vary in size and type from gas molecules, to aerosols and vapor, up to water droplets (Lillesand and Stevense, 1974). Scattering has serious effects on the quality of Landsat MSS data. By scattering incoming radiant energy in unpredictable dir- ections, atmospheric particles reduce the intensity of solar radiation reaching earth's surface and cover types. Reflected energy from the earth's surface and cover types on its way to Landsat sensors, encounters various atmospheric gasses or water molecules. As a result atmospheric scattering affects present a serious problem with regard to the accuracy of remotely sensed MSS data. Atmospheric dust particles and water molecules scatter solar b7 radiation through four types of scatter: Rayleigh Scatter, Mie Scatter, Non-Selective Scatter and Raman Scatter, although the latter is less important than the others. As well as being scattered, solar radiation is absorbed by the atmosphere. Radiant energy in a specific wavelength absorbed by atmospheric particles or water molecules, is re-emitted in longer wavelengths (Nunnally, 1973). As a result, the amount of energy reaching the earth's surface in that particular wavelength is somewhat smaller than the actual amount of radiant energy in that specific wavelength. This in turn will result in smaller values of reflected energy from earth's surface, cover detected by Landsat MSS bands. Summarizing: atmospheric interaction and attenuation processes affect the values of Landsat MSS data in two ways: by alteration of incoming solar radiation and by reducing the amount of outgoing reflected energy from various earth's surface and cover types. Furthermore, atmospheric attenuation processes result in reflected energy from atmospheric particles. If such reflected energy is in the same wavelength as MSS detector, and within appropriate direction with respect to the Landsat sensor, it will be in addition to the amount of reflected energy from the cover type below. Such reflection detected by Landsat MSS system will present the cover type as much brighter than its actual reflectance characteristics and 68 can result in misinterpretation and misclassification of Landsat data. As it was mentioned earlier, atmospheric scattering and absorption processes occur only in shorter wavelengths. Therefore, Landsat MSS data acquired in band 7 (0. 8-1. 1 micrometer) is relatively free of atmospheric attenuation (Fraser, 1969 and Sabins, 1978). Atmospheric Correction Atmospheric scattering effect is detected and corrected in two ways: one is a process in which an area within Landsat image which has shadowed area caused by irregular topography is selected, and its band 4 digital values for each pixel is plotted against digital values of band 7 for the same pixels. Using a least square technique a straight line is fitted through the plot (Figure 17-A). If there was no scattering (haze) effect in band 4, the fitted line would pass through origin, and the line would be offset in the band 4 axis. If haze effect was present, its amount would have an additive effect on scene brightness and hence the line would be even more offset. By determining this additive effect, its value is subtracted from digital values of band 4 throughout the Landsat scene. The same technique is also applied to bands 5 and 6. The second correction technique is accomplished by passing the MSS data through computer and generating histograms for digital values of bands 7 and 4. As presented in the Figure 17-B, that histogram of band 4 lacks zero 69 Atmospheric Correction Methods On LANDSAT MSS Bands DIGITAL NUMBERS FOR BAND 4 A. PLOT OF BAND 7 VERSUS BAND 4 FOR AN AREA WITHIN THE IMAGE THAT HAS SHADOWS. OFFSET OF THE LINE OF LEAST-SQUARES FIT ALONG THE BAND 4 AXIS IS ATTRIBUTED TO ATMOSPHERIC SCATTERING IN THAT BAND. BAND 7 BAND 4 i ON SHIFT ATTRIBUTED TO HAZE 0 B. VIGITAL NUMBER DIGITAL NUMBER 255 HISTOGRAMS FOR BANDS 7 AND 4. THE LACK OF LOW DNS ON BAND 4 IS CAUSED BY ILLUMINATION FROM LIGHT SCATTERED BY THE ATMOSPHERE (HAZE). Figure 17. Adapted from Sabins (1978). 70 values. This histogram also shows that because of additive atmos- pheric (haze) scattering effect its peak is offset toward higher digital values. The other feature of the band 4 histogram in Figure 17-B is its abrupt increase in pixel frequency on the left side of the histogram. Sabins (1978) suggests that this abrupt change is caused by illumination from light scattered by atmospheric particles. To correct MSS data in band 4 this abrupt-increase value is subtracted from the entire data sample of band 4. The same technique is then applied to MSS data in bands 5 and 6. A problem may arise with this correction technique. If the Landsat scene lacks steep terrain no pixels in band 7 could exist with zero values (Sabins, 1978). 71 Pixel Problems The Landsat photoelectric MSS detector system has been designed in such a manner that in any one instant it surveys very small area on the ground. This photoelectric sensor system then rotates and surveys another small area (79 x 79 meters or a pixel area) at each successive instant on the ground (Grabau, 1976). This is illustrated in Figure 18. The component of a Landsat scene was briefly described in chapter 3. It was also mentioned that a scan line is a composition of 3000-3450 successive pixels, and that a Landsat scene constitutes 2340 scan lines. Commonly, an area scanned by a Landsat spacecraft comprises a mixture of various surface and cover types or classes (Figure 18). Many of these classes are sometimes too small compared to the resolution of Landsat MSS system (pixel). Furthermore, in case of larger homogenous surface cover types, areas such as large water bodies, dense forest, ... the natural region is not likely to be divisible into a number of 79 x 79 meters (1. 118 acres) pixel areas. As has been depicted in Figure 18, although the cover types are larger than individual pixels, there are still boundary pixels (pixels designated A, B, and C in the upper right corner diagram in Figure 18) which do not represent reflectance characteristics of any one surface cover type in the scanned area. For this reason some pixel signatures acquired by Landsat MSS system represent surface 72 Concept of an Airborn Scanner (A,B,C)=BOUNDARY PIXELS REFLECTANCE VALUES ROTATION PHOTOELECTRIC B A SENSOR I I TIME = DISTANCE --4" RESIDUAL STAND aK. BARE SOIL REGENERATION I DIRECTION OF SCAN PIXEL Figure 18. Adapted from Grabau (1976). 73 characteristics of two or more non-homogeneous contiguous elements. Even within a single surface or cover type or class there may be spectral differences arising from pixel size variations (described in chapter 3). Attempts have been made to compile ground control maps with regard to mixture pixel spectral reflectances by on-site measurements of boundary pixel reflectance values from differing contiguous cover type boundaries. These studies aimed to provide a key map in order to classify Landsat MSS data in accordance with on-site (ground truth) data. The findings of these studies also suggest that mixture (or boundary) pixels' spectral reflectances do not represent any character- istics of the component classes of the terrain surveyed on-site or scanned by the Landsat scanner (Smedes et al., 1975). Such studies also indicated that using on- site reflectance measurement information of boundary pixels will increase the quality of information extracted through conventional data analysis. However, due to the difficulties in estimating mixture proportions of boundary pixels from "ground truth" data, such studies fail to analyze the accuracy of this method quantitatively. One of the most serious problems in MSS data interpretation is due to the characteristics of pixel arrays. Pixel array characteristics alter the apparent nature, position, and shape of the boundaries of different surface cover types. Figure 19 illustrates this phenomenon. Each square in this figure represents a pixel area. The top section of 74 Loss of Boundary Resolution and Position PIXEL NUMBERS 5 6 7 10 8 12 2 'TRUE' 3 REFLECTANCE VALUES 4 5 7 1-BOUNDARIES BETWEEN AREAS OF UNIFORM RADIANCE VALUES PIXELS 2 2 3 4 5 6 8 3 4 5 6 7 8 9 0.2 0.2 0.2 0.2 0.6 0.6 0 0.2 02 0.6 0.6 0.6 0.2 0.2 0.6 0.6 0.6 0.2 0.2 0.6 0.6 0.6 0.6 0.2 0.2 0.6 0.6 0.6 0.6 0.2 0.2 0.6 0.6 0.6 0.6 0.2 0.2 0.6 0.6 0.6 0.6 0.6 0.2 0.2 0.6 0.6 0.6 1 3 0.6 Figure 19. 0.2 10 11 12 0.10 .2 0.2 0.2 E. 0.2 0.6 0.2 .2 Adapted from Grabau (1976). 75 Figure 19 shows areas of example uniform reflective values, and the bot- tom figure represents reflective values of the same areas as calculated for every pixel. Close attention to Figure 19 reveals that values of the pixels located at the boundaries of two non-homogeneous classes do not represent any of the component cover types. Furthermore, it is indicated that the boundaries between two large classes have not been delineated sharply but the transitions have been gradational. As a result the boundaries have lost their original locations, so that it would be impossible to locate their original locations from digital values represented in the bottom section of Figure 19. In this regard one other study has been conducted by Smedes, et al. (1975). Figure 20 illustrates spectral reflectance values of two different surface cover types. Extracted from Landsat digital data, "A" represents grassland class, "B" represents reflectance curve for a dense forest type, and "C" is a 50-50 mixture of two classes. Curve "C" in Figure 20 illustrates the mathematical means of spectral reflectance values of two classes "A", and "B". However, spectral response for mixture (boundary), class "C" is quite uncharacteristic of either two classes "A" or "B". Nevertheless, its curve falls between its two component curves. Shape and size changes of surface and cover types are still other important phenomena in misclassification of Landsat MSS data, as illustrated in Figure 21. For convenience, two relatively large 76 Spectral Reflectance of Two Pixel Component Surface Cover Types 54. I 42. . 30. 18. 4 7 5 MSS BAND Figure 20: "C" is the mixture of surface cover types "A" and "B." By obtaining the reflectance of At and/or "B," "C" is not necessarily obtained. Adapted from Smedes, et al. (1975) 77 Shape and Size Changes of Surface Cover Types 'TRUE' AREA = 38.5 UNITS (1 PIXEL = 1 UNIT OF AREA a. MAP OF SURFACE COVER TYPE 4 1 6 9 10 12 7 8 0.26 0.59 0,60 0.60 0.60 0.60 0.57 0.60 0,60 0.50 0.60 0.60 0.59 0.43 0.47 0.60 11 0.60 0.60 0.60 0.60 0.60 1 0.26 2 0.60 0.34 0.43 0.60 0.57 3 0.60 0.18 0.50 0.60 4 0.60 0.24 0.60 5 0.60 0.53 0.60 6 0.60 0.60 7 0.60 0.21 8 0.60 0,56 1 0.31 0.30 0.60 0.29 0.47 0.48 0.59 0.60 0.80 0.60 0,46 0.22 0.43 0.60 0.60 0.60 0.60 0.60 0.60 0.60 0.60 E7771 = CLASSIFIED SURFACE COVER TYPE = 28 UNITS (RADIANCE 1 0.15) b. PIXEL CHARACTERIZATION OF SURFACE COVER TYPE USING REFLECTANCE VALUE CUTOFF VALUE CF 0.15 ('TIGHT STATISTICS') Figure 21. Adapted from Grabau (1976), 78 homogeneous areas of water and land have been chosen in this figure. With spectral reflectance values of 0.02 for water, and 0.6 for the land, an attempt has been made to separate those two cover types. By setting density slicing or reflectance cutoff value at 0.15, we assume every pixel with reflectance value of 0.15 or less will be classified as water, and that all pixels higher than 0.15 should be classified as land area. Although it seems reasonable that such an arrangement will result in accurate separation of those two cover type classes, in practice the outcome is not so promising. Figure 21-B shows the reflectance values of two classes of water and land arrayed in the same manner as in Figure 21-A. As it has been presented in Figure 21-B, the lake area includes only 28 units (pixels) versus its original (true) 38.5 units (pixels) land coverage as shown in Figure 21-A. As a result, such a classification procedure not only has reduced the size of the lake substantially (from 38.5 to 28 or more than a quarter), but it has also changed the shape of the lake. By increasing the cutoff or threshold value of water cover type to 0.30 in this example, it is possible to increase water cover type class depicted in Figure 21-B by 10 units (pixels) or almost equal to its true size in Figure 21-A. However, the shape change of the lake will remain a problem regardless of what cutoff value is applied. Further- more, if there were another class with spectral reflectance value of 0.25 in the same area, a raise in threshold or cutoff value from 79 0.15 to 0.30 would be practically impossible since it would have classified this third class also as water area (Grabau, 1967). This in turn raises the problem called "over estimation" in MSS data classification. In our example it would have indicated "over estimation" of the lake area. Ground control (or "ground truth") is a tool which assists in the improvement of such classification. Finally, it should be noted that interpretation of Landsat imagery made up with arrays of pixels and scan lines has to be conducted with special care, patience, and full understanding of the mechanisms of the processes involved in generation of those imageries so that misinterpretation and spurious classification is avoided. so Chapter Summary This chapter included three related topics, which were treated in the following manner: 1. Characteristics of electromagnetic radiation was discussed in the first section of the chapter. Under this topic spectral reflectance peculiarities of several natural phenomena were studied. 2. Discussion of atmospheric effects on Landsat MSS data was included in the second section of the chapter. 3. Major pixel problems were briefly studied in the last section of the chapter. It was concluded that misclassifications in Landsat MSS data occur unless mechanisms and physical character- istics of the generation processes of Landsat imageries are fully under stood. The forthcoming chapter (Chapter 5), will discuss "Data Acquisition Techniques." The chapter will include field data acquisition strategy as related to fuel moisture content, and downed fuel inventory within Crater Lake National Park. 81 CHAPTER 5.. DIGITAL DATA ACQUISITION AND FIELD OBSERVATION STRATEGY This chapter focuses on the processes involved in the acquisition of various data which were utilized in this study. Acquired data included both: 1) digitized computer cornpatable tapes, and 2) conventional data acquired during field observation within Crater Lake National Park. Landsat MSS Data Acquisition As discussed in Chapter 3, onboard Landsat spacecraft are multi-spectral scanner (MSS) systems, which sense spectral reflect- ance characteristics of the scanned area on the earth's surface as video data. Video data then, after necessary processes in Landsat data receiving stations, are recorded on CCT's as digital data. Such data have been utilized in this study as a primary tool in classification and analysis of surface cover types within Crater Lake National Park. Landsat MSS data employed in this study were acquired by Landsat 2 during the Crater Lake National Park over-pass on September 10, 1974. These CCT's along with three other MSS digital tapes acquired through different seasons of the years 1973 and 1974 are owned by Dr. James F. Lahey of Dept. of Geography at Oregon State University. In the choice of selecting the September 10, 1974 82 CCT, aside from the fact that it has curtailed data acquisition cost, the following criteria have been considered: 1) This tape series were free of bad scan lines. 2) Data were acquired during high-elevation solar angle over the study area located at 42°N. latitude. 3) According to weather reports, September 10, 1974 was a cloud-free day over the Crater Lake National Park region. This cloud-free condition, together with high-elevation solar angle had reduced atmospheric attenuation effects on the acquired data. 4) During this time of the year (September 10, 1974), the ground is practically free of snow within this National Park. This condition facilitates the interpretation processes of reflectance characteristics of surface cover types within the Park and hence increases the accuracy of cover type classification. 83 Digital Terrain Data Topographic elements of a surface have powerful control over vegetation. Field observation within Crater Lake National Park indicated that variation in dominant forest types within the Park is a function of elevation (Chapter 2). For this reason, it was believed that accurate information on topographic characteristics of the study area would improve the quality of classification of digital Landsat MSS data of surface or cover types within this National Park. Digital Terrain Data Acquisition NCIC digital terrain data for this study were obtained from National Cartographic InforMation Center (NCIC), in Reston, VA. NCIC terrain data are recorded on multifile 9-track, 1600 bpi (bits per inch) tapes. These tapes are computer compatible magnetic tapes. Each tape covers about one half of a 1:250, 000 scale USGS topographic map and Crater Lake National Park occupies portions of four such topographic maps. For this reason NCIC terrain data tapes utilized in this research cover four contiguous one half portions of 1/250, 000 scale USGS topographic maps for the following geographic regions: a. East one half portion of Roseburg quadrangle b. West one half portion of Crescent quadrangle c. West one half portion of Klamath Falls quadrangle 84 d. East one half portion of Medford quadrangle NCIC terrain data contains digital information on elevation at about 208-foot horizontal intervals. NCIC digital terrain files are arranged in a horizontal grid system for a given area with successive grid points, as mentioned above, 208 feet (63 meters) apart, south to north (Y coordinate) and west to east (X coordinate). The values are given for the Southwest corners of the grid mesh rather than for the areas covered by 208 feet square. From these data the digital topographic maps, the digital slope and aspect maps were created. 85 Color Infrared Aerial Photography Infrared photography is acquired within two different bands of electromagnetic spectrum. Near infrared or shorter infrared band which expands from 0.51-0.9 micrometers. Near infrared photography can be imaged directly on photographic film. For this reason, the shorter or near infrared region of electromagnetic spectrum sometimes is called "photographic infrared". Color infrared aerial photography has shown to be advantageous over conventional color photography from two major points of view. The first is due to lesser atmospheric scattering characteristics, which is relatively high in visible spectral band and low in infrared wavelength of electromagnetic spectrum (also see Chapter 4). The second factor is that variable vegetation spectral reflectances, uniformly low in the visible portion of electromagnetic spectrum, sometimes sharply increases and is more variable from one vegetation species to another in the near infrared and infrared bandwidths of electromagnetic spectrum. Atmospheric scattering intensity and vegetation reflectance characteristics with regard to different spectral wavelengths have been presented by Figures 22-A and 22-B respectively. Normal color film is sensitive to blue, green and red portion of electromagnetic spectrum, while color infrared film is sensitive also to near infrared (0. 7 to 0.9 micrometers) spectrum of electromagnetic radiation. As a result, by using a yellow filter 86 Atmospheric Attenuation In Normal And Color IR Photography ATMOSPHERIC SCATTERING / --GTA5131 .f VEGETATION 8IRCII ------ REFLECTANCE .'FIR b EKTACHROME FILM SENSITIVITY 0 d INFRARED COLOR FILM SENSITIVITY *--TELIDIV FILTER CUTOFF \PEER SLUE 400 500 600 \ 600 700 900 WAVELENGTH, m,t.t. BLUE 1 GREEN 1 VISIBLE Figure 22. RED,..i INFRARED Adapted from Sabins (1973b). 87 (minus blue), color infrared film can eliminate reflected blue energy together with most of atmospheric scattering and hence enhance vegetation differences (Sabins, 1973b). Principal advantages of the sensitivity of color infrared film over the sensitivity of Ektachrome (normal color) film, have been depicted on Figures 22-C and 22-D. Color infrared film, when used with a yellow filter, will cause any object that reflects infrared energy to appear red on final photo- graphic reproduction, and objects that reflect red and green energy will appear green and blue respectively. For this reason color infrared film or photographs sometimes are also called "false color" film or "false color" infrared images (Estes, 1975). Acquisition of Color Infrared Photography Color infrared photographs utilized in this research were obtained from NASA/Ames Research Center, Moffett Field, California. These images were taken by a NASA U-2 High altitude aircraft from approximately 65, 000 feet over Crater Lake National Park on July 3, 1974 and on August 10, 1976. These photographs were acquired within wavelengths of 0.51-0.90 micrometers (NASA/ Ames, 1977). Our color IR photographs were in four different scales as follows: a) 1:122,000 (1 inch = 1.93 miles and 1 cm = 1. 22 km) b) 1:30,500 (1 inch = 0.48 mile and 1 cm = 0.304 km) 88 c) 1 :30, 000 (1 inch = 0.47 mile and 1 cm = 0.299 km) d) 1:7,400 (1 inch = 600 feet and 1 cm = 72.09 m), these photographs were enlargements of the 1:30,500 scale photographs. Color IR aerial photographs with a scale of 1 :30, 500 furnish partial coverage of the Park. These photographs combined with enlargements of 1 :122, 000 scale photographs to 1 :30, 000 scale provide complete coverage of Crater Lake National Park for the years of 1974 and 1976. Enlargements of the 1 :122, 000 scale photographs to 1 :30, 500 scale was done by the EROS Data Center at Sioux Falls, South Dakota. In locating either fuel moisture study sites (FMISI s) or downed fuel inventorying areas (DFSAT s) within the Park, all four different scales of U-2 color infrared photographs along with a U.S. Geological Survey's 1:62,500 scale topographic map of the Park were jointly manipulated. 89 Field Data Acquisition Techniques Field data acquisition for this study included two concurrent sets of field observations. One set of field observations was conducted to make an estimation of downed fuel moisture content during the summer months within Crater Lake National Park. The other set of field observations gave an evaluation of the biomass of downed fuel available for wild fires under the forested areas within Crater Lake National Park. Downed Fuels Available for Wildfires and Environmental Moistures Associated with These Downed Fuels Solar insolation is an important factor with regard to wild-fire generation within forested regions of the world. Insolation on surfaces exposed at right angle to the sun's radiation is about 5 BTU's per square foot per minute (British Columbia Forest Service, 1955). Some of this energy, of course, is returned from the exposed surface as reflected or emitted energy, while the rest of it is absorbed and conducted from the exposed surface. A portion of this energy warms up the immediate lower layer of the atmosphere. In forested regions some of the absorbed energy is used to dry out the top layers of the woody materials while the rest remains available to heat the forest vegetation. Since increased temperatures near the surface reduce relative humidity, dead fuel present in that environment 90 will undergo a similar situation, i. e. , it will tend to loose its moisture contents until it approaches a value called "Equilibrium Moisture Content". This depends on the average relative humidity and temper- ature to which fuel has been exposed over the past several hours (Schroeder and Buck, 1970). Moisture characteristics of different forest fuels vary significantly and such variations are dependent not only on fuel structural differences but also on the size of the fuel. As a general rule, forest fuels with larger diameters have longer timelags to reach equilibrium state with environmental moisture. (Fosberg, 1971). Canopy characteristics, their varying densities, the fraction of the sky covered by the cloud, the slope and aspect, wind direction and its speed, elevation and time of the year and the day all are variables which play important roles in modulating insolation effectiveness and thus the fuel-moisture component of the environment. With regard to environmental moisture estimate, all factors mentioned had to be considered and evaluated prior to field observation. Selection of Field Observation Areas for Downed and Dead Fuel Moisture Measurement, and Downed Fuel Inventorying Within Crater Lake National Park Sample Site Selection Strategy In July 1978, at the time this project was initiated, the primary 91 purpose was to utilize Landsat 3 MSS data for analysis of summer months moisture pattern over Crater Lake National Park. Landsat 3, along with its conventional MSS bands of 4, 5, 6, and 7 which operated in the reflected solar spectral region from 0.5 to 1.1 micrometers wavelength, carried a thermal infrared band, Band 8, onboard, which was to be capable of detecting environmental heating and cooling and hence moisture characteristics in scanned areas. Band 8 of Landsat 3 should have operated in the emitted infrared spectral region from 10.4 to 12.6 micrometers wavelength, which coincides with the atmospheric window. Its Band 8 ground resolution was approximately one-third that of the conventional four bands or about 9 acres (Design Specification of Landsat 3, Attachment A-NASA 1976). Therefore, for ground truthing of moisture patterns in our study area, with ground resolution as that of Landsat 3 Band 8, and also considering boundary pixel problems (discussed in Chapter 4), study sites, each with approximately 40 acres of homogeneous Landsat ground coverage, were needed. In an attempt to select for study, sample sites for moisture pattern analysis within dominant forest cover types Crater Lake National Park, alphanumerical values from a digital cover-type map of the Park were utilized (Stephen J. Walsh, 1977). The scale of these maps were approximately equal to that of the U.S. Geological Survey's topographic map for the same area (1/62, 500). Also utilized were the 1.1 acre 59 class map of Walsh. 92 Overlaying transparencies of the foregoing 1:62, 500 alphanumerical cover-type map on a USGS topographic map of Crater Lake National Park, intensive study sites were selected with needed 40 acre dimensions. At least six symbols arranged in three arrays and two columns were needed. Such an arrangement, overcoming boundary pixel problems, would yield at least one pure pixel sampled from environmental moisture in the scanned area. Through utilization of large scale U-2 aerial color infrared photographs of the Park, together with the alphanumerical map of the cover-type of the study area twenty-four "acceptable" moisture study areas were delineated within the National Park. Acceptable meant that areas be: 1) individually large enough to be sensed by Landsat 3 thermal band (36-40 acres), 2) to be accessable so that all could be checked in a short period of time during satellite overpass, 3) well scattered over the Park in order to represent an adequate sampling from different slopes and aspects, and 4) representative of at least one sampling site from every dominant species of different densities within the Park. Each one of the four factors mentioned above, proposed difficulties, and except in few cases it was difficult to fulfill the requirements of all proposed parameters. With infor- mation obtained from the alphanumerical map of the park, selected moisture study areas were transferred on a USGS topograph- ical map of Crater Lake National Park. In the field this map was 93 utilized along with color infrared aerial photographs to locate study sites and establish Fuel-Moisture Indicator Sticks (FMIS). This phase of the research (locating and establishing FMISs within the Park), took place during the period of late June through July 1978. During this period of time we established twenty-four 10-hour time-lag moisture indicator sticks on various locations of the Park (Figure 23). The time-lag principal has been shown to be very useful tool with regard to forest fire danger rating. Time-lag differences for various forest cover types may occur due to structural differences of fuel species or because of surface weathering, rot, exposure and other prevailing physical conditions (Lancaster, 1970). According to NASA officials, Landsat 3 had been scheduled to pass over the Crater Lake National Park region at about 9:45 A.M. (PST) on July 15, 1978 and at the same local time every subsequent 18th day (August 2nd, August 20th, ...). Moisture data from sample sites were to be collected starting August 2nd 1978, and on every subsequent satellite over-pass of the area during the summer months. As for the selection of downed fuel inventorying areas within the Park, a similar process as that followed for the fuel moisture detection sites was applied. However, in some restricted cases, the sites were located by on-site selection within the Park with regard to forest cover type homogeneity, and other characteristics. 95 Dead and Downed Fuel Moisture Content Measurement A practical way of estimating downed fuel moisture content among foresters is through determination of moisture content in Fuel-Moisture Indicator Sticks (FMIS). A set of FMIS consists of four one half an inch ponderosa pine sapwood dowels, each about 20 inches long, spaced 1/4 of an inch apart on two 3/16 inch dowels. The sets are carefully adjusted so that each weighs 100 grams when oven dry (Schroeder and Buck, 1970). In the field, the set is exposed approximately 10 inches above the litter layer or above the soil surface, on two wire brackets pointing toward true north (Figure 24-A). At the time of observation they are weighed by special scale and their moisture content obtained. In our fuel-moisture data acquisition case we used a Chisholm scale which is compact,with easy handling and operating advantages compared to other similar scales. It is a one piece scale with self supporting joints, therefore, unlike other scale types, there is less risk of losing small parts during field observation. Figure 24-B represents FMIS moisture measurements by a Chisholm scale. It was late July when it was learned that NASA space scientists had encountered problems with the thermal band (Band 8) of Landsat 3. This unofficial knowledge of Landsat 3 thermal band failure was received through a long distance telephone conversation between Dr. James F. Lahey. and Stanley Freden of Goddard Space Flight 96 Figure 24-A. Fuel Moisture Indicator Stick in the Field. Figure 24-B. Moisture Measurement of FMIS with Chisholm Scale. 97 Center. Disappointed with the fact of Landsat 3 malfunction on one hand but having all Fuel-Moisture Indicator Sticks installed over the Park on the other, it was decided nonetheless, to collect ground data. It is believed that such data availability for the first time will provide a source of a general fuel moisture pattern for scattered areas of Crater Lake National Park during this unusually wet summer season of 1978. As it was mentioned earlier, considering all possibilities, the 24 fuel moisture study sites were selected so that they would represent moisture pattern characteristics of the Park. The locations of FMIS sites were shown earlier in Figure 23. They were located along highways of the National Park as follows: a. North Entrance - 6 stations, b. West Entrance (highway 62) - 5 stations, c. Rim Drive - 3 stations, d. Pinnacles Road - 3 stations, e. South Entrance (highway 62 to Park Headquarters) - 7 stations. The following tabulations (Tables 6 through 9), are the summary descriptions of FMIS sites and their moisture data acquired during summer of 1978 within the Park. Raw data from FMIS presented in the tables have been computed with regard to the period of their 98 exposure on the field. This computation was made possible by using an appropriate National Fire Danger Rating System (NFDR), nomogram illustrated in Figure 25 (Deeming, Burgan, and Cohen, 1978). As depicted in Figure 25, for example, if a one-month old FMIS indicates 9. 5% moisture content, in actuality the moisture content should read 11.5%. Fuel Moisture Data Analysis Aside from solar insolation forest fire danger and fire spread depend to a large extent on fuel moisture. Fuel moisture in turn is a function of environmental moisture. In this study, evaluation of environmental moisture was accomplished by 10-hour time-lag FMISs. 10-hour time-lag moisture patterns of the National Park during the summer of 1978 have been graphically represented for locations within the Park as follows: a. FMISs stationed at North Entrance Road on Figure 26, b. FMISs stationed at Rim Drive and Pinnacles Road on Figure 27, c. FMIS s stationed at West Entrance Road on Figure 28, d. FMISs stationed at South Entrance Road on Figure 29. Figure 30 depicts comparative means of the variations in moisture patterns of the four different localities mentioned above. It should 99 NFDR 10-Hour Time lag Fuel Moisture Nomogram AGE OF STICK [Months] 50 45 40 35 30 25 20 15 10 40 30 35 4"OBSERVEDI FUEL STICK MOISTURE (%) 10 Figure 25. 15 20 25 45 50 Adapted from Deeming, Burgan, and Cohen (1978). 100 CLNP 10-Hour Time lag FMIS Moisture Content (North) FMIS Site No. 1 45. 2w. 3 -. 40. 4 35 6 30 25 20 15. 10. 5 Li" Cr) 00 - O. es CO, Date of Observation Figure 26 101 CLNP 10-Hour Time lag FMIS Moisture Content (Rim Dr. & Pinnacles Rd.) Date of Observation Figure 27 103 CLNP 10-Hour Time lag FMIS Moisture Content (South) FMIS Site No. 45 2 4 -3 40 35 6 30 7 E a) 25 0 2 20 Cl) 15 10 01 4u Coy Cf Date of Observation Figure 29 104 CLNP 10-Hour Time lag FMIS Moisture Content (Means) FMIS Sites at: Rim Drive & Pinnacles Rd. South Entrance Rd. 45 West Entrance Rd. 40 North Entrance Rd. 35 30 25 20 15 10 co N r C) 10> OS to N N Date Of Observation Figure 30 105 be noted that due to road conditions and difficulties in obtaining enough FMISs at one time, it was not possible to establish fuel sticks on Rim Drive and Pinnacles Road sooner than August 9, 1978. For this reason first period readings of these sites were made on August 15, 1978. An analysis of Figures 26 to 30 and Tables 6 through 9 reveal two readings of high FMIS moisture contents, and two readings of low FMIS moisture patterns. High moisture content readings were made on August 15, and September 12, 1978, and two low FMIS moisture readings were made on August 1, and August 29, 1978. It should be noted that special considerations had been made to make successive moisture measurements of each FMIS approximately at the same time of the day throughout the observation period; and for the most part the procedure was successful. Basic fluctuations in moisture pattern over the Park seem to be a function of precipitation. According to daily weather reports recorded at Crater Lake National Park Headquarters, local weather conditions have had effective control over FMIS moisture patterns within the Park. There is a close relationship between temperature and precipitation, which in turn control FMISs moisture patterns. Weather conditions of two days prior to and on the days during which fuel moisture observations were made within the National Park have been represented in Table 10. 106 Fuel Moisture Indicator Sticks (FMIS) stationed at North Entrance Road, Crater Lake National Park, Oregon WM Coordinates and Date of Location descripti- Settin g one of FMIS Sites 2 -4 41 1 2 72130 E.,4767858 N. (0.5 mile from Park boundary; 443 paces at 90 degrees North 6/23/78 671788 E., 4767346N, 6/23/78 (0.7 mile from Park boundary; 180 paces FMISs moisture content(percent), by date & time of the day i Covertype 8/1/1978 8/15/1978 Lodgepole 15:30 Pine very 9.00% poorly stoeked 10:30 Lodgepole 10:15 15:10 Pine dense.- 8/29/1978 9:00 11:30 9:15 23.00% 32.00% 19.50% 21.50% 11.00 %I 9/12/1978* 11:45 32.50% 18.50% ly stocked at 90 degrees NortM 3 572004 2.'4766138 N. 6/23/78 (1.4 miles from Park boundary; 138 paces at 87 degrees Nor- 14:55 10:00 Lodgepole Pine poorly 10.00% 21.00% stocked 9:40 Pumice Des. 14:40 9:55 12:05 27.00% 17.50% th.) 4 572047 2.,4764412 N.1 6/25/78 K2.2 miles from Parki boundary; 240 pacest at 87 degrees Nor 9:45 12:12 23.50% 17.00% 19.00% 8.00% ert tn..) 570756 E.14762185 N. (3.5 miles from Parki 5 'mumdary;, 85 cedes I 8/1/78** Lodgepole Pine poorly stocked ------ 12:25 10:15 10:45 26.50% 14.00% 18.00% at 230 degrees Nor th.) i ' 6 570000 E.,4759492 N. (5.5 miles from fm Parkl boundary; 382 paces at 110 degrrees No-! 6/23/78 Grass with 14:15 12:35 10:35 '11:00 19.00%i sparse Mod". 13.00%, 29.00561 stain Hemlock rth.) *Readings on September 12, 1978 were made after an intense cyclonic storm over the region which brought snow-fall to higher elevations of the Park, and caused freezing temperatures above 6000 feet. **Because of late setting of FMIS at site 5, first period reading was not registered for the site on =gust lat,1978. Table 6 107 Fuel Moisture Indicator Sticks (FMIS) stationed at West Entrance Road, Crater Lake National Park, Oregon 2 "t7') UTM Coordinates and Date of Location description Setting of FMIS Sites 560319 2.,4749433 N. (Just at West Boundary of the Park from the calvert; 70 paces at 220 degrees North.) 6/23/78 2 561721 E.,4748898 N. (1.0 mile from Park boundary; 90 paces at 85 degrees N.) 6/23/78 3 562295 E.,4748496 N. (1.6 miles from Parid boundary; 40 paces at 15 degrees N.) 8/9/78 4 564201 E.,47481ro89 N. 6/23/78 (.6 miles fm P 8/1/1978 Shasta Red Fir and Mountain Hemlock, densely stocked 9:15 Mountain Hemlock & Shasta Red Fir Very densely stocked 9:30 9/12/1978 16:25 17:10 76:40 35.+% 16:38 16.00%1 16:55 10:30 Mountain Hemlock with medium density 'Readings have been made under rainy condition. 15:10 13.50% 16:25 16:35 15:25 21.00% 16:20 13.50%1 16:20 35.4% 35.+% 13.00% 35.+% " 16:35 16:45 55.+% " 35 +% 20.50 35.+% 14:50 ly 8/9/78 8/29/1978 15.50 Mountain Hemlock & Lodgepole Pine densely stocked Lodgepole 8/15/1978' 14.00% Pine dense - boundary;78 paces at 335 degrees N.) ,5 566574 E.,4747910 N. (4.5 miles from Park( boundary; 160 paces at 65 degrees N.) FMISs moisture content(percent), by date and time of the day Covertype 25.50%1 16:10 11.50% 20.00% Due to maximum scaling capacity of Chisholm Scale of 30.00%, and taking the age factor of FMISs under consideration, we were able to make moisture content measurements up to 35.00% on August 15, 1978. "Readings have been made after an intense snow storm over the region. High moisture tont- tents of FMIS sites land 2 is due the fact that those sites were located under closed forest types. First period reading were not made for these sites due to their late setting date. Table 7 , 108 Fuel Moisture Indicator Sticks (FMIS) stationed at Rim Drive and Pinnacles Road, Crater Lake National Park, Oregon : 4e UTM Coordinates and Date of 2 Location descripti- Setting Covertype FMISs moisture content (percent),by date & time of the day . one of FMIS Sites 8/1/1978 375528 E.14758941 N. (5.4 miles from junotion of Rim Driv and North Entrance Road; 125 paces at 260 degrees North.) 8/9/78 Shasta Red Fir and White-bark Pine;medi2M density ----- 2 378441 E.,4754864 N. 8/9/78 Mountain Hemlock:medium density ------ Shasta Red Fir; medium density ----4- Mountain ----- tc 1 (7.7 miles from Rim Drive junction with North Entrance Road 110 paces at 60 de-, grees North.) 3 576500 2.14751382 N. 8/9/78 (13.9 miles from Rimi Drive and N. Entry , nce Road junction; 62 paces at 60 degrees North.) 4 577701 E.,4749480 N. 8/9/78 (1.9 miles from Pinnacles Road Junction with Rim Drive; 74 naces at 30 degrees North.) 5 6 579705 E.,4746244 N. (4.2 miles from Pin-I 11:20 9/12/1978 8/29/1978 ,17:20 11:10 16.00% 19.00% 11:25 11:30 18.50% 11:55 21.00% 17:30 27.5 17.00%1 11:45 15.00% 12:05 Hemlock andl 15.00% 17:45 22.50 12:00 17.50 17:50 16.50% 27.501 Shasta Red Fir; medium density 8/9/78 Lodgepole Pine ; low nacles Road Juncti -1 densely stcol on with Rim Drive; 74 paces at 30 degrees North.) eked. 581295 E.,4744331 N. (5.7 miles from Pin nacles Road juncti-, on with Rim Drive; 60 paces at 195 degrees North.) 8/15/1978 8/9/78 Lodgepole Pine; de 18:05 12:10 12:20 14.00% 18:10 12:25 12:30 14.00% 21.00% 13.50% 13.00%1 - 19.5D% 3:, stocked *Since all of the Fuel Moisture Indicator Sticks at Rim Drive and Pinnacles Road were set on August 9th, 1978, field data for August 1st,1978 are missing in this table. Table 8 109 Fuel Moisture Indicator Sticks (FMIS) stationed at South Entrance Road, Crater Lake National Park, Oregon lUTM Coordinates and 2 Location descriptio .t m of FMIS Sites 1 Date of Covertype Setting 576449 S.,4736370 NJ 6/24/78 I(HWY 62 South at Po.4 nderosa Pine Picnic area; 41 paces at 010 degrees N.) FIMSs moisture content(percent),by date and time of the day 8/1/1978 8/15/19781 White Fir& 11:35 16:15 Ponderosa 12.50% 34+% 8/29/1978 9/12/1978 15:50 15.50 20.50% 13.50% Pine with medium density 2 576102 E.,4736894 N. 6/24/78 (0.4 mile from #1; 78 paces at 255 de.i grees North.) , 3 575953 7 ,4737552 N. 6/24/78 (0.7 mile from # 1; 84 paces at 245 degrees North.) 4 574173 E.,4739689 N 8/9/78 (2.5 miles from # 11 67 paces at 190 del grees North.) 16:05 11:45 Ponderosa 12.00% 34+% Pine and White Fir densely stocked 15:40 Ponderosa 12:05 15:50 Pine and 12.50% 34+% White Fir with medium density 15:20 Ponderosa Pine and White Fir densely stocked ......... 15:40 1 16:00 13.50% 25.00 15:30 13.50% 15:05 34+% 35.0%* 15:20 16.00% 53.009 / 3 572303 2.,4740445 N4 (5.0 miles from Jun 8/9/78 ction of HWY 62 S. with Park Entrance 58 paces at 185 N. ) 6 568744 :«,4746551 N. (1.9 miles from # 7; 104 paces at 170 degrees North.) 7 570283 Z.,4748256 N. 8/9/78 8/9/78 (0.8 mile from Park Head Quarters on South Entrance Road 96 paces at 70 deel rees North.) 1 Shasta Red Fir and WhitebarkP densely atcoked ------ 14:50 34+% 13.50 15:12 24.50% Mountain Hemlock & Shasta Red Fir Mountain Hemlock 15:30 15:20 14 :30 34+% ---- -- with mediu.. m density *Readings have been made under rainy condition. 15:10 115 :00 15.50% 32.00% 14:15 34+% 16.75% 14:40 354% Due to maximum scaling capacity of Chisholm Scale.of 30.00%, and taking the age factor of FMISs under consideration,we were able to make moisture content measurmentsup to 34.00% on August 15th, and up to 35.00% on September 12th, 1978. **Due to late setting of FMISs at sites 4-7, first period readings were not registered on August 1st, 1978. Table 9 110 Weather Conditions on Two Days Prior and on the Days FMISsy Moisture Measure. meats Were Made within Crater Lake National Park@ Day of Month July 30, 1978 Temperature F (C) Max. Min. Clear and calm 0.0 Clear and calm 0.0 Clear and calm 35 0.23 (1.7) (0.58) Rainy and overcast Trace Clear and calm 0.0 Clear and calm 0.0 Clear and calm 7r do (2.2) 0.0 Clear and calm 42 (5.6) 0.0 Clear and windy (20,0) 43 6.1) (0.0) 47 (8.3) 75 (23.9) 44 (647) Aug. 1, 1978* 74 (23.3) 43 (6.1) Aug. 13, 1973 49 ( 9.4) Aug. 14, 1975 ( 48 8.9) (-0.6) Aug. 15, 1973* (16.7) Aug. 27, 1976 (13.3) (1.1) 1978 62 (16.7) Aug. 29, 1973* 68 1978 Aug. 28, 6 2 56 Zept.10, 1978 in. (cm) General Weather Condition 0.0 74 (23.3) July 31, Rainfall ( Sept.11, 37 1973 ( Sept.12, 1978* ( 2.7) 44 6.7) 31 7 33 ..,/ (0.6) 34 32 1.75 (4.45) 31 (-0.6) 29 Low clouds and snowing 1.25** 3.t8 Cloudy and light snowing 0.0 Clear and calm (-1.7) @ Source: Weather reports on file at Crater Lake National Park Headquarters * Days on which FMISs' moisture readings have been made ** Other than 1.25 inches of rainfall, 1.0 inch of snow accumulation on the ground has been recorded on this day Table 10 111 Low FMISs moisture patterns of August 1, and August 29, 1978 are associated with relatively high air temperatures (mid 70's) and lack of precipitation. During these periods (July 30 to August 1, and August 27 to 29) weather was clear and calm. Sunny, and calm days of these periods caused higher air temperatures, which in turn resulted in lower environmental moisture as indicated by fuel sticks. On the other hand high FMISs moisture contents on August 13 to 15, and September 10 to 12 are connected with rainfall or snowfall together with lower air temperatures. During these periods, over-cast skies and precipitation resulted in cooler and in some places subfreezing temperatures and high environmental moisture (Figures 26-30). Further analysis of moisture related data indicate that Southern and Western regions of the National Park received more precipitation during August 13 to 14 than other areas. The higher values recorded for the fuel moisture sticks in the southern and western regions of the Park indicate this difference. Northwesterly direction of September 12, 1978 storm over the National Park region may have caused variations in the moisture patterns of FMISs as presented in Figures 26 through 30. Altogether, the summer of 1978 was an unusually wet season 112 within the Crater Lake National Park region. Average temperatures and average precipitation amounts for the months of July, August and September are given in Table 11. Data in Table 11 indicate that average maximum temperatures of July, August and September of 1978 were much lower than the average maximum temperatures of long term (1924-61) recorded climatic data for the same months at Park Headquarters. Similarly, precipitation amounts during the summer season of 1978 exceeded average precipitation amounts for long term recorded data from 1924 to 1961. Although the National Park did not receive snow during July and August of 1978, the amount of snowfall during September of 1978 was abnormally high. As a result of unusually lower temperatures and relatively high amounts of precipitation within the Park, the fire season of 1978 was abnormally short. Downed Fuel Inventorying within Crater Lake National Park Solar insolation intensity and environmental moisture patterns are two major parameters in the ignition of wild fires within the forested areas. The third major factor in this regard is the availability of fire fuels. For this reason, dry, downed woody materials on the forest floor play a most effective role on forest fire ignition. Comparative Long Term and 1978 Summer Months' Temperature and Precipitation within Crater Lake National Park Ave. Temperature il (C) Ave. Rainfall in. (cm) Months 1924-1961 1978 1978 Max. Min. Max. 1924-1961 1978 0.66 0.0 July 0.81 (2.1) (1.?) August 63 41 70 41 (17.2) ( 5.o)(21.1)( 5.0) 1.82 (4.7) (1.4) September Seasonal Ave. 41 1924-1961 Min. 42 (19.4) ( 5.0)(21.1)( 5.6) 67 Ave. Snowfall in.(cm) 70 0.55 0.0 2.10 (5.4) (13.7) 61 67.3 38 40 (16.1) ( 3.5)(19.6)( 4.4) 1.10 (2.80) ( 4.6) 5.4 1.8 Table 11. Adopted from Sternes(1963) and 1978 weather records on file at the National Park Head quart ers. 0.2 (0.5) 5.5 37 62 53 33 (11.7) ( 0.6)(16.7)( 2.8) (14.0) 2.71 (6.9) T 2.8 (7.1) 1.0 (2.4) 114 Foresters suggest different methods for estimating downed fuel volume. Howard and Ward (1972) have developed methods for downed fuel inventory which include mostly larger woody material. This methodology is not so appropriate for sampling small branch wood and twigs. Van Wagner (1968) suggests a method which involves gathering and weighing smaller woody materials from the forest floor and measuring diameters of larger woody pieces intersected with the sample line. One other technique widely employed for downed fuel inventory has been developed by Brown (1971). The method is called "Planar Intersect Technique". Later this method has been updated twice, first by Brown (1974) and then by Brown and Roussopoulos (1974). In this research for an inventory methodology of downed woody material within Crater Lake National Park, the Planar Intersect Technique was utilized. Complete, and step by step guidelines of this method are published in 'Handbook For Inventorying Downed Woody Material" by James K. Brown (1974) of the Intermountain Forest and Range Experiment Station, Ogden, Utah. It is believed that this method is well suited for downed fuel inventory purposes of this study because: 1) the method has been designed and developed for inventorying downed woody materials (natural or by logging) within fir and pine forests of the Western United States, where Crater 115 Lake National Park is located, 2) the time required for inventorying downed woody material by this technique is relatively shorter in comparison to other similar techniques. Considering the time and space restrictions involved in this study (due to short summer season of the study area, and the size of Crater Lake National Park), application of the planar intersect technique seemed to be advantageous, 3) the Planar Intersect Method calculates not only estimates of the volume of downed fuel but it also provides the user with estimates of area so that amounts of downed fuel per unit of forest land (Tons/Acre) can be obtained, 4) the Planar Intersect Method has been developed for downed fuel inventorying of large forest lands. It is a time saving technique and requires only a two-man crew to carry out the sampling procedure. The technique involves tallying intersections cf woody material pieces with vertical sampling planes of fuel pieces which have diameters of less than three inches, otherwise measuring diameters of downed fuel. Downed woody materials in size class of less than three inches in diameter are further classified into three subclasses of 0-0.25 inch, 0.25-1 inch, and 1-3 inches. Depending on forest density, the sampling plane in this method for naturally fallen 116 materials is 6 feet for size class 0-1 inch, 10-12 feet for size class 1-3 inches, and 35-50 feet for the size class of more than 3 inches in diameter. To eliminate bias in sample point selection, the method suggests that plots be selected along transects that lace regularly across the sample area. During field observation, other related data are also accumulated. Such information included making measurements of the depths of dead fuel and duff layer within sampling plots. Measurements of dead fuel depth and duff layer were recorded to the nearest 1.0 inch and 0.1 of an inch, respectively. Observing the guidelines given in the Brown's handbook, an attempt has been made to achieve adequate sampling precision. The procedure involves altering the number of sample plots and lengths of sample planes. This alteration is in accordance with forest density and downed fuel intensity within the sampling area. Studies by Brown (1974) indicate that, by adequate precision in sampling procedure, percentage error in downed fuel inventory will be reduced to 15-20 percent. Such percentage errors are considered to be adequate levels of precision in assessing most fuel problems (Brown, 1974). Sample site selection strategy discussed earlier in this chapter was applied and fifty-seven sampling sites were located within 117 Crater Lake National Park. These sites were named Downed Fuel Study Areas (DFSA). Attempts were made to select DFSAs to be representative of the vegetation cover types and densities within the National Park. Further consideration was given so that DFSAs would be well distributed over the Park. In some cases, restricting factors arising from rough topography or remoteness of the terrain, created obstacles in the selection of certain DFSAs In selecting DFSAs considerations were observed with regard to fire spread danger units established by the Park Management. Considering this fact, 19 DFSAs were selected within Unit III of the Fire Manage- ment Plan, the most hazardous fire management unit within the National Park (Figure 2). Locations of DFSAs is shown in Figure 31. During summer months of 1978 downed fuel character- istics of selected DFSAs were studied, and adequate data and information were collected from every downed fuel study area. Additional information was collected in each sampling plot with regard to forest density, tree crown size, and forest floor characteristics. Figure 31-A represents data collection form utilized in downed fuel inventory- ing procedures. By the end of the 1978 summer season, the downed fuel inventorying project of all 57 DFSAs had been accomplished within the National Park. Downed Fuel Data Calculation 118 Locations Of DFSAs Within Crater Lake National Park 7. 6 4c - : re.). riel4111 / (.7 A 1 9 ' TJ - .1 IC _,' or A. ... I4 ........ .4s% , T.:: - , .,,- -*a-11r/ p ,..! _, ,`-drof P . Ili ... . 4 0 a .. -a .4.,, \ to, e -- a. _ 401 Figure 31 - . \, ` `' 119 Downed Fuel Inventory (Field Form) rrwr SUPCCPTANITTIT A.Sppri FLOCK STAND COM TYPE alIPARITOTT ELEVATION SIZE. CLASS ( In . ) : LENGTH OF SAMPLING PLANE (Ft ) : NO. OF INTF-P.SECTS HABITAT TYPE 0-1 3 1-3 DIAtel'n CUPP DEPTH PJ DEPTH 0 MIBRUMEMNIMIIIIIIMINNEMEMMONEN5 1111111.11111M111 G Spent IMEM EMMI 111111111111.1111 1111111111111111 hectn., a I.con, cods FUEL CrYPn.7:17,7(. I : Percent 2. Figure 31A. Adapted from Brown (1974). 120 Computation of downed fuel inventories data are either possible by computer assisted programs (Johnston, 1975), or by desk calcu- lator. Due to the complexity involved in the preparation of field data for computer assisted computation, the computer program seems to be appropriate only if very large quantities of field data are to be calculated. Considering such complexities, it was, decided to apply conventional desk calculation methods to acquired field data. To compute amounts of downed fuel (Tons/Acre), two slightly different formulas with regard to different fuel size classes were utilized. The formulas follow: a) For downed fuel classes of 0 to 3 inches in diameter: 2 Tons/Acre - 11.64xnxd xsxaxc Ni b) For downed fuel classes with more than 3 inches in diameter: 2 Tons/Acre - 11.64xrd xsxaxc Ni where: 11.64 = computation constant, n = total number of intersections over all sample points, d 2 = squared average of diameters for each size class, s = specific gravity of the woody material, a = nonhorizontal angle correction factor, Zd 2 = the sum of squared diameters for fuel classes of 3 inches or larger in diameter. It is calculated separately for rotten and sound fuel classes, 121 c = average slope correction factor, N1 = total length of sampling line for each size class (Brown, 1974). The foregoing formulas were applied to field data collected during the 1978 summer season within the Park, and amounts of downed fuel per unit of area (Tons/Acre), were calculated. Summary calculation of downed woody material for all DFSAs have been tabulated in Tables 12-68 in the following pages. This tables form has been adopted from Brown (1974). For computer assisted calculation of downed fuel data, the area within the Park was divided into 15 blocks, each block into 4 compart- ments, each compartment into 4 subcompartments, and each subcompartment into 4 stands. Then each of the DFSAs were identified by their locations within these divisions i. e., they were given a code number in accordance with their locations. Although, later it was decided not to utilize the computer for calculations of downed fuel data, the code numbers were still left on computation summary tables. Varieties of coniferous forest species exist within the National Park; through ground truthing the following dominant forest types of the Park were identified: a. Mountain Hemlock (Tsuga mertensiana) - abbreviated as M. H. on some of the computation summary tables, b. Shasta Red Fir (Abies magnifica var. Shastensis) - 122 abbreviated as S.R.F. on some of the computation summary tables, c. Lodgepole Pine (Pinus contorta) - abbreviated as L. P. P. on some of the computation summary tables, d. Ponderosa Pine (Pinus ponderosa) - abbreviated as P. P. on some of the computation summary tables, e. White Fir (Abies concolor) - abbreviated as W.F. on some of the computation summary tables, f. Western White Pine (Pinus monticola) - abbreviated as W. W. P. on some of the computation summary tables, g. Grasslands with sparse forest. At "ground truthing sites" (DFSAs), purity of forest types varied significantly from pure stands (100%) of a single species to less than 5% mixed with other species. Estimates of cover type percentages have been made through on- site observations procedures within the DFSAs, while forested area percentage and average crown diameter criteria have been calculated mathematically through stereoscopic analysis and interpretation of 1:30, 000 and 1:7400 scale U-2 aerial color infrared photographs of the study areas using equipment provided by the Environmental Remote Sensing Applications Laboratory (ERSAL), located on Oregon State University campus. Downed fuel characteristics varied greatly for the different species with regard to various parameters such as forest density and 123 maturity, elevation, slope and slope aspect. Table 69 summarizes some of these characteristics and depicts variations of downed fuel amounts for the dominant forest cover types within the Park. The smallest downed fuel amount (0.35 Tons/Acre), was inventoried under very poorly stocked (11.20% canopy coverage), Lodgepole Pine forest, and largest amount of downed fuel was 91.67 Tons/Acre inventoried under very dense (97.77% canopy coverage), Mountain Hemlock forest (Table 69). Applied fuel models for each of the DFSAs in "downed fuel summary tables" are selected in accordance with forest fire fuel loading characteristics classified by Deeming, Burgan, and Cohen (1978), in "The National Fire-Danger Rating System 1978" publication. These fuel models and their narative descriptions have been included in Appendix I of this study. We were aided in these classifications by Burgan and Cohen during our visit to Intermountain Forest and Range Experiment Station in Missoula, Montana*. *Their cooperation and kindness in this regard is greatly appreciated. 124 Downed Woody Material Computation SUmmary Study site # 1 FOREST! ampop.wif! 01 12 lIcirKt 02 suaxteturvarfr : 3 STAND: 3 Formulas to compute tons/acre: (A) 0- to 3-inch material. 11.64XliXd2Estatc (El) 3.-inch material 11.0XId2IsTatc Nt Nt Site class 0 - .2S .2S 1 Constant 1 St 11.64 142 0.020 11.64 20 0.344 11.64 - 3 2.87 Tons/ acre 0.75 1.13 1.00 24 .48 1.13 i.00 24 1.81 n .40 1,15 1.00 48 0.63111 1.00 1.00 200 16.15v 1 Ede for 3 3. Sound 1 1 .64 693 3 Rotten 11.64 pn9 .30 110 °I 1.00 200 3. Sound I Rotten Total Sum of 3inch Nuhber of nieces diameters Sound : Rotten : 73 10 23 ___1_ Sum of duff depths: Number observations Average duff depths 1 2.90 : 8 : : in. , 1.61 in. I II V IV . VI 111. 3.65 v 19.78v1 ILYX11 Average diameter 7.30 in. 7.±.6.2 in. 52 sum of fuel depths Number observations : Average fuel depths : m. 12 4.33 Sample site description: Covertype;Lodgepole Pine (99%) forested area; 43.87% average crown diameter; 17.10 feet Forest floor is covered with 1-2 further information; inches of needles. Applied Fuel Model: F Table 12 125 Downed Woody Material Computation Summary Study site # 2 FOREST: G COMPARTMENT: 12 t FLocr. STAND: SUBOCMIPA.FrIlIF-Yr : Formulas to compute tons/acre: (A) 11.641nXd4rstarc 0- to 3-inch material: Nt 11.641Id2rstatc (9) 3 -inch material Mt Site class Constant o- .25 .25 1 - 11.64 11.64 0.0201 0. 344 .48 11.64 2.87 .40 Tons/ acre Nt a 0.42 t.13 1 00 1:13 1.00 1.13 1.00 24 1.00 LiS/Q 200 2:15 21 1.26in Ede for 3. 3 Sound 11_64 530 3 Rotten 310 . 30 _1.41 LILA' 3 Sound b Rotten Total Sum of 3 -Inch diameters Sound : Rotten : Number of nieces 82 314 Sum of duff depths: : Number observations : Average duff depths : 11 IV V -1-2*-75/' VI III Avernye diameter 1-5- 5_47 ". --5- 6....ao in. 11:1,711 Sum of fuel depths in. A 2.34 I 12.341v : Number observations Average fuel depths in. 49 in. 12 : 4.08 in Sample site description: Covertype; Lodgepole Pine (99%) forested area; 21.91% average crown diameter; 15.05 feet further information; Forest floor is covered with annual grass ( 80%).. Applied Fuel Model: Table 13 126 Downed Woody Material Computation Summary Study site # 3 FOREST: 1 PLOCK S 9 COMPARTMENT: STAND: SAmleAnmmr: 3 2 Formulas to compute tons/acre: (A) 0- to 3-inch material: 11.64 0nXd2tstaXe (8) 3 -inch material 11.6402120siatc Ni At 0 Size class Constant - .25 .11.64 1RA 11.64 26 .2S I - 1 0_015 0.295 .48 _A. 2.77 3 Tens/ acre St s 1-.44 l-rG4 a14- 1.)3 1.00 i14 0.-.2.6 1 2.Q211 1.13 1.00 48 1.21111 3.21 to 112 for 3 Sound 3. Rotten 11-4 1164 138 .40 1.00 1.00 200 1691 . 30 1.00 200 29.92 v Rotten 3. Sound Total Sum of 1 -Inch diameters Sound : Rotten : Number of nieces 94 _LQ... 89 Sum of duff depths: : Number observations : Average duff depths : II 32.73 VI V 5_6.22VII VI III i". 14.13i - 11.50 in. 8 1.44 I IV Average diameter 5...4-.) 4 1.00 Sum of fuel depthS Number observations in. Average fuel depths : : : 39 in. 12 2 9 2 in. Sample site description: Covertype; M.H.(70%), S.R.F. (20%), and L.P. (10%) forested area; 62.71% average crown diameter; 42.87 feet further information; Most of downed woody material in large diameters(more than 6 in.) are in rotten class Applied Fuel Model: H Table 14 127 Downed Woody Material Computation Summary Study site # 4 FOREST: 1 MOCK : 9 4 COMPARTMENT! SUPCMPARTMYr : STAND: 1 P Formulas to compute tons/acre: (A) 11.64InFd2Fstatc 0- to 1-inch material. Nt 11.64FT.d2Sstalc (B) 3 -inch material St Site class 0 .25 .25 1 - - Constant n 11.64 234 11.64 1 3 dz 31 a St c .0151 .48 1.13 1.00 _24, .?P'q .48 1.13 11.64 _LL4. 40 Tons/ acre .93 1.00 48 1.13 1100 4.24 lir fd: ,or 3. Sound 50/1 .110 1.00 1..90 11.73 Iv 3 Rotten ;32 .34 1..0 1.99 200 LILQ3 V 3 Sound S gotten * Total Sum of 3.-inch diameters Sound : Rotten : Number of pieces 1 20 4.60i, 43 J. 13.33i, ' Number observations Average duff depths 1 : 11.20 "1' 8 111 sum of fuel depths Number observations 1,40 In. ?P, 76 VI .29V11 VI Av era ve diameter 92 sum of duff depths: II V IV Average fuel depths : : 43 12 in. 4 in. Sample site descrittion: Covertype; Shsta Red Fir (80%), Mountain Hemlock (ZO%) forested area; 80.19% average crown diameter; 43.17 feet further information; 30% grass cover on forest floor Applied Fuel Model: H Table 15 128 Downed Woody Material Computation Summary Study site # 5 FOREST: COMPARTMENT: 8 Nix?: STAND: 3 1 4 ucompAnmmr: Formulas to compute tons/acre: (A) 0- to 3-inch material: 11.641nXd2xstaac (8) 3 -inch material 11.640Ed2050t0c Mt Nt Size ions/ class Constant 0 - .25 )1.4. 60 0.0151 .25 - 11.64 18 0.289 I l-3 dt 11-st-64 1.L12 s a Nt c acre 0.a4 .48 1.13 .40. 1.13 1.0d 48 2.721H or 3. 3. Sound 11.64 18PR .40 L,231 ?OlD 44.19Iv : Rotten 11,114 ?54 .30 L.O.Q 1.0 200 L.09 v 3. Sound S Nottcn Total Sian of 1.- inch diameters Sound : R? Rotten : 18 _.....L. -..i.....- Sum of duff depths: Number observations Average duff depths :umber of nieces : : : 4..3 II IV IpS,.,8VI V Ill VI 5p_ isyz1 Average diameter 13.7n. 9.00R in. Stun of fuel depths in. Average fuel depths : Number observations 8 0.54 I : : 25 in. 12 2.08 m. Sample site description: Covertype; Mountain Hemlock (70%), Shasta Red Fir (30%) 86.24% average crown diameter; 42.48 feet forested area; further information; Forest has over mature trees (about 15% of the covertype). Applied Fuel Model:_a. Table 16 129 Downed Woody Material Computation Summary Study site # 6 FOREST: COMPARTMENT: ar)a: 9 STAND: AlaX*IPARTMEttr: 1 Formulas to comuce tons/acre: (A) II.643nXd=ts.tdSc 0- to 3-Inch material: Nt (8) 3 -inch material 11.64 X tdl dsdade . NI Size class Constant Tens/ n d2 a acre c 11.64 _115 0.0151 1,1a 1.02 24 0.47 11.64 __L5 0.289 11.64 15 2.76 113 1.02 24 Is24 1,1 1.02 48 4,63 iii 2Q0 ij.-1,17Pw Ed= for 3. 3. Sound 11.64 3. Rotten 2.1.,E4 1776 1.00 1.02 196 1_,.gg 1.02 2Q.2 3. Sound 5 Rotten Total Sum of 1. -inch diameters Number 912...1.ca. Sound Rotten : lib, : Number observations : Average duff depths : 5_ 1 IV in. 49.66v1 52.7011 Average diameter Sum of fuel depths A Number observations 0. 64 V VI III in. 1 1-1+ II 10.6^ _LI_ : Sum of duff depths: I in. Average fuel depths : 27 : 12. : 2.25 in. n. Sample site description: Covertype; Mountain Hemlock (99%) forested area; 85.18% average crown diameter; further information; on the forest floor Applied Fuel Model: 38.33 feet Needle coverage of about 1 inch r, Table 17 130 Downed Woody Material Computation Summary Study site # 7 FOREST: COMPARTMENT: 1 9 STAND: 1 SU EL"CtIPARITIEIC 3 Formulas to compute tons/acre: (A) 0- to 3 -inch material: 11.640115,120sxaXc (8) 3.-inch material 11.64d142XsX3 dc Nt Ni Size class 0 - .25 .25 1 Constant Tons/ acre C 331 0.0151 11.64 1 d2 - 3 r L8 59 0.289 .40 11 1,1_ 1.011 24 4.53 u 1 . n1 4,3__ 3.36 Ur 1.01 160 8864 Iv 142 for 3. 3. Sound '94 11tra4 3. Rotten LeS2. 549 12_,J0 Somd G Rotten Total Sum of 1.inch Sound Rotten I diameters Number of PICCCS : 163 _3.. 5,33. in. : 39 _i_ IL. in. Sum of duff depths: : Number observations : Average duff depths : 8.8 29.81v1I vi III in. Sum of fuel depths Number observations 1 20.74 V Average diameter 3 1 II IV in. Average fuel depths : : : 46 72 3.83 Sample site description: Covertype; Shata Red Fir (60%), Mountain Hemlock (40%) forested area; 53.39% average crown diameter; 34.72 feet further information; Applied Fuel Model: H Table 18 131 Downed Woody Material Computation Summary Study site 4 8 FOREST: 1 COMPARTMENT: ac..r.cK 9 mactpleA.nmfr: 7 STAND: 3 Formulas to compute tons/acre: 11.640nXd2C5CoCC 0- to 3-inch material: (Al Nt II,64Ct42SsCaAo (2) 3 -inch material Nt Size class Tons/ Constant St 11.64 11.64 214_ 1.300 11.64 00 8 L..ao .40 10.0 Acre 0.11 1 0.31 11 48 0.00 u: W2 for 3 3. Sound 3. Rotten 1.1..6.4 75 234 inn t.25 IV _220 4..as v 5.34 VI 3. Sound 4 Rotten = Iv Total Sum of 1 -Inch diameters Sound : 19 Rotten : 34 Number of pieces 1 II v III VI 6.2.6 ,11 Average diameter 3.80, 5 - Sum of Juff depths: : Number observations : Average duff depths : in. 8 0.08 6.80i, Sum of fuel depths Number observations : : 5 in. 12 Average fuel depths Sample site description: Covertype; GrasSland(70%), White Pine(10%), L.T.P.(10%) forested area; 13.01% average crown diameter; 22.20 feet further information ; Stands have occupied about 25-30% of the area Applied Fuel Model: A Table 19 132 Downed Woody Material Computation Summary Study site # 9 FOREST: 1 afixx : 6 COMPARTMENT: 3 stia:comtnmyr: 4 STAND: L. Formulas to comcute tons/acre: (A) 0- to 3-inch material: 11.643nXdItsAaXe (8) 3 -inch material 11.648nd2XsXaXn Nt Nt Site class 0 Constant az 1 - 1 3 St Tons/ acre 00111 .28 L.L1 1.00 30 0.16 2- 0.300 1.00 30 0.32 it 11:i4 2 2.78 .48 1A11 'LC 1.13. 1_00 60 0.49 ur 1.00 aao_ 7.08 iv 1_..44 1.001 24E2 11FC .25 - a 11._64 .25 - 5 Ld2 for 3 3. Sound 3 Rotten 3n4 -40 1047 -30 1 3 Sound S Rotten Total Sum of 3. -Inch Sound Rotten : : diameters Number of nieces 48 --8L. 121 12 Sum of duff depths: Number observations Average duff depths : : : 4. q in. 10 0 . 49 I II IV 25.36v1 2L..33" VI Average diameter _n in. 2.12,Sum of fuel depths : Number observations in. V 111 18.28 Average fuel depths : : 24 in. 15 1.60 in. Sample site description: (10%) Covertype; Mountain Hemlock(70%)9 L.P.P(20%), Western W.F. forested area; 78.42% average crown diameter; 28.50 feet further information; forest floor Needle thickness about 1 inch on the Applied Fuel Model: H Table 20 133 Downed Woody Material Computation Summary Study site # 10 FOREST: 1 COMPARTMENT! 3 Rtf)Cr! 6 suaarpAmmvr: 1 4 STAND: formulas to compute tons/acre: (A) 11.64 X n X d2 0- to 3-inch material: X s a X c Ne 11.641:d2IsAalc (B) 3 -inch material St Site class o - 1 - 11.64 .25 .25 - TcrIS/ Constant 45 s 16Q 0.0151 11.64 21 0.259 1 3 2_76 11-1-6-4 -4- a NX c acre .48 1.j 1.00 24 4 1 ,.48 1.13 1.00 24 1.60 11 -.40 1.110 11.8.- n,91 tIt 2011. P2 -70 Iv W2 for 3 Sound 11-.6.4 975 1. nn. 3. Rotten Loa 3. Sound S Rotten Total Sum of 3 -Inch diameters Sound Rotten ': umber of nieces : : 54 8 Sum of duff depths: : Number observations : Average duff depths : 10.20 in. 8 1.2B in. I II 200 1. 30.31 vt IV III 33ifell VI Average diameter 11.29, 6.75, Sum of fuel depths : Somber observations : Average fuel depths : 244) in. 12 3.33 in. Samrle site description: (5%) Covertype; M.H(60%), Shasta Red Fir (35%), Western W.P. forested area; 80.02% average crown diameter; 29.56 feet further information; Open forest Applied Fuel Model: H Table 21 134 Downed Woody Material Computation Summary Study site # 11 FOREST: COMPARTMENT! 1 6 4 STAND: 1 sUGOOMPARTMEW : Formulas to compute tons/acre: (A) 0- to 3-inch material: 11.643114424s414c (B) 3 -inch material 11.44 V td24s4a4e Nt tit o Size class Constant .25 11.64 - .25 1 n 3C12_ 0_(-115 11.64 lq 1 1411 1.13, Q.289 11.64 10 - 3 NC Tens/ acre 1.00 24 1.2Z 1.00 24 1.44 11 13.03 ctt d= 1-122 id' for 3 3. Sound Rotten 2312 ,.40 1.00 1842 _.30 1.00 1.00 1.00 3. Sound G Rotten Total Sum of I inch Number of pieces diameters Sound : Rotten : 174 92 Number observations : Average duff depths : 18, 10 32.16 v V IV ill vi 91.67vu VI 9a76in. in. 8 2.26 200 15.33in. -11-: 11 53.82 ry Average diameter .12:__ Sum of duff depths: 1 200 in. Sum of fuel depths : Number observations : Average fuel depths : 50 in. 12 4. 17 in. Sample site description: Covertype; Mountain Hemlock(95%), Shasta Red Fir (5%) forested area; 97.?7% average crown diameter; 36.60 feet further information; Open forest with heavy downed woody material accumualation Applied Fuel Model: G Table 22 135 Downed Woody Material Computation Summary Study site # 12 FOREST: 1 6 COMPARTMENT! 1 susoompAmmur : 4 2 STAND: Formulas to compute tons/acre: (A) 0- to 1-inch material: 11.64antd2astatc (8) 3. -inch material 11.4401:320state Nt Nt Size class Constant d2 N( 11,6.4 _43_, 0.01 0.300, 11.64 2.78 Tons/ acre .48 1.04 .3 a- a..15 .48 1.13 .40 1,13_ 1.00, 30 1.14 11 1.00 60 0.Z3111 La= for 3 5 Sound Rotten 11- r14 553 .40 1.00 1.00 250 10.50tv _11.114 1014 .30 1.00 1.00 2q0 14.16v 3. Sound Total Sun of 3 -lnch diameters Sound Batten : : Number nieces of 1c5 J 5_ 100 Sum of duff depths: Number observations Average duff depths : : : 23.80 in. TO E. I Rotten in. V 26.48vu VI II Averi4:C diameter _a.m.:a in. 8.33 in. Sum of fuel depths Number observations 2.38 IV Average fuel depths : : : 28 in T5 1.87 in. Sample site descriotion: Covertype; forested area; SR.F(50%), M.H.(40%), L.P.P.(20%) 39.74% average crown diameter; 34.38 feet further information; Mixed forest, and 50% of the forest floor covered with annual grass Applied Fuel Model: H Table 23 136 Downed Woody Material Computation Summary Study site # 13 FOREST: COMPARTMENT: 1 5 STAND: stmamenximrm: 4 Formulas to comute tons/acre: (A) 0- to 3 -inch material: 11,64:n2d2X1 :4XC (8) 3.-inch material 11.642rd2xsayXc tit St Size class Constant S - .25 11.64 .25 1 1 3 At ,12 65 Tons/ acre 1.00 24 0.26 11.64 0.0151 .48 0.289 .48 1.00 24 2118 1/ 11.64 2.76 .40 1.00 48 2.12111 1454 .40 1.00 1.00 200 33.851v 863 .30 1.00 1.00 200 15.07 v V 8.22VI 1 w= for 3 Sound 3 Rotten 3 Sound Total Sum of 1 -inch diameters Sound ; 116 Rotten : 55 11 Average duff depths : : : 1.97 VI I . 51.68v11 7.73n. 13.23n. in. 12 Sum of fuel depths 8 0.25 IV Average diameter ___4 Sum of duff depths: Number observations Number of nieces Rotten Number observations in. Average fuel depths : : in. 12 1.00 in. Sample site description: Covertype; Mountain Hemlock (99%) forested area; 66.97% average crown diameter; 27.82 feet further information; Scattered Mountain Hemlock regeneration; forest floor covered with annual grass Applied Fuel Model: G Table 24 137 Downed Woody Material Computation Summary Study site # 14 FOREST: stocK COMPARTMENT: 5 STAND: 3 StJECCSINVITME.,11* : Formulas to compute tons/acre: (A) 0- to 3-inch material. 11.64:n:d2tsXaSc 3.-inch material II.e4:Cd2XstaSc Nt (8) Nt Site class 0- .25 .2S 1 I - 3 Tsms/ Constant d2 n .48 .11.64 ,163, 4.0156 11,64 11 ..64 1.13 1.00 2...L.311+ 502 : 0.61 n; .1.00 200 1.12.281v .30 1,..20 1.00 200 Total Rotten 48 1.00 3 Sound S Rotten : 0.67 1.110 , Sound 24 for 3 3+ Rotten Sim of d -Inch diameters acre 1_00 D-295 -2. i3 3 Sound St iiumber 8 II V III 224.96 ri ,Z9.09/II VI Averne of nieces 60 1 9.18 v i amet cr 7 50in. 58 Sun of duff depths: : Number observations : Average duff depths : 3, 2 in, 8 oLOD tn. Sum of fuel depths 16 Number observations 12 Average fuel depths 1.33 in. in. Sample site description: Covertype; M.H.(85%), L.P.P.(10%), S.,R.F.(5%) forested area; 70.30% average crown diameter; 28.18 feet further information; Healthy forest with some patchy openingscovered with grass Applied Fuel Model: H Table 25 138 Downed Woody Material Computation Summary Study site # 15 FOREST: COMPARTMENT: 5 FLocK : 1 4 STAND: 3 su ecovv,mmIlr Formulas to compute tons/acre: (A) 0- to 1-Inch material: 11,64XnXd20sX1Re (E) 1.-inch material 11.64)(7,d2IsSaIc St Nt Site class Constant n 11.64 86 0.015 11.64 111 0.289 2.^6 11.64 - 3. Rotten Tcnsi acre 1000 24 Z,34 1.00 24 1.06 LAag 48 .4 1,00 1.00 ZOO 5.18 Iv 806 .30 1.00 1.00 200 14,07 v Total Number of pieces Diameters Sound : Rotten : P7 ,c,A Sum of duff depths: Number observations Average duff depths : : : 111 105 Sound 4 Rotten Sum of Ainch II or .1 I12 3. Sound m d2 7..5 II V III 1,9.%5 yr VI 2.2..27m Average diameter 2--.. 3. ,a6 in. 7 971 in. in. Sum of fuel depths 8 0 s:51 I IV Number observations in. Average fuel depths : : : In in 12 C)..i in, Sample site description: Covertype; Mountain Hemlock (99%) forested area; 71.92% average crown diameter; 36.81 feet Healthy forest with some openings; understory regeneration of M.H.(about 8 ft. tall) Applied Fuel Model: H further information; Table 26 139 Downed Woody Material Computation Summary Study site # 16 FOREST: 1 1114Ci1 I 6 COMPARTMENT: 1 sugmccorAmmm7: 4 STAND: Formulas to compute tons/acre: (A) 0- to 3 -inch material: 11.640A0d2XSAa2C (8) 5.-inch material 11.64X:d2X50aIc Nt Nt Size class Constant 0 - .25 11.64 217 0-015 .25 - 11.64 02 89 11.64 --5- 2.76 1 - 1 5 At 112 acre 1.13 1.00 .46 1.13 1.00 Li 1.67 11.13 1.00 .48 1.51 Iti tv td2 for 3. 3. Sound 11 -64 3. Rotten 190 .40 1.00 1100 200 4.42 81 .50 1.00 1.00 200 1.41 3. Sound 4 Rotten Total Sum of .1.-inch ':umber diameters Sound Rotten of picc e5 _.2_ 5634in' 15 -.I- 5.,a0in. sum of duff depths: : Number observations : Average duff depths : R.5 9.83 V IV III in. Sum of fuel depths in. Average fuel depths 8 1.05 II vt 9,87 VII VI Average diameter 3J : : I Number observations 19 : : in. 12 1.58 in. Savoie site description: Mountain Hemlock (99%) Covertype; forested area; 17.53% average crown diameter; 39.28 feet Scattered understory of Whitebark further information; Pine (about 8 ft. tall) Applied Fuel Model: H Table 27 140 Downed Woody Material Computation Summary Study site # ly FOREST: 1 BLOCK : A COMPARTMENT: 7 STASIS: SU 2CCM P ARTmarr : Formulas to comute tons/acre: (A) 0- to 3 -inch material: 11.64Xntd24sta2 c (5) 3.-inch material 11.6412r.d20sta0c Na St Site class o - .Z5 .25 1 - Constant I 0.0191 .48 19 0.289 .40 7 2.76 1.13 1.00 30 3.17 1 1.13 1.00 70 1.17 II 1.13 1.00 60 1.69 III .48- 1-.-00. 1.00 240- L Q-71...-51IY .30. 1.00 2,a 14.26 3.541 11.64 11.64 3 Tons/ acre n EL12 for 3 3 Sound 1 1 1477 _1021._ 3. Rotten 3. Sound I Rotten Total Sum of 3.- inch Number diameters Sound Rotten of {pieces 0 A 0 : 57 10 Sum of duff depths: : Number observations : Average duff depths : 92 in. 10 0.92 = I II IV VI 1,44....79/11 Averar.e di3mete: ..2.2. in. 8.70 in. Sum of fuel depths 31 Number observations in. ji 1_77 vi V 111 Average fuel depths : : 1 in 5 2.07 in. Sample site descriction: Covertype; Mountain Hemlock (99%) forested area; 62.48% average crown diameter; 41.55 feet further information; Open forest; litter thickness does not exceed one inch Applied Fuel Model: G Table 28 141 Downed Woody Material Computation Summary Study site m 18 FOREST: PUjCV. COMPARTMENT! 2 susccivIdymsyr : 3 1 10 t STAND: Formulas to compute tons/acre: 11.64 a n t d2 i 0- to 3-inch material: (A) S 3 a S Nt 11.645Zd2tsr1 tc 3.-inch material (9) Nt Size class 3- .25 11.64 .25 - 11.64 1 - I-CMS/ Constant I a PLO 0 . 0 1 51 1.13 1.00 2.76 11.64 3 NI C .48 La.13 1:2). .40 1.1 1.00 acre 30 b.77 60 psai 5.65 II III W2 for 3 3 Sound ---46.E4 3. Rotten 12..6.4 L.QD 4n9 439; Total Sound : Rotten : Number of ieces 49 __1_1_ 6.25 i r" __I i9.56 in. Sum of duff depths: : 12 in. 1 Number observations : 1(g Average duff depths : 1.21 v IV v 11 VI '18:4,774,3V: II Average diameter Diameters 17 11.7.4 Iv 1.9.0 1,00 3. Sowed 6 Rotten Sum of 3. -Inch ?5,(-1 In. Sum of fuel depths : Number observations : Average fuel depths : 37 in. ___1.5........_ 2,47 in. Sample site description: Covertype; Mountain Hemlock (99%) forested area; 70.98% average crown diameter; 37.20 feet further information; Healthy forest with heavy downed woody material. Needle thickness about one inch. Applied Fuel Model: G Table 29 142 Downed Woody Material Computation Summary Study site # 19 FOREST: 2 COMPARTMENT! 4 stkpm: 2 suaarrARmyr : t Formulas to compute tons/acre: (A) 11.64 intd2Xstatc 0- to 3-inch material: Ni 11.6137423statc (B) 3 -inch material Nt Size class 0 - .25 .25 1 - Tons/ Constant 11.64 -LIZ 11.64 0.797 11.64 7.78 1 3 acre tit 1_Q9 Q.60 1 1.48 II 24 .48 1.13, ,40 1.13 1.00 48 3.05 III 543 .40 1.00 1.00 200 12.64. Iv 1653 .30 1.00 1.00 200 28.86 v ida for 3 3. Sound 11..4. Rotten 3. Sound & Rotten Total Sum of 3 -inch diameters Sound : Rotten : Number of pieces 83 I 11 V IV III 41. 30 v: 46,63tt: VI Average diameter 2,-. Sum of duff depths: : Number observations : Average duff depths : 214.-6CI in. 3.08 in. Sum of fuel depths Number observations 12 Average fuel depths 1.92 in. Sample site description: C o vertyp e ; Mountain Hemlock( 85%), Lo dEppo1e forested area; Pine( 15%) 64.16% average crown diameter; further information; 28.88 feet Healthy forest about one inch. Applied Fuel Model : G Table 30 ; needle thickness 143 Downed Woody Material Computation Summary Study site # 20 FOREST: COMPARTMENT! PL. OCK 3 STAND: 3 3 SUE1071PARTMEIff Formulas to compute tons/acre: 11.64InId2XstaRc 0- to 3-inch material: (A) NL 11.64 21420s2aXe (I) 3 -inch material Nt Size class Constant 0 - .25 .11.64 .25 1 - n Nt 78 0.0166 11.64 1 11.64 3 0.306 _2_ 1.00 0.27 1.00 "LIP 60 0.71 u 1...2J III .48 2.79 Tons/ acre I td2 for 3 3. Sound 11_A4 1-32 1-0.0 251) 2.4.6 3 Rotten 11-64 1f54 1-00 250 P3-10 3 Sound 4 Rotten Total Sum of 3 -Inch diameters Sound : Rotten ; Number of pieces PA 1n4 Sum of duff depths: : Number observations : Average duff depths : I 14...33. in. _-2, 114....B.L. is. in. 10 1.44 in' V Ill 25.56'11 ;) PL VI 25+11 Average diameter _r,_ 14.40 II IV P, 20 Sum of fuel depths : Number observations : i5.______ Average fuel depths : i 1.33 Sample site description: C overtype; Mountain Hemlock(70%), Lodgepole Pine(30%) forested area; 53.27% average crown diameter; 24.95 feet further information; Healthy forest; downed woody material seem to be in rotten class if have larger diameters.(:10 in.) Applied Fuel Model: H =MINION, Table 31 144 Downed Woody Material Computation Summary Study site # 21 FOREST: COMPARTMENT! FAILCY.: sueccmpARTmErrr : STAND: 4 Formulas to compute tons/acre: 11.643nSdItsra0c 0- to 3-inch material. (A) Nt 11.440texszaIn (B) 3 -inch material Nt Size class 1 Tons/ Constant d2 a 1.13 1.00 30 f).58 1 0.344 .48 1./3 1.00 30 1.01 II 1,13 1.00 60 D25 III 1.00 250 11.38 IV __I_ 2.87 3 Sound G Rotten Total : Rotten : I Sum of 3 -Inch diameters 2f2imIss Average diameter 51 _St__ 844_ in. Number/ II IV V III 1-5..149 VI 17.33vn VI 6..33- in. Sum of duff depths: : Number observations : Average duff depths acre _117 0.020 14 Sound St c : 3. nn Number observations 0.3 27 Sum of fuel depths Average fuel depths In. : : in. 15 1.80 in Sample site description: Covertype; Lodgepole Pine (99%) forested area; 25.80% 14.73 feet average crown diameter; further information; Young forest with some patchy openings covered with grass Applied Fuel Model: U Table 32 145 Downed Woo dy Material Computation Summary Study site # 22 FOREST: COMPARTMENT! 111.1)CY, 4 STAND: SLIECOPIPARITIENT Formulas to comute tons/acre: (A) 0- to 3-inch material: 11.64INXd2Xs43Xc 3.-inch material 11.64 Xld24sl3 t NI (8) c Ni Size class 0 - .25 .25 I Constant n - 3 s .48 1,13 1.00 0.330 .48 1.13 1.00 12 11°64 P- A4 2 Tons/ acre Nt e _1113 0.018 11.64 1 d2 30 0.47 0,83 II 1,13 LOD _60 1....59111 Ids for 3 3 Sound 3 Rotten 11 . ;4 294 11....64 167 ...40 1.00 1..II0 250 -5.48 Lao 1.0.0 250 2.33 3 Sound & Rotten Total Sum of 3 -inch diameters Sound Rotten : : Humber of pieces 56 _,2__ : Number observations Average duff depths 11 I IV 1AJ31 VI V Ill 11.10VU VI Average diameter r" 33 Sum of duff depths: IV : 4._2_1 in. 77.51 in. Sum of fuel depths 1n Number observations : 15 Average fuel depths : 1.47 0.73 in. : 7 a in. in. Sample site description: CovertYPe;Lodgepole Pine (75%), Mountain Hemlock (25%) forested area; 18.26% 12.50 feet average crown diameter; further information; Some patchy areas with annual grass in the openings of the forest Applied Fuel Model: U Table 33 146 Downed Woody Material Computation Summary Study site # 23 FOREST: 2 COMPARTMENT: sua_13,1PARTME-IIT 2 STAND: 2 : Formulas to compute tons/acre: 11.64XnreIstaIc 0- to 3-inch material: (A) St 11.441Id2XsZale (8) 3 -inch material Mt Site class Tons/ Constant s a Se c n 0- .25 .25 1 - 156 -1n1194 ..4.EL 1..13 1-aD 13A .4A 1.11 1-00 _a.. " .40 1A13- 1..0Q _ILL 1.87 III 1.00 1_00 POO 1_00 LOD ?no 11.64 1 2 -8 3 acre 5 (1.39 fd2 for 3 3 Sound 3 Rotten 11,.6.4 394 3 Sound 6 gotten Total Numbr Sum of 3 -Inch diameters Sound Rotten : : of nieces Average diameter 4- 4.71 in 19 44 II III VI 9,144 VI 13.2011 in. Sum of duff depths: : Number observations : Average duff depths I V IV P-2; n 6-8.8 V : 4_2 in. Sum of fuel depths A 0.53 Number observations ln. Average fuel depths : 10 : 15 : 0.67 in. in. Sample site description: Covertype; Lodgepole Pine (85%), and Mountain Hemlock (15%) forested area; 57.17% average crown diameter; further information; 28.97 feet Understory of Mountain Hemlock with 5-8 feet tall Applied Fuel Model: U Table 3L1. 147 Downed Woody Material Computation Summary Study area # 24 FOREST! COMPARTMENT: RUOCK t 7 3 2 STAND: SUSCCMPAFINEW Formulas to comrute tons/acre: (A) 0- to 3-inch material: 11.64 tard2ts:adc (B) 3.-inch material 11.641:42%sxsac Nt Size class 0 - - IL 6.4 .25 .25 1 Constant dl 11.64 3 Tons/ acre Nt c 0.011 .43 1 1.13 1.00 2,4._ 0. a2 0.300 .4 1.13 1.00 14 u .90 2.78, .40 1.13 1.00 _LL.3_ 1.52 us 119 1L.64 1 a Ed= for 3. 3. Sound 3. Rotten 1J-t=.14 175 .40 1.0Q 1.OQ 2fla y.O7 _11._6A 77 .30 1...04 1.OQ 200 1,.14 3. Sound L Rotten Total . Sum of S -Inch diameters Sound Rotten : Number of pieces 1 11 IV V 5 ill " A.9,3vu VI 151 IV Average diameter 5_17 in. 31 17 Sum of duff depths: : Number observations : Average duff depths : 4_on in. swm of fuel depths Number observations 0.75 in. Average fuel depths : : : 1 12 1.75 Sample site descrirtion: Covertype; M.H.(50%),S.R.F.(30%), and L.P.P.(20%) 71.10% average crown diameter; 28.22 feet forested area; further information; Healthy forest Applied Fuel Model: H Table 35 148 Downed Woody Material Computation Summary Study area # 25 FOREST: COWAKINEM1'1 1 3 STAND: suamriPmnrstrr Formulas to comrute tons/acre: 11.64211Xd2X5X1Xc 0- to 1-inch material. (Al Nt 11.61 32d2 tstatc 01 3 -inch material Nt Site class Constant 12 n a St C o - .25 11.64 111 p.0161 .25 - 11.64 __14 '5_.3CIn_ 1.1;- 2_7R 1.13_ 1.8 .140 1.00 ILL! .30 1.21 1,10 160. I 1 - 123 11a..6.4 3 Rotten l_nn 3 Sound 5 Rotten = Total Sound 0.77 1.00 11 111 for 3. 1,12 5 Sound Tons/ acre Sum of 3 -Inch diameters of pieces 5 1.. ':untie r I II V V IV III 3.9 0.55 VI AvCCAV.0 diameter : 4.60 in. Rotten : Sum of duff depths: : 32. La) Number observations Average duff depths : : 5.00 in. in. 8 4..05 in. Sum of fuel depths : Number observations : Average fuel depths : 12 in. la 1 .00 in. Sample site description: Covertype; M.H. (40%), S.R.F. (40%), and L.P.P. (20%) forested area; 78.44% average crown diameter; 22.47 feet further information; Very young forest, average heights of M.H. and S.R.F. species about 50-60 feet Applied Fuel Model: H Table 36 149 Downed Woody Material Computation Summary Study area # 26 FOREST; COMPARTMENT: BLOCK 7 STAND: 3 4 sueocmpfiurrstrr: Formulas to compute tons/acre: (A) (8) 0- to 3-inch material. 11.64 X n X d2 isra:c 3 -inch material 11.44 1rd20starc Nt ht Site class 0 - .25 .2S 1 Constant d2 n 11.114 NI 211 Q.01q6 11.64 0-359 11.64 _3_ Z.86 1 - 3 1.00 2_4_ .48 1_00 .40 1422 24 2.41 u Al_ 0.94111 125 11 -64 3 Rotten 674 .30 Total Sound Rotten : Number of ni.6ces 160 1_00 1.00 160 j14.71 I 11 IV v 8-55 vI V 2.791m VI III IV Average diameter 25 in. 14.f12 in' : 1)i Sum of duff depths: : Number observations : Average duff depths 3,64 1.00 1.00 3 Sound 4 Rotten Sum of 3 -inch diameters 1.09 for 3 re. 3 Sound Tons/ acre : 252.:50 in. A 4. 16 in. Sum of fuel depths : Number observations : Average fuel depths : 38 in. 12 3.17 in. Sample site description: Covertype;Lodgepole Pine (90%), Mountain Hemlock (10%) forested area; 86.88% average crown diameter; 22.48 feet further information; Understory regeneration of both species 4-7 feet in hieght Applied Fuel Model: U Table 37 150 Downed Woody Material Computation Summary Study area # 27 FOREST! 4 COMPARTMENT: Ewa : 7 STAND: 3 SUEOCMPARTMEtfr : Formulas to compute tons/acre: (A) 11.641nId2Astatc (). to 3-inch material: Nt 11.642 rd2XstoIc (B) 3 -inch material Nt Site class Tons/ Constant NI d2 0 - .25 11.64 142 0.0191 1.00 .25 - 11.64 30 0.333 1.00.30 ?-R,5 1.C.0 1 1 11.64 - 3 acre 0.57 30 1 2.10 II A-901n 0._ W2 for 3 3. Sound 3 Rotten FA3 .40 BP .30 1-00 175 6 iv 1.QQ_ 1.00 175 1.54 V 1.00 3 Sound G Rotten Total Sum of 1 -Inch diameters Sound : Rotten : Numbee pp Sum of duff depths: : Number observations : Average duff depths : 14.-- 21.20 in. .EL___ 3.6711" 12-2 Ill Sum of fuel depths in. 10 1.22 II V VI 0 VI 34. 17v11 Average diameter 2.21:SM 193 I IV in. 36 Number observations 15 Average fuel depths 2.40 in. in. Sample site description: Covertype; Lodgepole Pine (80%), and Mountain Hemlock (20%) forested area; 65.48% 18.05 feet average crown diameter; further information; Downed woody material most in sound class category Applied Fuel Model: G Table 38 15 1 Downed Woo dy Material Computation Summary Study site # 28 FORESTS COMPARTMENT! 4 FLOCK : suaccmemilmer: 2 7 STAND: Formulas to compute tons/acre: (A) 0- to 1-inch material: 11.640nXd2zszax, (3) 1.-inch material I1.64 Xtd2Xstate NC Nt Size class 1 - 1 3 5 Tons/ acre St ?43 0.0191 1.00 24 0.99 11.64 34 0.289 .48 1.13, 1.00 24 2.8 u 11.64 LQ_ 7.7h .40 1.12_ 1.0Q 40 3.63111 o- .25 .25 - d: Constant 1.11 1,12 for 3. 3 Sound 11 1 Rotten 11 ...a4 4,34 .40 1.00 IIAL .30 1.00 _ 1A.1.3 1.no 1.40 3. Sound 6 Rotten Total Sum of 1 -Inch diameters Sound : Rotten : 'lumber III VI 3.96 vi . 51.18m .1. 9.0 in. la__ S.= of Juff depths: Average duff depths II V avernEe diameter 2i 41/5a 48 90 Numbci observations I IV Iv (=L5.-5 : : : 4iL 10 in. Sum of fuel depths 8 1;1.01 in. 57 Number observations : Average fuel depths : in. 12 L..79 in- Sample site description: Covertype; Shasta Red Fir(70%), and Mountain Hemlock(30%) forested area; 84.10% average crown diameter; further information; 20-30 feet height Applied Fuel Model: 37.68 feet Understory of both species with 0 Table 39 152 Downed Woody Material Computation Summary Study site # 29 FOREST: : 1 COMPARTMENT: L. 7 %laccreAamsur: 1 STAND: Formulas to compute tons/acre: (A) 11.640nX32xstas, he 0- to 3-inch material: 11.648:412XsSadc (8) 3 -inch material tit Site class Constant n Tons/ acre d2 11.64 11.64 0.0151 11.64 1.13 1.01 24 1-.13 1.01 2) 1..13 1_01 48 2...14111 1.0Q'1.01 160 2...D.6 LOD 160 42 1.40 i u td2 for 3 3 Sound 1 1 3. Rotten .11.114 241 -14 246 ..,aa 3 Sound Total - Sum of 1 -lnch diameters Sound Rotten : : Number of pieces a__ 41 31 1.01. Rotten I II V IV III II, 12_50111 12. w6 511 VI Average diameter 5,13_ in. 7o7 Sum of duff depths: in. : Number observations : Average duff depths : Sum of fuel depths 8 0.45 in. : Number obScrvationd : Average fuel depths : 44 in. 12 3.6? in. Sample site description: Covertype; S.R.F.(85%),M.H.(10%), and W.White Pine (5%) forested area; 86.59% average crown diameter; further information; Applied Fuel Model: 26.91 feet Most of the stands are very young H Table 40 153 Downed Woody Material Computation Summary Study site # 30 FOREST: 1 COMPARTMENT: 'MOCK : 7 staCOMPARVIEWr sTmo: 3 4 Formulas to compute tons/acre: 11.640nXd2XstaXe 0- to 3-inch material. (A) Nt 11.640tetsSaXe (B) 3 -inch material Nt Site class Constant 0- .25 11..1:14 .25 Tons/ n 11.64 1 - 3 11,64 3. Sound 11.4. 1 Nt c acre 1 .14,) 0201 1.13 1-00 .3Q_ QA21.6 4 0,444. 00 ?.R6 1.13 1..00 _3611L Q.29 II 1.13 1.00 id2 for 3. 3. Rotten 0.00 .4Q 1.00 1..0 490 0.00 , 0.00 .30 loo 1.00 250 0.00 v 3. Sound & Rotten Total . Sum of 3 -inch diameters Sound Rotten : : Number of pieces, 0.-n0 Number observations Average duff depths : 0.9.00 . in' Lo 0.110. in' : : 1.00 C). 10 4-00 in. Sum of fuel depths 10 Number observations tn. 0,35 VII VI 111 vi Average diameter ACL a..00 Sum of duff depths: II I Q.60.0 V IV Average fuel depths : : 15 0.27 in. Samrle site description: Covertype; Lodgepole Pine (99%) forested area; 11.21% crown diameter; 11.80 feet average further information; Sparsely forested area with out lands understory vegetation- transition of Pumice Desert to forest Applied Fuel Model: No applicable NFDR Fuel Model was thought. Table 1 1 154 Downed Woody Material Computation Summary Study site # 31 FOREST: FLOCK : _a COMPARTMENT: 3 SUAXPIPARTIMENT 2 STAND: 7 Formulas to compte tonstacre: (A) 11.643n3d2:s4atc 0- to 3-inch material: Nt 11.baSEd2rsra1c (B) 3 -inch material Nt Size class 0 .25 1 .25 - I - Constant n 11.64 50 d2 0_01Q/- 11.64 _6._ Q.336 2.85 2.1f_6_4 Tens/ acre St JAL 1.13_ 1.00 0.20 I .48 1.13, 1.00 1.13_ 1.00 60 S1,23111 1.IItl_ tin -130 1.14 I' 1,0n 25L 12.39 _2_42 . Ed2 for 3 3 Sound 3. Rotten 923 3 Sound S Rotten Total Sound : Rotten ' Sum of 3 -inch diameterS Number of pieces _44...___ 7 __,___ 44 93 Sum of duff depths: in. : _,B- Number observations Average duff depths : : ln I II IV in. VI III 15_ /4.0VI I Avera.e diameter )1 33in. a.45 in. 22 Sum of fuel depths Number observations n_pA 1.14..03 VI V Average fuel depths in. : ; _1..47 in. Sample site description: Covertype; L.P.P.(85%), S.R.F.(10%), and White Fir (5%) forested area; 30.11% crown diameter; 16,20 feet average further information; Sampling site reveals previous forest fire signes. Applied Fuel Model: H Table 42 155 Downed Woody Material Computation Summary Study site # 32 FOREST: COMPARTMENT: BLI)C1'. susawmnmpr: 3 STAND: 1 4 Formulas to compute tons/acre: (A) 11.641n3a2 Xstatc 0- to 3-inch material: Nt (S) 3 -inch material 11.64rEd2X5 5 adc : Nt Site class o - .25 .25 1 Constant 40 Nt 11.14 0.0151 .48 11.64 --Z .2P9 11.64 .40 Z&Zi 1 - tA.13 1,2 _12 0.51 J.Ag 0.43 rf 30 jgi 1J Tons/ acre 211311r id2 for 3 3. Sound 1288 3. Rotten 1633 1.00 1.00 1.00 .250 23.993v 1.00 250 22.81v 3. Sound S Rotten total Sum of 3.-Inch diameters Sound : Rotten : Number of nieces va 67 Sum of duff depths: Number observations Average duff depths : : I in. 16.74, Sum of fuel depths Number observations 07 in. 46.80vr VI 113 49.9ill diameter 17._ 10 II Averavoe __14.. 10.70in. : I V IV Average fuel depths : 52 15 in. 3.47 in. Sample site description: Covertype; Mountain Hemlock (99%) forested area; 88.49% crown diameter; 43.88 feet average Open forest with heavy accumulation further information; of downed woody material Applied Fuel Model: G Table 43 156 Downed Woody Material Computation Summary Study site # 33 FOREST: COMPARTMENT: 1 PLUCK : STAND: suaccrviimmr: 3 4 Formulas to compute tons/acre: (A) 0- to 3-inch material: 11.643nXd2XsAaac (8) 3.-inch material 11.64 trd2 ts5atc Nt tit Size class 0 - .25 .25 1 - Constant n 1.1..1214. J2 d2 11.64 1 3 a s C Tcns/ acre tit (1.1)116 .48 1.13 1 0.328 .48 1.13 1.0 30 0.47 1.10 u 2.84 .40 1.17 1.O 60 1.25tu 1.0Q 1iQa 250 t.QQ i.00 0 30. t td2 for 3 11_64 3 Sound 30 3. Rotten 3 Sound S Rotten Total Sum of 1 -inch diameters Sound Rotten Number of pieces 28 I II I; tv 250 9.29 IV V III 1.1. 13 4? VI 16.2.4vu VI AveraFe diameter ZOO^. : Sum of duff depths: : Number observations : Average duff depths : 9-70 in. Sum of fuel depths : 20 10 Number observations : 15 0.97 in. Average fuel depths : 1.33 in. in. Sample site descriction: Covertype; L.P.P.(70%), M.H*(25%), and S.R.F.(5%) forested area; 40.69% crown diameter; 20e81 feet average further information; Applied Fuel Model: Healthy forest H Table 44 157 Downed Woody Material Computation Summary Study site # 34 FOREST; COMPARTMENT: P.1.1.)CK ; SUa=t1PARTMENT ; STAND: 2 3 Formulas to comp.:cc tons/acre: (A) 0- to 3-inch materiel: 11.640ntd2tsX1Sc 3.-inch material 11.640id20statc Nt (3) NI Size class 0 - 1 11.64 .25 .25 ions/ acre Constant 23a 0.0151 .48 1.13 11.64 1 3 0.289 11.64 8 1.00 24, D.99 .48 1,13_ 1.00 24 2.76 1.44 II a-4z Td= for 3. 11-4 3. Sound 667 3. Rotten 404 L.Q0 3. Sox.' S Rotten Total Sum of 5.-Inch diameters Number of nieces ; 3 _I__ 7,11.ir,. Rotten : 42 _5__ 8.40 in. 7.7 : Number observations : 8 : C).96 Average duff depths in. in. II IV 4 23.95 vi V VI ill 2....14.2 26....767u Average diameter Sound Sum of duff depths: Jon 1.5.Z3 LLD 200 4,82 105 Sum of fuel depths : Number observations : 12 Average fuel depths : 8.1,75 in. Sample site description: Covertype; Mountain.Hemlock (80%), and Shasta Red Fir(20%) forested area; 72.40% crown diameter; 29.86 feet average further information; Grass covertype has occupied 50% of the area in study site Applied Fuel Model: C .,111 Table 45 158 Downed Woody Material Computation Summary Study site * 35 FOREST: COMPARTMENT: STAND: stiamwA.nmat.: Formulas to compute cons /acre: (A) 0- to 1-inch material: 11.645nXd2tstAtc (3) 3 -inch material 11.645:c1205.1aSe Nt Nt Site class Constant d2 S Nt c -u.4 Tons/ acre 0-77 11.64 1-.44 11.64 2 76 3 Sound 1,no 'no 3 Sound S Rotten Rotten 9...10 IV 131 Total Sound 1? for 3. l,12 3. Rotten 11 111 I Sum of 1 -inch diameters Number of nieces : 41 ---.4 8.a.2.ain' : 1! ---3-- ("1.3.3 in. Sum of duff depths: : Number observations : Average duff depths : 19 in. IV III 11.39 vl 15.7au Average diameter :umber observations tn. V VI Sum of fuel depths 8 2, 38 Ii Average fuel depths 26 : : in. 12 2.17 m. Sample site description: (40%) Covertype; Mountain Hemlock (60%), and Shasta Red Fir forested area; 52.20% crown diameter; 31.47 feet average further information; forest floor Needle coverage 1-2 inches on the Applied Fuel Model: H Table 46 159 Downed Woody Material Computation Summary Study site # 36 FOREST: COMPARTMENT! FLOCK STA/II): suecomNimmivr: 11 Formulas to comvute tons/acre: (A) 0- to 3-inch material: 11.64AnX,31Xszaoc (B) 3.-inch material 11.6437:(12 z staIc St NE Size class Constant) 0.2$ - n d2 11.64 _1,52 0.019 11.64 __13 Q.211 11.64 5 2.78 1 1-3 .48 Tons/ acre Al C 1.13 1,a 42 0.38 1.13 1.0 42 0.80 11 1.13 1.ocl 84 0.87111 T Ld' for 3. 3 Sound 11...LA 3. Rotten Laa ?;?.0 9.01 1.04 1-0(4 ,780 2.1.8 5L2 175 Q 3 Sound 4 Rotten Total Sum of 1 -Inch diameters Sound Rotten : : Number of pieces Sum of duff depths: Number observations Average duff depths : _....i. 5.80 In. : in. 14 1.60 V Sum of fuel depths 1 . 19 VI 13_24V11 _141..._ in ?1 `:umber observations in. /1 VI Ill Averay.e 6,114 in. : ?2, LLD II diameter 2 58 29 I IV V Average fuel depths : 2.10 in. Sample site descriotion: (15%) Covertype; Shasta Red Fir (60%), M.H.(25%), and L.P.P. forested area; 73.84% crown diameter; 27.81 feet average further information; Scattered grass on forest floor Applied Fuel Model: Table 47 160 Downed Woody Material Computation Summary Study site # 37 FOREST: COMPARTMENTI 3 PLOCY. snalirmamer: 3 STAND: Formulas to compute tons/acre: (A) 3- to I-inch material; 11.64XnId2XsIatc (3) S.-inch material 11.4407121s0iAc NE At Site class 0 d2 - .25 .25 1 Constant - 82 o_n721 11.64 _22_ 11.64 1 3 s A C tit 1.13 1.00 ?-90 Tons/ acre 2 1.,13 1.00 1._13 L.ZO 2.23111 1..0 i LLag .0.98 Iv -2-4 1_S6 11 Ed2 for 3 3. Sound 12.LA 3. Rotten .40 30. 1 1 .E1-1- 100 1 00 200 S Sound S Rotten Total Sound Rotten : I Sum of . -inch diameters Number of nieces ---.5....... --I-- _.5.,gin. - Z1.35, g)(. Sum of duff depths: Number observations : : Average duff depths : 17.410 in. S a_la tn. II IV V 111 VI 29.61 v 34.619 'if 34,, 4.7vi Average diameter Sum of fuel depths : Number observations : Average fuel depths : 42 in. 12 3.50 in. Sample site description: (20%) Covertype; White Fir (40%), Ponderosa P.(40%), and SRF forested area; 83.59% crown diameter; 24.46 feet average further information; Open forest with scattered downed woody material (most in rotten size class) Applied Fuel Model: C Table L.8 161 Downed Woody Material Computation Summary Study site # 38 FOREST: COMPARTMENT: 15 RL6CX 2 STAND: 1 slisarNIFIrmyr: Formulas to compute tons/acre: s taXc (A) 0- to 3-inch material: 11.64 X n X d2 X NE (5) 3.-inch material 11.64X2d5x$010c St Size class Constant 5 - .25 .25 1 1 _La5 11.64 11.64 3 0-n11 -LA 0.2R 0.36 1.00 1 ,48 2.78 7 Tons/ acre tit c12 1.00 30 1.93 II .40 1,1a_ 1.00 1.71 III Ed2 for 1 3. Sound 3. Rotten a.L...6.4 367 .40 1.00 1.00 250 6.84 Iv 11-64. 566 .30 1.00 1.00 2;0 7.91 3 Sound S Rotten Total Sum of 3Inch Number of nieces diameters Sound Rotten : : a3. 34 Sum of duff depths: Number observations Average duff depths : : : . I 3_95 in. -1- 9.0Q in. 10 1 .05 In. !14.75 V IV III 13,75VII VI Averogc diameter 21 10,57 in- 11 v Sum of fuel depths : Number observations : Average fuel depths : L1.7 in. 1 5 ]). 13 in Samrie site description: (5%) Covertype; White Fir(80%), S.R.F.(15%), and Ponderosa P. forested area; 36.36% crown diameter; 22.33 feet average Healthy forest - downed woody matfurther information; erial most in 5-5 in. size class. Applied Fuel Model: H Table 49 162 Downed Woody Material Computation Summary Study site # 39 FOREST: COMP/AT45NT: PUCK t 1 5 1 SUET" CMPARTKEPIT 4 : formulas to compute tons/acre: (A) 0- to 3-inch material: 11.64 3,1 X d2 tstalc (5) 3 -inth material 11.64Xt.d2tsta0c Nt At 0 Site class Constant .25 11.64 - .25 - 11.64 3. Sound 11.4 a s e acre Az o_n22 -414a, 1-13 1.no 7 0.pc) .48 1....13 1.00 30 0.62 u 2.90 .4Q 1.13 1.00 60 2.54111 7e0 .40 1.00 1,22 250 14.6_9 IV 7,012 .30 1.00 1.00 250 42.07 v 1 -3 1 Tens/ d2 a...z.0 LS' for 3. 3. Rotten 3 Sound ; Rotten Total Sum of 3 -Inch diameters Sound Rotten Number I II IV 111 VI AvCr30C of Siameter : 5.122 in. 15 -71 in. 'la duff depths: : Sum of fuel depths : Number observations : Number observations : Average duff depths : Average fuel depths Sum of 6.76 VI 69Z2./11 V : : 5g in. 3.93 in. Sample site description: Covertype; White Fir (60%), and Ponderosa Pine (40%) forested area; 64.95% crown diameter; 33.17 feet average further information; understory of white fir most 10 ft. tall. Applied Fuel Model: G Table 50 163 Downed Woody Material Computation Summary Study site # 40 FOREST: COFtPARINENT1 arzy. : 15 STAND: 1 SiJEMMPARTMF-Kr 3 Fat mules to compute tons/acre: (A) 0- to 3-inch material: 11.6401Xd2XsAatc (B) 3 -inch material 11.64 X St :d2 tsXaX St Size class Constant 0 - .25 11.64 .25 - 11.64 1 - I 3 1 64 d 2 47- St '199 «44 .27 Tons/ acre 1 1.-1-; .143- 1 00 1 2.A5 1.0o 1.8 1,56 La' for 3 3 Sound -11.1.4 3. Rotten PR2 11, (..; .30 1.00 1.00 241. 22.3610 1.00 1,00 a0.1 2.95 3. Sound 5 Rotten Total Sum of t -inch diameters. Sound : Rotten : Sum of duff 1'7 a" so in. : depths. III 2.96311 VI er 74 depths: II V Average 8,2Z in. Number observations Average duff ':umber of nieces I = IV Sum of htlei depths : ?a ::umber observations : 12 Average fuel depths : 2.713 in. in. Sample site description: Covertype; ?ihite Fir(60%), Ponderosa P.(25%), M.H.(I5%) forested area; 77.33% crown diameter; 31.39 feet average further information; Forest floor is covered with Poi4d, erosa Pine needles or Manzanita brush Applied Fuel Model: U Table 51 164 Downed Woody Material Computation Summary Study site # 41 FOREST: COMPARTMENT! PLI-JCP: I 6 STANU:_ 2, SUPOIDPIPARIMENT a a Formulas to comrate tons/acre: 0- to 3-Inch material: 11.645nrd2Xstaxc 3.-inch material 11.645:412X5Xalc (A) NE NE Site class 0 .25 I - 1 - 3 Tuns/ Constant n 11.4 19 11.64 a 0-238, 11.64 4 3.12 d4 1 1 I. Rotten _11,_,614. Nt 1-15 t.aga 30 0.14 48 1.13 1.00 30 0.40 II .40 1.13 1.00 60 1.09111 410 .40 1.00 1.00 ,2yJ. 7.64 Iv 606 .30 1.00 1.00 250 Total Sum of 1.-inch diameters : Rotten : I 'lumber averoe.e diameter II IV III 8.46 V VI 12.73v11 VI 7AL.61) in' 7,43 in. 2.- 32 3.80 in. Number observations Average duff depths = of nieces 3P Sum of duff depths: Sum of fuel depths 10 : . ,,k,mber observations 0.38 in. Average fuel depths : : 15 Covertype; Ponderosa Pine (99%) forested area; 60.93% 47.41 feet average crown diameter; further information; Healthy open forest c Table 52 in. 15 1.00 Sample site description: Applied Fuel Model: 1 for 3. 3. Sound S Rotten Sound acre La 1..12 3. Sound 3 in 165 Downed Woody Material Computation Summary Study site # 42 FOREST: COMPARTMENT% 1 2 STAND: S118 071PARITTF_NT % Formulas to comutc tons/acre: (A) 0- to 3-inch material. 11.64XnXd2IsSaXt (B) 3.-inch material 11.64XEd2Waxe Nl Ni Size class 0 - .25 .25 1 I - 3 Constant s 11.64 --EL 0-Q.731 _..14.8 11.64 0.243 ;1 lc) 4 _11 a Tons/ acre tit t.no II .4A 1.13 1.0Q 30 .97 _40 L,13 1.00 60 .00 III LLD 1-.110 .25c 242 for 3. 3. Sound 3IA 3. Rotten 16 254 11.22 3. Sound 4 Rotten Total Sum of 3.-Inch diameters Sound Rotten Numbfr of ai= E 36 : I Il IV V III v 6.44 VI VI 10.47v11 Average diameter 6-api- Lc 1 e.a.00 in' Sum of duff depths: : Number observations : Average duff depths Iv : C1_ 60 in. Sum of fuel depths : 10 Number observations : Average fuel depths : 04,96 in. 715 in 15 2.33 in. Sample site descriotion: Covertype; Ponderosa Pilae(95%), Lodgepole Pine(5 %) forested area; 77.21% crown diameter; 47.09 feet average further information; Heavy accumulation of litter on forest floor. Applied Fuel Model: C Table 53 166 Downed Woody Material Computation Summary Study site # 43 FOREST: COMPARTMENT: FLOCK suacovAnmr: 3 2 STAND: 3 Formulas to compute tons/acre: (A) 0. to 3 -inch material. (B) 3 -inch material 42 tit 11.6422422state Nt Site class Tons/ Acre 1 Constant az Ti 0 - .25 a 0.02Q8 4,4a .25 -1 11.64 0- 1- 3 11.64 p.F18 c tit 1.13 1.00 30 Laa c) _40 t-13 Lao 142 for 3 _11_64 3. Sound 3. Rotten 25 1.n0 1-r1c1 250- 221 LJIM 250 3 Sound Z Rotten Total Sum of 3 -inch diameters Sound : 7 Rotten : 21 : Number observations : Average duff depths Numbe7 of pieces Avernc _P__ 3.4a._ in. ...2-- Sum of duff depths: : I 9.20 in. II IV V Ill 0.7 :3,46 VI VI 44..26v" diameter 10.50 in. Sum of fuel depths 10 Number observations 0.92 tn. Average fuel depths 16 : : in. 12 1.33 in. Sample site description: CovertyPe; Lodgepole Pine(95%),and Ponderosa Pine(5%) forested area; 39.24% crown diameter; 18.43 feet average further information; Bitter brush in the openings Applied Fuel Model: U Table 54 167 Downed Woody Material Computation Summary Study site # 44 FOREST! RYJCK : 1 2 COMPARTMENT: 3 SURCXXIPARTEM: L STAND: Formulas to compute tons/acre: (A) 0- to 1-inch material: 11.648,X4205410c (8) 3 -knch material 11.64X:42.45044C St At Size class 0 .25 1 - .25 - I 3 Constant 42 11.4 11.64 14 0.30a 11.64 3 Lill 3. Sound 1 Rotten A 2.80 A-4LO Tens/ acre C LIZ 1.00 30 1...13 1.00 50 9.91 1.t3 1.00 60_ 0,74111 1.00 1.00 300 1.00 500 p ) .40 1831 Sound Rotten : : curler of :feces 39 147 Average duff depths I tv II V 28.61 vu VI Average diamerer in. 10.30 Sum of duff depths: Number observations I IL z3 1.00 3 So aid S Rotten = IV Total Sum of t -inch diameters 0.45 for 1 535 _21..04 .48 1 : : 7, 1Q in. 10 0.71 in Sum of fuel depths in. Number observations tn. Average fuel depths 15 : 3. 1 3 ,,,. Sample site descriction: Covertype; M.H.(60%),L.P.P.(35%),and 7estern W.P.(5%) forested area; 75.88% crown diameter; 36.93 feet average further information; rotten size class Downed woody material most in Applied Fuel Model: H Table 55 168 Downed Woody Material Computation Summary Study site # 45 FOREST: COMPARTMENT: BLACK sueocripAwirTzr : 2 STAND: Formulas to compute tons/acre: (A) (8) 0- to 3-inch material: 11.64 Xnad2 X s X a X c 1.-inch material 11.64X7.42rixaSc NE NE Size class Constant 0 - .2S 11.c.6.4 .2S 1 d2 n 120 0.0104 .48 11.64 _1_ o-736 4a 11.64 .40 z.85 1 - 3 11.6 (414 3 Rotten 1.00 36 1.00 3b 141 u 1.00 72 1.04111 1.00 t.00 300 6.43ly 1.00 1.00 _30L 10.37 -4140 891 3 Sound 4 Rotten Total = Sum of 1.- inch diameters Sound : jiA Rotten : 87 Sum of duff depths: : Number observations : Average duff depths : 0./11 for 3 1:d2 3 Sound Tons/ acre ht Number/ of nieces 1 11 Iv VI Averat;e diameter ._6_ 7,112_ in. 10 8,70 in. 26.70 in. Sum of fuel depths 12 Number observations : Average fuel depths : 2.23 1.6.....a0 VI Y III v in. 64 18 35.56 Sample site description: Covertype; Lodgepole Pine(85%), and Mountain Hemlock forested area; 35.49% crown diameter; 18.62 feet average open forest; no ground vegetation further information; Applied Fuel Model: (15%) H Table 56 169 Downed Woody Material Computation Summary Study site # 46 FOREST: 1 F1.1):K t 2 2 COMPARTMENT: susoommnmqr: 2 STAND: 4 Formulas to compute tons/acre: (A) 0- to 3 -inch material. 11.640nXd2Xstatc (8) 1 -inch material 11.64:Id2ts0a0c Nt NI Size class 0 - .25 .25 1 - Constant 3 d2 s Tons/ acre a 177 0.n201 ,48 1.13 1.00 .L2 11.64 -22 0-44 .14. 1-.13 1.00 11.64 .40 1.13 1.00 4. 1 n 2.87 9 0.53 1 42- 1.14 II 70 1.44 111 .40 1.00 1.00 280 4.19 Iv t.12 1.00 280 6.41 v 0.60 vi L12 for 1 1 Sound 25? 3. Rotten /. ...6.4 1316 .30. 3 Sound G Rotten Total Sum of 3.-Inch diameters Sound : Rotten : Numbei of pisSel 92- Sun of duff depths: III 4.21 VII VI 9r) in. 13.14 ": 6 6C) in. Sum of fuel depths Number observations Average duff depths 11 V Average diameter ji 149 1 IV : 0.147 in. : Number observations : Average fuel depths : 72 in. 21 3,43 Sample site description: Covertype; Lodgepole Pine(99%) forested area; 31.37% crown diameter; 15.97 feet average further information; Ground vegetation about 6 inches tall. Applied Fuel Model: H Table 57 170 Downed .Voody Material Computation Summary Study site # 47 FOREST: 81.40:t 2 COMPARTHENT: 2 Alscammrmyr: 2 STAND: 1 Formulas to compute tons/acre: (A) 0- to 3-inch material. 11.64555425st:ire (8) 3.-inch material 11.64 X242rsrare Nt Ni Site class 0 - .25 .25 1 - 1 3 Constant d2 it s Tons/ acre St c a .11,L1.1. 14_ .0?01 .48 1,13 1.01 11464 11.64 ,344 2.87 .48 1,13 1.01 .40 1.13 1.01 72 1.69111 .40 1,00 1.01 _30 3..21 iv .3S:)._ 10_4_ 1.01 0.52 36 1 0.97 11 Ld2 for 3 3 Sound 11-4 3+ Rotten 173 1083 3 Sound Total Sum of 3.-inch diameters Sound : Rotten : Number of pieces 21 97 Sum of duff depths: Number observations Average duff depths : : : C. Rotten I II 30Q 12.73 v IV V II1 15-44 vi VI 18.62v1: Average diameter --3.-. .7.0in. _12 1,79in. 4.80 in. Sum of fuel depths 12 Number observations : 040 in. Average fuel depths : : 25 in. 1 8 1.39 in. Sample site description: Covertype Lodgepole Pine (99%) forested area; 21.24% average crown diameter; 17.72 feet further information; Open forest; large downed woody material in rotten size class exceeds that of sound class Applied Fuel Model: H Table 58 171 Downed Woody Material Computation Summary Study site # 48 FOREST: 1 COMPARTMENT! 2 Rtficr, : 7 SUSO:NPARrroln 1 7 STAND: Formulas to compute tons/acre: (A) 0- to 3-inch material. 11.64 ShrdiSstalc (B) 3.inch material 11.64 XidiXsSaac Nt Nt Site class Constant .25 .2S - d 2. 0.0 20 1 _al.& 1.13_ 1,00 11...61+ 11.64 1 - 3 St a 0.344 13 I 2.87 11,..6.4 Tons/ iCre 24 0.41 .1+8 1.13 1.00 24 1 .118 :1 1.73 1.00 ,48 0.94111 .40 Ldi for 3. 3 Sound 372 -11 3. Rotten 1.431 lAgg .3n Lop J1a I10 .83 1.nn 1-nn 3 Sound 6 Rotten Total Sum of 3.inch Nunbc f diameters Sound Rotten 5c1 : 108 Sum of duff depths: : Number observations : Average duff depths : a-- 6.25_ in. 1-1-- 9..B.2_ 4; _4O in. g 0.85 II Iv V ' + Ill 6VI VI Average diameter of pieces : I 5-Q3 Sum of fuel depths : Number observations 1 Average fuel depths in. : 1.50 I Savoie site descrdr)tion: Covertype; Lodgenole Pine (99%) forested area; 65.25% 20.40 feet average crown diameter; further information; Understory of Logepole Pine regeneration. Applied Fuel Model: G =1.101M=. Table 59 172 Downed 'iVoody Material Computation Summary Study site 7 49 FOREST: 1 11 P.U.sSY. COMPARTMENT! 2 SUSCalPARITIEPfr 2 STAND: Lt Formulas to compute tons/acre: (A) 0- to 1-inch material: 11.64InX525S5a5c (3) 3.-Inch material 11.64Xrd205.taIc At Size class o .25 .25 I Constant - n di 5 a c 116...4 3 L. ..Q.0 11.64 _..6. 2.7 5 1.13 1.co 1..29._ 1.00 ,.30 10.0 25Q 10.43 1.00 2.5.g 4..3 6 331 ALf 3. Rotten 247 1 Sound G Rotten Total Sum of 3 -Inch Number of nieces Average Diameter 31 --14 7.-7-5-'" 45 ....3__ 8.13-' n. di :esters Sound Rotten : : Sum of duff depths: : Number observations : Average duff depths : .Z .CL .40 for 3. tide 3. Sound Tens/ licre Lao 11A64 Z.5. 9,n151 I tit sum of fuel depths 10 Number observations 1 .56 in. Average fuel depths " vr II 15.k) i, V IV za.._3 1 29 15 : 1.33 in. Sarncle site description: Covertype; M.H.(55%), S5 R.F.(40%),and Grass(5%) forested area; 83.64% crown diameter; 26,81 feet average further information; Patchy grassy areas; open forest Applied Fuel Model: H Table 60 173 Downed Woody Material Computation Summary Study site # 50 FOREST: 2 COhIPARTMENT: 1 PLLCX 1 STAND: 1 SU2COMPARTMEN'T : Formulas to comrute tons/acre: 11.64X3Xd2XsX,Xc 3-inch eacerial: (A) 0- to (5) 3.-inch material NL 11.04 SZ,I2 XsXaLc Nl Site c lass Constant n d2 s n m C 0 - .25 1164 11:1_- 1..aa 3.....26 ..2./..i. .2S 11.64 _La_ 0.289 .48 1.15 1.06 __.1.... 2-7g,_ 1,..13. L.D.b 1 - 1 3 2...1.13_4 0-0151 .4R. ..11. 3. Sound 11 i-:,4 209 .40 1.13. L.a6 3 Rot ten 11 4_&14 41 ,30 1.11 Total : Rotten : Number of pieces iii 7 2._ Sum of duff depths: Number observations Average duff depths : : : 0.27 0.81 1- 2 R I 1.70 in. IV III in. 5.92 VI V 8.28 vu VI Averote Jiamerer 7.112. in. 4.. 50 se. Sum of fuel depths Number observations 5 0 21 I %00 5,16 6 3 Sound S Rotten Sound _.41.1. acre for 3. '1:.12 Son of 1 -inch diarelers 24 Tons/ Average fuel depths 73 , : in. 7; 1.08 in. Sample site description: C overtype; S. R.F.(5o%), White Bark P.( 40%), and M.H. ( 10%) forested area; 29.03% crown diameter; 21.75 feet average further information; Sparse grassy areas over 70% of the forest floor Applied Fuel Model: A Table 61 174 Downed Woody Material Computation Summary Study site # 51 FOREST: COMPARINEWr: PLIXK 11 STANO: 3 3 SilaCOMPARITIEN1' : Formulas to compute tons/acre: (A) 0- to 3-inch material: 11.54 Intd:tstalc (8) 3.-inch material 11.640:IA21543Se !it 61 Site class 0 . ZS .25 1 - - 1 3 Constant n di x s j c 'ens/ acre `it 11.84 1)33 r) r)15- -.43 1.13 1-01 11.84 :n 1.0..-48 3/3 0-2R4 _._413 1.17 1.01 _IQ_ 1-'....33 114611. 1E; 2.76 .40 1,13 1.01 60 3,211 1.01ILQ 1.01 ..00 II L32 for 3 3 Sound 7 7 64 285 .40 1,13 3. 11,:gi4 1359 _. 30 1,13 Rotten _ 3 Sound S hot ten Total Sum of .1. inch di arreters Sound : Rotten : Sun a observat ions Average duff depths II Ill VI ipc).45 VI j47, Avoravc diameter 11.29 in. Sun of fuel depths : : 10 Somber observations : 2.20 in. Average fuel depths Samtle site descrittion: Covertype; Shasta Red Fir (99%) forested area; 89.83% crown diameter; 26.81 feet average further information; --- Applied Fuel Model: V 72.,_ in. Z._ 79 of duff depths: Nuinbcr :umber of "totes I IV 4.47 1_5.=28 H Table 62 : 4.73 1 ?VII 175 dy Material Computation Summary Downed Study site # 52 FOREST: 7 Pz.r.cr. t COMPARTMENT! p SUEOZTIPARIT.SIST : 1 STAND: Formulas to compute tons/acre: 11.64InVd225010C 0- to 3-Inch material: (A) Nt 11.63 2rdsrate (5) 3 -inch material Nt Site class 42 Constant a o - .25 11.64 125 0.01E .25 1 11.64 0.330 11.64 P.A4 1 - 3 .,48 I .48 it c Tons/ acre Ipo 2259 1 1.13 1.00 1.18 lI 1.13 1.13 Laa 1-49 " 1 Ed2 for 3 3. Sound 3. Rotten 1112 2.1.44 -.141 Lao 16 i_no a5n 1.0.0 '50 3 Sound 4 Rotten Total I II V IV 0-27 2_8.6 VI Ill IV P1 43 VII .6.. Sum of 3Inch Sound : Rotten : diameters Nunbet of pieces 20 -2 4 Sum of duff depths: Number observations Average duff depths : : 3-7 6.67 in. 4 1 : AveraFc diameter in. 10 n.37 in. in. Sum of fuel depths : Number observations : Average fuel depths : 22 15 1-47 in. ,Samrle site description: Covertype; Lodgepole Pine (75%),and Mountain Hemlock(25%) forested area; 37.16% crown diameter; 17.61 feet average further information; Open forest; understory most are mountain hemlock species Applied Fuel Model: H Table 63 176 Downed Wo o dy Material Computation Summary Study site # 53 FOREST: COMPARTMENT! 7 PLIIK:11 : STAND: skAareAmmayr: 2 Formulas to come to tons/acre: (A) 0- to 3-inch material: 11.64tritel2tsta0c (5) 3 -inch ziatcria1 11.64Xtd2EstaXc NE Nt Size class Constant n d2 0- .25 .25 1 tit r.0151 11.64 I 3 _12 0.28g 11.64 _11 12.76 0.42 1...1.3. 48 14.11 .40 la_LL Tons/ acre laao 1.03 2.66 III La' for 3 3 Sound 1 1 i=+ 0/0 676 3 Rotten 11 ..L.(+ 1412 LLQ 1.001 250 I. Sound S Aotten Total Sum of 1.-inch diameters Sound Rotten Cumber of pieces 3 58 A : Sum of duff depths: 1 - 11 IV Ill diameter 72.5. In. 1 2....a0. in. 13.10in. Sum of fuel depths : 12..._ Number observations Average duff depths : 1.31 in. VI Avcriigc Number observations : 12.39 tv 1.02 2.5C) Average fuel depths 39 : in. 15 2.60 in. Samnle site description: C overtype; Mountain Hemlock (99%) forested area; 42.68% crown diameter; 26.74 feet average further information; Open forest; some scattered lare downed woody material on the forest floor; ground covered Applied Fuel Model: C with annual grass) 75% Table 61+ 177 Downed Woody Material Computation Summary Study site # 54 FOREST: COMPARTMENT: RI.()CK SUSODMPARTIENr : 5 STAND: 1 2 Formulas to compute tons/acre: (A) 0- to 3-inch material. 11.640110d2xsxa2e (B) 3.-inch material 11.64:w2ssXaSc Nt Nt Site class Constant n d2 a s Tons/ acre Nt c 0 - .25 71 0.0109 .1e8 1,11. 1.00 0.30 .25 I 6 0.341 .48 1,11 1.00 0.43 Ii 1 - 3 P.A6 10 1.13. 1.00 60 0.25111 W2 for 3 3 Sound 1 1 , 64 3. Rotten 11-114 116 .4Q laao 1.00 a.w__ s,17 .3Q 1,20 LO_D Z3c)__ 1.6Z 3 Sound G Rotten Total Sum of 3 -Inch diameters Numbe'r of pieces Sound : 14 Sum of duff depths: : 3,4_ in. _.2__ in. Number observations : Average duff depths : A_rdl III Number observations in. 1_79 VI 2,22 VII VI Sum of fuel depths in. 10 C),8 II V Average diameter __I__ 1 Rotten 1 IV IV Average fuel depths 9 : : in. 15 0.60 an. Samtle site description: Covertype; Lodgerole Pine (95%), and Mountain Hemlock(5%) forested area; 18.12% crown diameter; 14.15 feet average further information; Patchy annual grass in the openings Applied Fuel Model: U Table 65 178 Downed Woody Material Computation Summary Study site # 55 FOREST: COMPARTKENTI SLOCK P S1J807,1PAICINIENT 4 : Formulas to Comute tons/acre: (A) 0- to 3-inch material: 11.64tntd2tstatc (B) 3.-inch material 11.640rd20statc Nt ht Site class 0 - 11 .25 .25 1 Constant I - 4 d2 n 4 Tons/ AOre a 0_0101 A9 11.64 0.311 11.64 2,85 30 1.00 .48 1.13 1.00 (1.2R 0.96 II 0..25 HI 1.41a Id2 for 3 3. Sound 11 314 4 3 Rotten 1.00 1.00 .30 170 8L._ 3 Sound I Rotten Total Sum of 3 -inch diameters Sound Rotten : : Averave diameter 12 11.00 in. Number observations Average duff depths II IV 5.1%5 V III =, P3.F6 v 1v1 VI 3a.ay.1 8.50 in. 132 Sum of duff depths: I Nunt4r of pieces 4 250 230 1.00 : : : 12.00 in. Sum of fuel depths in. Average fuel depths 10 1.20 Cl : Number observations : : in. 15 0.60 in. Sample site description: Covertyp e;Lodgepole Pine (80%), and Mountain Hemlock(20 %) 58.20% 20.34 feet average crown diameter; forested area; further information; Young regeneration of both species grass in the openings Applied Fuel Model: H Table 66 179 Downed Woody Material Computation Summary Study site # 56 FOREST: COMPARTMENT: 3 PLUCK sisarpApringr: 3 STA)IU: 4 Formulas to compute tons/acre: (A) 0- to 3-inch material. 11.64ta3d2Xsxatc (8) 3 -inch material 11.640:d21s.taX c Nt Nt Site class 0 - .25 .25 1 - Constant 3b0.. 3 Tons/ acre az p.a15. 11.64 20 .292 11A1+ 10 ,77 -1-u 1-.17 1..00 j.2.3 _L141) 1,13 1L20 .210 1.00 1.00 250 1.00 1,..09 a:43111 Ild2 for 3 3 Sound 1 3. Rotten 1 r-,L4 1049 1551 3 Sound 4 Rotten Total = Sum of 1.-inch jiameters Sound Rotten : : Number of ptcccs 95 _1_1_ In5 I II ;50 IV Ill V 19.54 Iv 21...66 11 20 vl 46.403VII VI AveraEe diameter 1...Ei4in15i...1.3 in Sum of duff depths: : 12.0 Number observations : 10 Average duff depths : 1.20 in. Sum of fuel depths 31 in 2.07 in. Number observations in. Average fuel depths Samule site descri'ation: Covertype; M.H.(90 %), L.P.P.(5%), and S.R.F.(5%) forested area; 94.22% crown diameter; 31.90 feet average further information; and continuous Applied Fuel Model: Clusteres of downed woody material G Table 67 180 Downed Woody Material Computation Summary Study site # 57 FOREST: pLocx 1 COMPARTMENT: 1 SJPICCPIPARTIKENT: STAND: 1 2 Formulas to compute tons /acre: (A) 0- to 3-inch material: 11.643nXd2ts1 aXc (B) 3.-inch material 11.6437421s3a3c Nt Nt Site class 0 .2S .25 1 f - - 1 I 3 Constant n d2 $ 11.64 40- 0-n151 -.143 11.64 37 0-;..1P9 413 11.64 4-- L_1 I-21D 1-00 Lao 250 Li._41 Lao 1.00 td 2 2-211_ 11...L4 544 L.110 3. Sound S Rotten Total Sun of 3 -inch diameters Sound Rotten : : Number of ,feces C)1 1 Sum of duff depths: Number observations Average duff depths : : : 0.4 1-0Q1 30 P.25 .30 3- 39 "' for 3. 3 Sound 1 Rotten Tons/ acre Nt c a 1 II v IV III v/ . 3r)..;ovii VI averai.,u diameter 11 8.27 m. q 9.0 in. 1 1 _n0 in. Sum of fuel depths 10 Number observations 1=3 Average fuel depths.: 2.07 1.10 i, lv : 31 in. m. Sample site descrirtion: Covertype; M.H.(85%), S.R.F.(15%), and W.W.P.(5%) forested area; 63.23% crown diameter; L2.47 feet average further information; Forest floor covered with annual grass of 4-6 inches tall Applied Fuel Model: H Table 68 Downed Fuel Variation Within Dominant Species of Crater Lake National Park Cover Type No. of % canopy area Sites forested Studied Min. Max. Crown Size (ft.) Min. Downed Fuel (Tons/Acre) Max. Min. Max. Av.(all sites) 21 17.33 97.77 24.95 42.48 9.87 91.67 40.21 White Fir w/ Ponderosa P. 3 36.36 77.33 22.83 33.17 18.75 60.22 36.21 Shasta Red Fir 6 58.40 89.80 26.80 43.20 13.24 51.16 28.27 Lodgepole P. 18 11.20 88.90 11.80 29.00 0.35 39.29 17.73 Ponderosa P. 2 60.90 77.20 47.10 47.40 10.67 17.75 14.20 13.00 15,00 22.20 22.20 6.26 6.26 6.26 29.00 83.60 21.80 34.40 7.92 34.47 Mountain Ilemlock Grassland w/ sparse forest Mixed forest 6 (all above) Forests where dominant species comprises less than 55% of the stand. Table 69 34.40 182 Chapter Summary In this chapter data acquisition processes utilized in this study have been discussed. Data accumulation was in several categories as follows. 1) Digitized Landsat MSS data recorded on CCTs were secured. These tapes were acquired by Landsat 2 on September 10, 1974 over Crater Lake National Park. 2) Digital Terrain Tapes from National Cartographic Informa- tion Center (NCIC), in Reston, VA were purchased. These tapes were also on CCT format. These NCIC tapes contain data on elevation which were converted into a digital topographic map, and digital slope and aspect maps of the National Park region. 3) Color infrared photography was utilized. This brief dis- cussion included descriptions of major characteristics of color infrared photography versus normal color photography. The readers were also provided with further information on different scales of color infrared photography utilized in this study. 4) Field data acquisition techniques comprised the major section of this chapter. Sample site selection strategy involved in locating sampling sites within the Park with regard to fuel moisture detection, and inventorying downed woody material was discussed. Fuel moisture pattern analysis of the Park was also included in this section of the chapter. 183 5) In the final section of this Chapter 5, a downed fuel inventory and fuel data calculation procedure were discussed. Finally a computational summary and results of field data on downed fuel were tabulated in appropriate tables. At this point, with availability of data from "ground truthed" areas, computer assisted analysis of Landsat MSS data could be applied to Crater Lake National Park's surface cover types. Through this analysis, surface cover types of the Park are to be classified. Further analysis of Landsat MSS data included classification of downed fuel amounts under dominant forest types within the National Park. Color coded photographic products from the results of these classifications cover the final section of the ensuing chapter. 184 CHAPTER 6. COMPUTER ASSISTED ANALYSIS OF FIELD DATA AND LANDSAT MSS/TOPOGRAPHIC DATA SETS Data acquisition processes were discussed in Chapter 5, and it was noted that we obtained various related data sets with regard to the objectives of this study through two basic approaches. A set of data were acquired through field observation, within Crater Lake National Park, while another data set was digitized data on Computer Compatable Tapes (CCT) obtained from appropriate agencies. In this chapter the collected data are analyzed. The process proceeded through utilization of computer systems in two major stages. Pre- liminary data analysis was carried out on the Oregon State University computer facilities, in preparation for final analysis at the Berkeley Spaces Sciences Laboratory, Berkeley, California. Due to complexities involved in the analysis of a Landsat MSS/ topographic data set, analysis at 0.S. U. computer facilities was not entirely feasible. Therefore, decision was made to primarily utilize the interactive computer system of Berkeley Space Sciences Laboratory. Preliminary Analysis of Data at Oregon State University Throughout the field observations it had been noticed that variations in the amount of downed fuel within DFSAs occur in accordance with forest species, forest density and crown maturity. Dense and mature forests had larger amounts of downed fuel than 185 less dense forest with younger forest canopies. Within a given species, density and maturity were found to be the most dominant parameter with regard to variation of the amounts of downed fuel. Between species, however, with similar maturities and densities, downed fuel amounts varied. For example inventoried field data had revealed that everything else being equal, Mountain Hemlock or Mountain Hemlock/Shasta Red Fir forests in general tend to have larger amounts of downed fuel than Lodgepole Pine forests (see also table 69). The primary objective of data analysis at Oregon State Univer- sity computer facilities was to indicate the feasibility of the foregoing argument by Landsat 2 MSS data analysis. To start with, if was decided to generate a gray scale from Landsat MSS data for the study area. Gray scale is a black and white image of a scene which indicates brightness variations of scanned area in a calibrated fashion. On a gray scale lighter tones indicate higher reflectances from the scanned cover types, while darker tones represent lower reflected values of the scanned areas sensed by MSS system. Such an image provides the interpreter with MSS data with a general view of the area to be studied. For the purpose of this study a gray scale from the major portion of MSS data of the study area for'September 10, 1974 was generated. To curtail the cost of the study, gray scale generation 186 of MSS data for whole areas of the National Park was omitted. As a result, the generated gray scale image covered the entire Park and vicinity except for a small region in the northwest corner of the Park. Locating twenty ground control points (GCPs) on the 1/62,500 USGS topographic map of the Park and vicinity with corresponding points on the gray scale image of the National Park, the map was registered on to gray scale image. Ground control point locations utilized in this study have been depicted on Figure 32. Locations, column numbers, and scan-lines of twenty ground control points with corresponding Universal Transverse Mercator (UTM), Easting and Northing coordinates have been presented in Table 70. Through multi-variate regression analysis, locational registration errors of not more than one half a pixel area occurred for any control pixel. Regression analysis procedure and its results have been presented in table 70-A. Having the topographic map of the Park registered on to gray scale image of the study area, we were able to locate downed fuel study areas (DFSAs) on gray scale image. This phase was accom- plished by a computer assisted program in which the UTM coordinates of DFASs were given to the computer and pixel or column and scan- line numbers of those areas were obtained. These numbers then were matched with the symbols of 59 surface cover type classification of the Park (Walsh, 1978), and their corresponding explanations. Characteristics of DFSAs obtained thus, then were compared with 0 IN4 -Irwa Cti , , 1. 4. -.... A A 1, '7411k. : ).-.... A,1! ' t i 'A..., let/ AA ' N'N.-.' I - s, 11,41,4: '4 it , 4 Es t I /(. 444 411: r- ko",-- I /P- 1 _ Q , t 1 N 14.-N a) 0 El° çxt4 188 UTM Coordinates and Locations of Ground Control Points 1 127 1062 572008 4770843 HWY 138 East 2 103 1050 570913 4772095 HWY 138 West 3 122 1124 570449 4766192 Pumice Desert(north) 4 107 1165 568780 4763213 Pumice Desert(southwest) 5 176 1147 573000 4763772 Pumice Desert(southeast) 6 290 1141 579488 4762898 Northeast Park 7 152 1243 569655 4756669 Crater Lake Rim(Marriam Pt.) 8 173 1226 571157 4757724 9 209 1216 573402 4758071 Crater Lake Rim(Llao Pt.) Crater Lake Rim(Pumice Pt.) 10 244 1212 575441 4757984 Crater Lake Rim(Pilisade Pt.) 11 168 1281 569776 4753575 Wizard Island 12 44 1356 561299 4749268 Castle Creek 13 73 1346 563118 4749654 Castle Creek(North Fork) 14 90 1360 563787 4748425 Castle Creek(Main) 15 431 1373 582466 4743370 Union Peak 16 116 1437 563575 4742188 southeast clear cuts 17 462 1373 584228 4743031 southeast clear cuts 18 342 1445 576074 4738898 Pan-handle 19 325 1131 581614 4763224 Northeast Park(edge) 20 256 1406 572079 4742898 East Fork of Annie Creek Table 70 189 Computer Printout of Map to Gray Scale Registration SREADo*HASSAN,7...10 SSET 12.(T-244. )*0.1 SSET 2 C8 1212. )20.125 SSET 32(9-575441 )20.0E1164 SSET 42(10-4757984. )20.00164 SREGRESSPI,24 YC I) 2-4.3500E+00 :ADD ,3,4 YC 1) 2 1.8103E-02 41.0350E+00 X( 3) ...2:7959E-01 XC 4) :RESIDUAL OBS. C VALUE 1)= 2)= 5.40138572E-03 3.81553557E-02 1.90365971E-02 C 3,3= C 4): 57= 6)= 1.39453525E-02 7)= 8)= 1.75984344E04 3.44090855E02 C 9 }= 1.71793664E02 C 10): C C C 11)= C I 2 )= C 13)2 C C 14): 15): C 16)2 C 171= C 18) 2.07218265E.-02 -3.431 5937 5E -02 1.81033710E-02 2.39122575E-02 -9.81 64202 6E -03 .2.04221846E-.02 ..1.95311941E02 5.65475780E...02 C 19)2' 8.0-4511649E02 1.02575631E-02 -4.41273029E-02 6.45894744E-03 C 20): -2.88178537E-02 Table 70a -- Pixel 190 :DEP.2 YC 2) =-2.8810E-02 -1.9876E-01 X( 3) -9.3778E7-01 XC 4) :RESIDUAL OBS.' I)= C 2)= 3)= ( 4)=L 5)= 6)= ( C 7)= 8)= 9)= I0).= C I1)= 12)= 13)= 14)= 15)= 16)= ( 17) ( ( C ( ( ( C 15)= 19)= 20)= VALUE -6.36282950E-02 4.96179238E-03 2.51453379E-02 2.45288918E-02 9.82769486E-03 3.05250762E-02 -4.64921707E-03 -1.75010010E-02 -2.03388935E-03 2.88101494E-02 2.63'49797IE-02 1.41424038E-02 -4.92719896E-02 2.86490857E-02 -3.19952886E-02 -7.70179369E-03 2.09964411E-02 6.67508505E-03 -2.50949918E-02 -1.87292942E-02 :END Table 70a(continued)--Scan line 191 SREGRESS.3,1-244 yc 3) 2-5.4539E+00 :ADD.1,2 Y( 3) =-2.4447E-02 -2.7246E-01 X( 2) +9.1384E-01 X( :RESIDUAL CBS. ( 8): 9)= 10): 11)= 12)= 13)= 14)= 15)= 16): 17): 18): 19): VALUE -2.22545684E-02 -3.35137853E-02 -1.05572629E-02 1.93863362E-02 2.16378828E-02 ,3.97967201E-02 -1.46286306E-03 -3.62241777E-02 1.51680068E-02 2.44467056E-02 2.89939679E-02 1.26534835E-02 5.09630935E-03 2.55202134E-02 -6.02511873E-02 -7.57628377E-02 -3.48688709E-03 4.21840491E-02 -1.25867182E-02 C 20) =. 2.121'66149E-02 C C 1): 2): 3)= 4)= 5): 6): C C ( ( ( ( ( ( ( 7)= Table 70a(continued)--UTM'Easting 1) 192 =-2.5574E-02 -1.0086E+00 XC 2) YC 4) -1.9369E-01 XC :RESIDUAL 085. 1)= ( C 2)= 3)= 4)= C 5)= 6)= C 71= C 8)= 9)= ( 10) = ( 11)= 12)= 13)= 14)2 15)2 16)= 17)= 18)= 19)= C 20)= C C C ( C C VALUE -6.30646353E-02 1.24608492E-02 2.90887551E-02 2.20607207E-02 5.93715347E-03 2.41977423E-02 -4.65731876E-03 -1.09795363E-02 -5.36258943E-03 2.55742182E-02 2:19301477E-02 1.23015032E-02 -5.37047642E-02 2.50561680E-02 -2.13318234E-02 7.73173338E-03 2.31481227E-02 -1.86884543E-03 -2.39943413E-02 -2.45232643E-02 :END Table 70a(continued)--UTM Northing 1) 193 color infrared aerial photographs, and field observation information. If agreement existed between field observation information and color IR photographs on one hand and corresponding gray scale image, and classified definitions of 59 classes of the surface cover types on the other, then we made certain that, the selected DFSA on the Landsat data had been located correctly; otherwise further adjustments were necessary until satisfactory results were obtained. This procedure enabled us to locate 56 out of 57 DFSAs within the Park on Landsat MSS data. DFSA number 57 was located in Boundary Springs region in the northwest corner of the Park, and as it was noted earlier generated gray scale image did not cover that portion of the Park. At this point there was information on all pixels within every DFSA, and sampling sites covered an area much more than a pixel size on the ground. To be sure that extracted Landsat MSS values would be accurate representatives of areas within DFSAs, eight surrounding pixels of the one already selected pixel were also included and their spectral values for MSS bands 4, 5, 6, and 7 were extracted from Landsat MSS data tape of September 10, 1974. In preparation for an investigation of the possibility of correlation between forest cover type characteristics, and amounts of downed fuel by means of Landsat 2 MSS data, twenty-nine parameters 194 were established. These parameters with their relevant data are tabulated in table 71. Explanation of parameters in the table from left to right other than study site numbers (first column), are as follows: Columns 1 through 8 describe the percentages of forest cover types within DFSAs. As were was mentioned in Chapter 5, these estimates made through on-site observations based on the assumption that a correlation exists between proportions of live forest stand and downed fuel composition laying on the ground under those forest types. The abbreviations from left to right correspond to Lodgepole Pine, Shasta Red Fir, Mountain Hemlock, Ponderosa Pine, Western White Pine, White Fir, Whitebark Pine and Grass. Columns 9, and 10 show forest density and crown diameter to the nearest one tenth of a percent and to the nearest foot respectively. These parameters were calculated through photographic interpretation of color infrared imagery. Column 11 indicates the amounts of downed fuel in tons per acre calculated from field data. Calculation procedures of these data tabulated in columns 9, 10, and 11 of table 71 were explained in data acquisition section of this study (Chapter 5). Columns 12 and 13 describe aspect and slope of each DFSA in whole degrees and to one tenth of a degree respectively. Column 14 shows elevation of study areas in feet. Column 15 is the amount of solar insolation in gram calories per square centimeter (Langleys) per minute to the 195 Table 71...Parameters Established for 56 DFSAs and 47 Non-forested Areas Within Crater Lake National Park Cot -4.. t 65 i 2 * IR C. . A c- cc ..4 C6 3 4 5 2 * * * * .., -- k ''' Z k Lk. 7 1 2 )0 ... 1,R 12 e 1.c -0 -taall; i., lti It ir, t, 42 ''' ;'. .9 Si , c ey 12 11 1 a-...IN *----7:,',6°' .0 ::_- c? r, t .- ?.". :". .+Z;;,:j - o % c c-i?'.itz m .1).' ,I., CZ s I' '. L',0%,Z IR .... ,... C: c.. 11 ,, c t3c 1.t .2 -c .0 :°.. ,c, c 4 N c 413 to ; .S i .s, Z 6 2. i-. 71 ',- - `Z t,2;,_ p ..` :52, '.. Z: N ,,. o. u-, ic) Z(":- --- pi 0 i 996 ato 0411:11-stif 01120101439 k 7Z2971330632550010936130.1.2006.8021090013308301. 7866713320010 0 ea z9 gla a a a 010010010010112131512178000100057531092 678E130E0131 097612308601720641331.950 10 031012070001400000062743136750900406250036115230.000190310430.531030131470530361620q1 04101602000001000006021,3130231090023645039645000911118221110011E510 8 213 1 3 6I050033166k10 04250 E337014040.QCIGOaGiii.32635261.1000100,26750009211.511.4.0330.7761044,146485101450530.3517010 0 00610111039100001000,01.652 652T 0030023750009343600.963125304160011300780123137611231560 CO 130700164/4.04010010000564 429811115,0357000096116441120012C2a131.11137061E.112505*032115400010' 08:10001016C100100110701.30 206268.80109 050102r6419.231263311656105107,31:12610761200.5310010 0332010017041001000.13.00761. 32633060134470 ea o 95 667102211876:117815310 93013305408745 VIGO 0140013516010C10010010500604130034603004, 625090 486 050117031056814210841015106011061178004. 0/11000519- -001001700137 1319 7 0 400109 00011.78649144510351016610561031.9500 012201504303001001400013541341264fa 20107/ 3501/04 5630.0170.633033315608610170055..0v0.3610014 0131990010000100101310001.670285168460027169001075 538133501168310878162103 /10176105610*319 0010',4 0141101051650010000100007032825093600571660010851150009630.7661090015608401670541.1071193010_a 015001001334010000k1001719g 7227727010 730010761151 0831166710867140103110175065112519200103 016100013910100001000117$0909672701067 75010021151 9660.63609661.51093015305 G00.864030 0171000139 ti010000100011625624573123513 635010841151 385611711.06831 77063101701050096C9700104 0161330313 001000131000117101371647*060036 25010950.478138761163108 E7163109110170105410118800100 13151001650E 5331091111656408561166109301731055106133001031 10201303017000100001000C16332526251140014030002 67 1660.9,7110014106510152106 1 14 1021139000 00010000100 12581150.73312300211610 a 9 62 317090.6111121133113160107511330.77100103 022750025001001001000006343;111% 8005759001393 610111901177005 304390910173106711261.9000100 0231651001150010000100005722_9132200010001615010921656417611600,03541103210173106R1.23168100100 026123140140100000100000'6423D 79213101053 75010611,6220.16717760,,6439451016710661211640010 026130001101400001000016632322791000100 -7000 i215330.122117561091113710671016806711231.941001001 7154o9zto 1 a 21060,111166101310 02310070r30010010010040164/136511622504715600310.26710944.174411011b.661090/0155105403317310310.0 0243 035t10 -001000500166607179615033652000361152303391822110561154084101441154-09417311010p 0304330000000001000=120.2003 0001000 0001092 30.6 _49671300L11095101661066.16319710010, 03116510001w0-000510010C3011160.540 801011 100092157612561175" 09670.26450016310721301.82000C 6646313880173054,1061370010; 033174351250Z 010010000407 11162 7013761625010611162211133113221095611431363017006Z119'19111 WOG 034100120E30 OZ0100100100V2* 01287609014;3 625005n55w 96 9(.168 11145708 2014010 sua 9a7 ao ape 3351001436000000040001522 2115721160140 06741.311383015106511160.780000 501012 4001094 634269204 16912746010137D 631660.720010.0 037100 0304G:004010001:163612534470900275100096151110933132 10046210731013704431065117500010 038100 5130. 540601000 M36423487515001 7000951.1622109672133124446610761313010510780.71J00100 034003000 DOG" 01000016493360220900/ 5460010v 6,163840381196611664560821013813,21087116710010C 0401000015 500600000E773E31E965A 200201450009,700, 1782067r1678.44082101461057101117n00100 D4110010000 90000000116394711773100000015750092176 1,502117120002206342147106612117600100 o4aascon cC)013010000772),711.0071u 900061,200033170 4322.204412004293631142106,111117010010C 04 3513000 "540' 010000Z920.61342610000001525009211750' 43849600.67511221090016M 74134161J° 0100. 04 3513016000130051600675307286 60050630010561166 244116334G 228. 25109010162/06812217900100 045 510045;i0G 00 010 OG035549086' 06001 20010331166 ,.4671/66905894 /4088111690761460.9 /010100 04613900410k50:00 0100121416242 004 00 05013920.8 /11469205610641122066101660727370.69010010` 0471.39000000.t,0 000101E2/20.61186 060006 35 321171 165711157C.17092016210731.33176101010C: 0.509p0 0..100 000016-2g0092 60 13-000093116204220A 6 ,..00011330911162063122178(0000! 5 0 0 00 0 t 0105E30 72034)270063" 5000831.150 P9111611 933tt 65033 1611050038134000Ci 050100 0 06010 LI 0.00023G 20893127013 000 711162211467 2634367 241380 133064107167000G: 061100 3 000;00100.10001630 7E71712 /4 55 600940151310966 81313950 5313831015905410401910010t 05275 0 50.000010010037211806031270 3 30006711625 /103 850100E 4810881016310531101850000' 0100101427g 7364221004 54083014.8105*D*38178000L 05495 0050a00113GLO 134610.40277P 00000 4501092.160016001203617966413C88 05560001204010013000 062.R0130601135132 Z001096/63 2564633-02213008 v 1601069.&231790000 053"OG 04391000 G*64506300010E0100 OF,42326603000100016.11100921561110011722113956441t90131630641.151.6 DO 0011 196 Table 1C2/. 12 71 ( c ontinued) 3 456 7 8 9 06 % z>4R lj Ct. kt. e ' ,F: e. .- k Cc ... k 5 58 9 --i Iv) 1 flog 0 061 462 063 64 02 366 67 161 aro 071 372 473 1074 N75 76 ji 79 083 0431 32 d3 84 085 O*6 037 088 083 033 091 092 033 094 035 346 997 038 099 100 101 132 1031 1041 1 CL ,L° g * '.. 0'cl k . 10 1112134 151617 2:_- >. rst c'. 5 c) Z (.13 r, (:, z; ---- 1-..-,.. z.z.-_c? t ''..? CD 3 Z, C') tl l', c c c .O. 4 , I x ,-;`, .1 q , k Ci, '" c.) 0:, ..tc: "C ° '1') 'c'S ,,, F_ '' . M N 44). :::: F, "J c o o ._ I 4. ) -... . -0 "" % '') c;zz c2 cc Z).- itio013 60 3830500 6 5012 7 bd 3252425 1252125 3032375 5002667 433'0533 o i ^ ,z, re) co L-1 19202122232425:«g 18 1'4 -S.c2, ,I, _ , .. o 2 'i.- L N 1:-..** , 4 . ": , 4 o .. 9- Z rs' ph *0 Zi; z- - 040 2560113706/ 0733...0363 1900114 2330160 77594 3332/5500 331 top 638112 75 950930 208304219211p O'L 4251250 960 96018611001$40.9413 10 125100 am (ma 30213m002132130 30018 25109708 20 1264,35130350 600125 OD 94109610 201330 3213gC 31:1 OD 100 520 97085 1460881503410001 *501/117 550 767 4806* 093044463144010 1 8251513 564 775 2/12710103058 0 8 514 60 0.11960114802340 320 044640148 60142117700pti ,71311632443166 4710710103 4807034500101 43326332833170 920860143 9315516701104 93m1633r2*a3 600 160780119 671021520004 42025202180 14009613 210212 06221g09011043 76 3294013340 8 t 0,0 94083 0147 38156117 BO 1i1310 033200012700 6671020750 / 22074120/6210041 1602040{Z 360 10 011 4610 75 310 30 71109 733700010 06 3217 050 550E19510 1.1013(31105i206397011q 3131,24-33t1 g3g0Zil;Milli?IfEOET.8016 234324142743 2071118432200 12031-1669P233 77528252800 65021:16329*6 976116442644 0 930* 5u 1360 6811446/0 0101 2573120946165484147175010r' 70 OD 6 3312006310 0 770 52064112300 IJC 3250 98109 30 2 09110/213211101100 72419308 901540960.063.7301010 21/1120 730 0 390 56 074112900101 G60094 8 2101 21108T14011.6 3332233{2533 350104 3 2)3173038165368 IOC 12 357 17/117140 93339101331101496185 100 3 001225P' 850E130347 250205011917 7671110 17i32930.07267 500011.1.1.3 3/ 710 d 0 0 26 7 1 0 02 to 943/MS71300 6 70 1100 7752750 225 0533.G1 86013503513411570001 22513500 475 95 009 9 301651101117317 801010 94011500 320 8203.2305b0 06904505 IL 40 7501475 675 900 1906500 244012500 20012050 S637510117 7311220.5 gm. 5332733 71713/7 93093419 3120820 61010 6301180 0600340 421580434111.1347312 10 0 94416110 5 00045611221330 4261/07135132 poi 325130 50 5002/ 240 9310810133p 8711443.6 0.00 7 0012725 29251170 GO 991092015910 93116 317 100 m00 2001345031.501i62 931102019 920034.0 1320R5zo 2510640 3 76103 0 61/24 po P1401226025601.360 950 340 / 5710 8816611880U 01 Table 71 197 nearest two decimals. Complete calculation description of this parameter will follow immediately after the current discussion. Columns 16 through 19 are means of Landsat MSS data for all pixels within each of DFSAs. As was mentioned earlier in this chapter, more than one pixel area was selected for each DFSA. Depending on site characteristics the number of pixels selected for every sampling site varied from 4 to 10 pixels; although generally there were 9 pixels selected for each DFSA. Columns 20 through 25 in Table 71 represent ratios of the means of spectral MSS bands to each other as indicated in respective columns. Columns 26 through 29 indicate surface cover types from left to right as water or shadow, pumice or' bare rock, brush with pumice, and few trees within bare rock or pumice lands respectively. It should be noted that values of zero and of one in these columns stand for zero percent and for 100% of specified cover type respectively. Sites 1-56 are DFSAs, and skipping site 57 (reason mentioned earlier), sites 58-104 are areas which are not forested. For this reason, the latter sites are means of MSS band values and their ratios have been so assigned. Parameter 15: Variations of Solar Insolation Intensity on Varying Slopes and Slope Aspects of the Park Variation in incident solar energy on the earths s surface is one of the most important parameters effecting the intensity of reflected energy detected by the Landsat MSS system. Especially 198 the amount of energy incident on two similar surface or cover types but with different slopes or slope aspects will vary considerably. This in turn results in variation of the amount and intensity of reflected energy from those similar surface cover types and can result in incorrect data. Considering the mountainous landscape of the study area it was known that inclusion of slope and slope aspect correction in the analysis of Landsat MSS data of the National Park should have a positive effect in the accuracy of digital analysis. An extensive literature exists with regard to computation of the amounts of incident solar radiation on horizontal surface or surfaces with different slopes and slope aspects with respect to sun's radiation notably; Swift (1976) has provided an algorithm for the calculation of daily solar radiation on mountain slopes. The only inputs necessary for the calculations with this program are degrees of latitude, slope and aspect, and the day of the year. Another program and calculation has been published by Buffo, Fritschern, and Murphy (1972), a program which computes hourly, daily, and yearly amounts of incident solar energy on the earth's surface; again for various latitudes, slopes and slope aspects. For computation of solar radiation intensity in this study the following formula was utilized because it has the capability of calculating instantaneous incident solar energy on the earth's surface. 199 Only a formula with such characteristics would enable us to compute the amount of incident solar energy for the time of Landsat overpass over the study area. The relevant formula for calculating cosine i (energy incident on the surface), as developed by Brooks (1959), follows: Cos(I) = Cos(P) Sin(L) Sin(B) + Cos(L) Cos(B) Cos(D) Cos(H) + Sin(P) Sin(B) Cos(D) Sin(H) + Sin(L) Cos(B) Cos(P) Cos(L) Sin(B) Sin(D) Where: I is the incident solar energy P is the angle from East-West that the surface is oriented L is the north latitude of the station B is the angle of the slope (southward facing slopes are positive) D is the declination of the sun H is the hour angle of the sun. This is equal to 15 times the number of the hours from solar noon (positive in the afternoon, negative in the morning hours). As a test case, by utilizing the foregoing formula, cosine i, was computed for 57 DFSAs within the Park (Table 72). This table presents incident solar radiation variations for 57 sample sites within the Park for 9: 3 2 AM, September 10, 1974. The time and date coincided with that of the Landsat 2 overpass of Crater Lake National Park region whose MSS recorded data had been utilized in the digital analysis of this study. Incoming solar energy is depleted by atmos- pheric attenuation processes, with only about 70% of the radiant solar Table 72.:- Solar Radiation Amounts Within DFSAs at the Time of Landsat 2 Overpass klevation * feet East-West angle (meters) (P) Latitude Slope angle Slope asp- neelinati- Hour angle of ectodegre- on of sun the sun es from North a -.) m (L) (B) 00 (0 ) Ave.so- With lar ins- eccenCos i Ulation triciLy/min t y 14/0-0 . 1 2 5525 (1684) 5800, 3o° 42 51' 3 __ 42' 521 __ -90° 42" 54' 4' 2° 9' 030° 4. 53' 4'15 (-2:18.15) 0.67 0.93 0.90 If If II 11 If II 0.66 0.92 0.89 090 " " " " " " 0.70 0.98 0.95 52' 090° " " " " " " 0.69 0.96 0.,93 -- __- If If II II II 0.66 0.92 0.89 " " of If II 0.67 0.93 0.90 (1768) 3 6200 (1890) 4 6450 (1966) -90° 42 54' 5 6750 (2057) --- 42 53' 6 7500 (2286) +30' 42° 54' 2° 52' 030° 7 7150 (2179) -65° 42 55' 3° 27' 11, 0 " 0 0 0 0 0.70 0.98 0.95 8 7100 (2164) - 42 55' 9° 04' 180° " n " n 11 II 0.73 1.02 0.99 9 7050 (2149) +60 4-2" 57' -4° 25' 060° 'I II II if II 0.68 0.95 0.92 10 6825 (2080) +30 42° 58' -4° 25' 030° 11 n II If II 0.65 0.90 0.87 11 6400 (1951) +Go° 42' 58' -9° 39' 060° n n n n n 0.69 0.97 0.94 12 6950 (2118) -60° 42° 59' 7° 06' 120° 11 It II .1 n " 0.74 1.04 1.00 13 6900 (2103) -- 42° 59' -12' 41' 36d 0 11 n n n 11 0.53 0.75 0.72 42' 59' -5° 43' 360° " " II 11 0.61 0.85 0.82 42 59' 10 34' 270° " " 0.54 0.76 0.73 14 6800 7300 222!)) +90° 11 . .. . (2073) 15 __ ' , 1 " Table 72(continued) East-West angle Latitude (meters) (P) (L) 16 6750 (2057) +90° 17 6350 (1935) +55 18 6250 (1905) 19 Elevation 41: feet Slope angle w 44.) -1 Slope asp- I)eciinati- Hour angle of the sun ect,degre- on of nun es from forth (D) (B) (H) Ave.solar insCo s i ulation Ly/min 6' 40' 270° 42 54' 13° 19' 235" +60" 42" 51' -3' 59' 060° 6250 (1905) -50° 42' 52' -9' 50' 310° 20 6300 (1920) -40° 49' 1° 291 140° 21 6100 (1859) +50° 42° 49' 2' 07' 230° 42" 50' 5° 43' 180° 42° 52' . 22 53' 4" 15(-2:18.15) 0.59 0.82 0.79 u u II II " 0.60 0.84 0.81 " " " " " 0.68 0.95 0.92 u II II II II 0.52 0.73 0.70 " " " " " " 0.68 0.95 0.92 I, II It If II II 0.66 0.92 0.89 II II II 11 II 0.71 0.99 0.96 ___ U 11 11 II II 1/ 0.66 0.92 0.89 " II II II /I 0.64 0.90 0.87 " " " " " " 0.58 0.81 0.78 u u u 11 1, 11 0.66 0.92 0.89 u u u " " 0.63 0.88 0.85 " " " " " 0.65 0.91 0.88 11 II II II " 0.67 0.94 0.91 0 5900 4" ty 6y/min co 59' With oceantrici- " (1798) 23 6150 (1875) 24 6100 (1859) +90 42' 531 1 43' 270" 25 5750 (1753) -50' 43' 53' -5° 52' 310 26 5700 (1737) 27 5670 (1728) 28 29 . 30 0 . 43 53' +90° 42° 53' 5500 (1676) +45° 42' 53' 5200 (1585) +30° 42' 54' 6000 1829 11' 270° 4' 39' 225° 3° 38, 150° 'I . 43' 01' " " " " " 0.66 0.92 0.89 Table 72(continued) East-West angle Latitude feet (meters) (P) (L ) Elevation Slope asp- Declinati- Hour angle of ect,degre- on of sun the sun es from Cos i North Slope angle U) 31 32 (0) (8) 43° 02' 1° 04' 180° 4 53' +90 43° 03' 6° 50' 270° " n n n n II 6100 (1859) 6500 (8) 4" Ave.solar inselation Ly/min With eccentricity Ly/mir 0:67 0.93 0.90 n 0.59 0.82 0.79 " 0.58 0.81 0.78 it n 0.69 0.97 0.94 15(-2:18.15) (1981) 33 6250 (1905) +90° 43° 03' 7° 30' 270° II II 11 II 34 6250 (1905) -90 42° 53' 3° 35' 090° n n n n 35 6000 (1829) 42' 52' 14' 02' 180° II II II II " " 0.76 1.06 1.02 36 5400 (1646) -30° 42" 49' 1° 12' 150° n ft n II II II 0.67 0.94 0.91 5100 -90° 42° 48' 2° 43' 090° II II II II II 0.69 0.96 0.93 -30' 42° 47' 1° 25' 150° n n n n 0.68 0.95 0.92 32' 090° n n II II II n 0.68 0.95 0.92 120° n II II II II I' 0.69 0.96 0.93 " 0.66 0.92 0.89 , , 0.67 0.93 0.90 0.66 0.92 0.89 0.61 0.86 0.83 Cl 07 r1 -0A n_QC1 3? (1554) 38 4700 (1433) 39 4600 (1402) -90' 42° 47' 1° 40 4500 (1372) -600 42° 47' 2° 41 5750 (1753) ___ 43° __ 42 5200 (1585) -90° 43' 03' 43' 011 43 5225 46' ___ n 11 1, n n 090° n n 11 n n n H II " " 11 11 n 11 II it It II " (1593) 44 45 6300 (1920) C,rii, (1890) 43' it's L2. ...._ nie -40 57' 360' 1. .11 rIGn. II it Table 72(continued) fiE Elevation Last-West feet angle (meters) (P) Latitude Slope angle (L) (B) w 4., M 46 6020 43* 03' Slope asp- Declinati- Hour angle of ect, degr- on of sun the sun ees from Cos i North (D) 4° (1835) 47 48 11 0.66 0.92 0.89 -1' 53' 060° " " " " " " 0.67 0.93 0.90 52' 6° 190 270° , n " ft n n 0.59 0.83 0.80 42° 51' 13° 29' 270° " " " " H " 0.51 0.71 0.69 n H n H n 0.67 0.94 0.91 " " " " " 0.62 0.87 0.84 u " " 0.67 0.94 0.91 " 0.66 0.92 0.89 04' 42° 50 7000 (2134) +90° 6500 (1981) +3o° 42° 51' 15° 31' 210° 6300 (1920) +90° 42° 55' 3° 23' 270° 6650 (2027) +30° 42* 56' 4° 43, 210 6200 (1890) 56 57 43° -45° 0.89 It 43" 55 0.92 II +60° 6450 (1966) 0.66 II Woo 54 15(-2:18.15) II 03' +90° 53 Ly /min " 43° 65oo (1981) 52 530,4" ty 06o° +60° 49 51 (H) With eccentrici- -36' 5950 (1814) (1829) Ave. solar insulation Ly/min 43° 01' 6100 (1859) 43° __ 5400 (1646) 43 04, 2° -7° 09t 221 135° 360 Table 72 1 of " " H H " n " " " 0.69 0.96 0.93 " II II II II 0.66 0.92 0.89 II H II II 0.59 0.82 0.79 11 204 energy available at the top of the atmosphere reaching_the earth's surface. This factor was considered in preparation of Table 72 as averages of solar insolation intensity (Langleys per minute) were calculated for various DFSAs. Furthermore, since Landsat 2 MSS data, which were utilized in this study,had been acquired during summer season (September 10), of the Northern hemisphere, amounts of solar insolation intensity are 3. 5% smaller than the average (Lamb, 1972). This is due to variations in Sun-Earth distance (eccentricity), during a solar year. This effect along with all topographic characteristics of DFSAs have been depicted in the foregoing table. For a better understanding of solar radiation intensity fluctuations on varying slopes and slope aspects of Crater Lake National Park, Figure 33 was developed. Ins olines on this figure present areas of equal incident solar_energyfor 9:32 AM, September 10, 1974. For this purpose, cosine i for 36 synthetic sites in addition to 57 downed fuel study areas were calculated and averages of radiant energy were plotted on a polar projection graph; so that insolines course over variably sloped areas of the Park for Landsat overpass time. Values are gram calories per square centimeter per minute (Langleys per minute), corresponding to the amount of impinging solar radiation at the top of the crown canopy for forested areas and over the exposed land areas. Although amounts of reflected energy from the surface cover types, which are recorded by Landsat MSS detector system, could be determined by 205 Variations of Solar Radiant Loading on Various Slopes & Aspects -09:32 Sept. 10, 1974 Slope Angle _ 360 DO Contour Interval: 0.02 Langley Time: 09:32 a.m. Date: 39 Sept. 10. 1974 Downed Fuel Study Area ( DFSA ) 0 Synthetic Site Figure 33 206 this procedure and thus solar insolation and heat loading parameters could be defined; with regard to fire fuel loading study the situation is somewhat different. Intensity of reflected solar energy from the openings of the forest types, and estimation of solar heating characteristics within the stands depend not only on incident energy but other factors such as diffused solar energy from under the crowns and sunflecks as well. Although, under crowns, insolation intensity is usually much lower than that of the top of the crowns, Muller (1971), has indicated that in lower and middle latitudes variation in stand characteristics may cause significant variation in under crown insolation intensity. As a result, in some occasions, because of downward scattering effects of the crowns, insolation intensity under the forest canopy becomes slightly higher than solar radiation intensity in the atmosphere. Now that the readers have become familiar with all 29 parameters involved in a preliminary analysis of this study, grouping of data with regard to their similarity is relevant. 207 Dissimilarity Clustering The numerical classification technique utilized in this study was developed by James A. Keniston (1978) while associated with the Oregon State University Marine Science Center. Program "CLUSTER", as it is called, uses agglomerative clustering to classify a set of entities based on comparison of their attributes. Although this program was developed primarily for use in ecological investigations, it is applicable to any field in which numerical classification is desired (Keniston, 1978). A matrix of data cited earlier in Table 71 was used as input to the CLUSTER program. To eliminate quantitative weighting factor of data in clustering procedure, data were statistically normalized prior to generation of CLUSTER classification. Then program CLUSTER was generated, and its result was plotted by Gerber plotter and is represented in Figure 34. It should be noted that this classification is based on a dissimilarity factor of the data through which similar data are classified and grouped and classified. Similar groups in Figure 34 have been designated by alphabetical letters on the X axis of the figure. Attempting to classify downed fuel characteristics for 'TireDanger Rating Area" purposes, this study is primarily concerned with forested areas of the Park. Separation of forested and nonforested cover types of the Park by utilization of Landsat MSS data DENDOGRAM OF SPECIES CRATER LAKE NATIONAL PARK,OREGON CANBERRA METRIC / GROUP AVERAGE 1.0 .9 .8 .7 .5 4 .3 .2 .1 Er, 1 dint Id_ 11,41.,1) FL .1* E A 7-KLMN-rpORS-1"ry wjryZ12.1 F AREAS STUDY SITES NON-HAZARDOUS FOR WILD FIRES HAZARDOUS FOR WILD FIRES Figure 34 O co 209 has already been accomplished by Walsh (1977). For this reason, the prime intention here was to group (cluster), similar subclasses within each major group (forested or non-forested). Therefore, no statistical classification significance should be attributed to the major break between forested and non-forested because these two groups are comprised of unlike data bases. However, within each of the major subsets - forested or non-forested, there is significance to the differences in subclassifications. Detailed information with regard to cover type and downed fuel characteristics of every subclass within forested clusters A through I shown in Figure 34 are given in Tables 73-81. For convenience of comparison, means, and standard deviations of MSS data for DFSAs classified within clusters A through I, have also been presented along with every cluster in Tables 73A-81A. Surface cover types of sample sites designated as "Areas Non-Hazardous For Wild Fires" on Figure 34 were studied through joint utilization of U-2 color infrared aerial photographs, 59 classes of surface cover type classification (Walsh, 1978), the USGS topo- graphic map of Crater Lake National Park, and Landsat MSS data. Due to the fact that those sites were non-forested areas, on-site observations within those areas for downed fuel study purposes were not carried out. General surface cover types of non-forested areas for clusters J through 3 within the National Park have been identified as follows: 210 Field Observation Information for DFSAs 7ithin Cluster A DFSA* rr Composition of Cover Type Forested Crown Size Area (%) (feet) Downed Fuel (t/a) 24 Mountain Hemlock (50%), 71.1 Shasta Red Fir (30%), Lodgepole Pine (20%) 28.2 8.93 25 Mountain Hemlock (40%), 78.4 Shasta Red Fir (40%), Lodgepole Pine (20%) 22.4 7.92 56 .Shasta Red Fir (60%), 73.8 Mountain Hemlock (25%), Lodgepole Pine (15%) 27.8 13.24 12 Shasta Red Fir (50%), 39.7 Mountain Hemlock (30%), Lodgepole Pine (20%) 34.4 26.48 Mountain Hemlock (85%), 70.3 Lodgepole Pine (10%), Shasta Red Fir (5%) 28.2 28.18 19 Mountain Hemlock (85%), 64.2 Lodgepole Pine (15%) 28.9 46.63 20 Mountain Hemlock (70%), 53.3 Lodgepole Pine (30%) 25.0 28.25 44 Mountain Hemlock (60%), 75.9 Lodgepole Pine (35%), Whitebark Pine (5%) 36.9 28.61 *Downed Fuel Study Area Table 73 211 Means and Standard Deviations of Landsat MSS Data For Ground Truthing Sites Within Cluster A MSS Bands 4 5 Distances 6 7 18.89 .60 9.00 17.78 1.48 9.67 .71 3.56 2.70 20.44 1.13 11.89 .93 3.56 2.40 18.33 3.08 9.33 2.42 3.33 5.50 17.88 1.73 9.00 1.07 2.63 2.20 * DFSA # 24 Means 16.56 11.56 ST DEV 1.01 1.59 Number of samples(pixels) .71 3.56 4.74 9 DFSA # 25 Means 16.22 11.67 ST DEV 1.73 .97 Nimber of sammles(pixels) 9 DFSA # 36 Means 16.33 12.89 ST DEV .50 1.17 Number of samples(pixels) 9 DFSA # 12 Means 15.83 10.17 ST DEV 1.60 3.13 Number of samrles(pixels) 6 DFSA # 14 Means 15.00 9.63 ST DEV 1.06 .53 Number of samples(pixels) *Downed Fuel Study Area 8 212 Cluster A (continued) MSS Bands 4 6 5 7 Distances DFSA # 19 Means 15.33 9.11 ST DEV .50 1.17 Number of samples(pixels) 16.56 1.67 8.56 .53 3.56 19.57 11.00 1.00 3.43 10.22 .83 3.56 2.08 1.28 9 DFSA # 20 Means 16.71 11.86 ST DEV 2.14 1.86 Number of samples(pixels) 1.51 1.95 7 DFSA # 44 Means 16.56 12.44 ST DEV 1.13 1.01 Number of samples(pixels) 18.33 .71 9 Table 73a 213 Field Observation Information for DFSAs Within Cluster 3 Dr SA* 27 Composition of Cover Type Forested Crown Size 11,-ea (%) (feet) Lodgepole Pine (80%), Mountain Hemlock 65.5 18.1 54.17 58.2 20.3 30.80 37.2 17.6 6.03 18.5 12.5 11.10 35.5 18.6 18.66 40.7 20.8 16.24 78.4 28.5 26.33 Downed Fuel (t/a) (20%) 55 Lodgepole Pine (80%), Mountain Hemlock (20%) 52 Lodgepole TPole Pine (755), Mountain Hemlock (25%) 22 Lodgepole Pine (75%), Mountain Hemlock (25%) 45 Lodgepole Pine (85%), Mountain Hemlock (15%) 33 Lodgepole Pine (70%), Mountain Hemlock (25%), Shasta Red Fir (5%) 9 Mountain Hemlock (70%), Lodgepole Pine (25%), Whitebark Pine (5%) *Downed Fuel Study Area Table 74 214 Means and Standard Deviations of Landsat MSS Data For Ground Truthing Site-s Within Cluster B MSS Bands 4 5 6 7 Distances DFSA*# 27 Means 16.56 10.78 ST DEV 1.01 1.56 Number of samples(pixels) 18.00 9.67 .71 .87 18.33 10.22 .83 3.56 .71 18.50 1.73 10.00 1.15 3.00 Means 16.10 11.90 17.70 ST DEV 1.49 2.51 .99 Number of samples(pixels) 10 9.30 3.60 1.77 3.71 9.89 .60 3.56 2.65 3.56 2.13 9 DFSA # 55 Means 16.33 12.56 ST DEV .71 1.42 Number of samples(pixels) 1.79 9 DFSA # 52 Means 16.25 11.00 ST DEV .50 ..82 Number of samples(pixels) 1.19 4 DFSA # 22 DFSA # 45 Means 17.67 14.67 ST DEV .50 .71 Number of samples(pixels) *Downed Fuel Study Area 18.89 1.05 9 215 Cluster B (continued) MSS Bands 4 6 5 7 Distances DFSA # 33 16.22 Means 11.33 1.22 ST DEV .67 Number of samples(pixels) 18.22 .67 9.56 18.78 .67 11.78 .83 1.01 3.56 1.83 9 DFSA # 9 15.67 10.22 Means ST DEV .50 .97 Number of samples(pixels) 9 Table 74a 3.56 1.91 216 Field Observation Information for DFSL.s Within Cluster C DFSA* Composition of Cover Type Forested Crown Size Area (%) (feet) Downed Fuel (t/a) 4 Shasta Red Fir (80%), Mountain Hemlock (20%) 80.2 43.2 30.29 7 Shasta Red Fir (60%), Mountain Hemlock (L0 %) 58.4 34.7 29.81 28 Shasta Red Fir (70%), Mountain Hemlock (30%) 84.1 37.7 51.16 3 Mountain Hemlock (70%), Shasta Red Fir (20%),.. Lodgepole Pine (10%) 62.7 42.9 36..75 34 Mountain Hemlock (80%), Shasta Red Fir (20%) 72.4 29.9 28.76 35 Mountain Hemlock (60%), Shasta Red Fir (40%) 52.2 31.47 15.72 49 Mountain Hemlock (55%), Shasta Red Fir (40%), Grass (5%) 83.6 26.8 20.34 10 Mountain Hemlock (60%), Shasta Red Fir (35%)s Whitebark Pine (5%) 80.0 29.6 33.46 29 Shasta Red Fir (85%), Mountain Hemlock (10%), 7hitebark Pine (5%) 86.6 26.9 17.96 11 Mountain Hemlock (95%), Shasta Red Fir (5%) 97.8 36.6 91.67 *Downed Fuel Study Area Table 75 217 Means and Standard Deviations of Landsat MSS Data For Ground Truthing Sites Within Cluster C MSS Bands 4 5 Distances 6 7 18.22 1.20 11.00 .87 3.56 20.22 1.72 13.11 1.69 3.56 1.75 17.44 10.11 .60 3.56 2.27 10.43 1.13 3.43 3.36 DFSg# 4 Means 15.00 9.11 ST DEV .50 .78 Number of samples(pixels) 3.31 9 DFSA # 7 Means 16.44 12.00 ST DEV 1.67 2.35 Number of samples(pixels) 9 DFSA # 28 Means 15.67 9.44 ST DEV .71 1.01 Number of samples(pixels) 1.51 9 DFSA # 3 Means 15.29 10.00 ST DEV .76 1.29 Number of samples(pixels) 19.00 1.41 7 DFSA # 34 Means 15.56 9.89 ST DEV 1.05 .73 Number of samples(pixels) *Downed Fuel Study Area 18.89 1.96 9 11.11 2.37 i..4 218 Cluster C (continued) MSS Bands 4 5 Distances 6 7 19.00 .71 10.67 1.22 3.56 2.45 18,11 9.33 1.05 1.00 3.56 3.76 17.63 .92 9.88 .64 3.50 2.18 18.22 10.56 .73 3.56 3.13 9.14 3.43 2.57 DFSA # 35 Means 16.11 12.33 ST DEV 1.05 1.94 Number of samples(pixels) 9 DFSA # 49 Means 15,00 9.11 ST DEV .50 .78 Number of samples(pixels) 9 DFSA # 10 Means 10,50 14.88 ST DEV 1.20 .35 Number of samples(pixels) 8 DFSA # 29 Means 15,22 9.89 ST DEV 1.05 .44 Number of samples(pixels) 1.39 9 DFSA # 11 Means 10,00 ST DEV .38 1.83 Number of samples(pixels) 17.86 1.07 7 Table 75a .90 219 Field Observation Information for DFSAs Within. Cluster D DFSA* it Forested Area (%) Composition of Cover Type Crown Size (feet) Downed Fuel (t/a) 17 Mountain Hemlock (99%), or pure single species 62.5 41.6 45.79 32 Mountain Hemlock (99%), or pure single species 88.5 43.9 49.92 15 Mountain Hemlock (99%), or pure single species 71.9 36.8 22.77 16 Mountain Hemlock (99%), or pure single species 17.5 39.4 9.87 53 Mountain Hemlock (99%), or pure single species 42.7 26.7 56.42 18 Mountain Hemlock (99%), or pure single species 71.0 37.2 84.74 13 Mountain Hemlock (99%), or pure single species 67.0 27.8 51.68 51 Shasta Red Fir (99%), or pure single species 89.8 26.8 27.17 Mountain Hemlock (99%), or pure single species 85.2 38.3 52.70 6 *Downed Fuel Study Area Table 76 220 Means and Standard Deviations of Landsat MSS Data For Ground Truthing Sites Within Cluster D MSS Bands 5 4 6 7 Distances DFSA*# 17 8.89 .60 3.56 2.02 17.11 .60 8.67 2.67 1.98 16.67 1.86 8.67 1.21 3.33 2.04 18.38 .74 9.88 .83 3.50 2.27 18.50 10.00 Means 15.40 1.08 .82 ST DEV .52 10 Number of samples(pixels) 10.40 1.17 3.60 2.69 Means 15.11 8.56 ST DEV .33 .53 Number of samples(pixels) 17.11 .78 9 DFSA # 32 Means 15.00 9.22 ST DEV .25 .67 Number of samples(pixels) .50 9 DFSA # 15 10.83 Means 15.17 ST DEV 1.17 .41 Number of samples(pixels) , 6 DFSA # 16 15.13 Means 9.88 1.13 ST DEV .64 Number of samples(pixels) 8 DFSA # 53 * Downed Fuel Study Area 221 Cluster D (continued) MSS Bands 4 6 5 7 Distances DFSA # 18 Means 14.78 8.78 ST DEV .83 .44 Number of samples(pixels) 16.33 1.12 8.67 3.56 .50 1.39 16.88 1.36 8.75 .89 3.50 1.16 18.13 .99 9.50 .53 3.50 2.37 25.00 16.00 3.20 1.41 .71 1.77 DFSA # 13 Means 15.38 9.50 ST DEV .52 .53 Number of samples(pixels) 8 DFSA # 51 Means 15.13 9.88 ST DEV 1.25 .35 Number of samples(pixels) 8 DFSA # 6 Means 19.60 19.60 ST DEV 1.34 3,05 Number of samples(pixels) 5 Table 76a 222 Field Observation Information for DFSAs Within Cluster E DFSA* Composition of Cover Type Forested Area (%) Crown Size (feet) Downed Fuel (t/a) 5 Mountain Hemlock (70%), Shasta Red Fir (30%) 86.2 42.5 56.61 56 Mountain Hemlock (90%), Shasta Red Fir (5%), Lodgepole Pine (5%) 94.2 31.9 46.03 *Downed Fuel Study Area Table 77 223 Means and Standard Deviations of Landsat MSS Data For Ground Truthing Sites Within Cluster E MSS Bands 4 5 6 7 17.78 1.72 10.44 17.22 1.56 9.56 Distances DFSA*# 5 Means 10.55 15.11 ST DEV .87 .33 Number of savoles(pixels) 1.01 3.56 3.67 9 DFSA # 56 Means 15.56 11.00 ST DEV 1.12 .73 Number of samples(pixels) 9 *Downed Fuel Study Area Table 77a 1.01 3.56 1.92 224 Field Observation Information for DFSAs Within Cluster F DFSA* Downed Fuel (t/a) Composition of Cover Type Forested Area (%) 39 White Fir (60%), Ponderosa Pine (40%) 64.9 33.2 60.22 40 White Fir (60%), Ponderosa Pine (25%), Mountain Hemlock (15%) 77.5 31.4 29.65 37 White Fir (40%), Ponderosa Pine (40%), Shasta Red Fir (20%) 83. 6 24.5 34.47 38 Mite Fir (80%), 36.4 22.8 18.75 .11 r/- Shasta Red Fir (15%), Ponderosa Pine (5%) *Downed Fuel Study Area Table 78 Crown Size (feet) 225 Means and Standard Deviations of Landsat MSS Data For Ground Truthing Sitet Within Cluster F MSS Bands 4 5 6 7 19.88 .83 11.88 1.36 3.50 20.67 .87 11.67 .50 3.56 2.44 19.22 .67 11.00 1.00 3.56 3.37 21.33 1.32 12.44 .88 3.56 2.46 Distances DFSA*# 39 Means 16.38 10.38 ST DEV .52 .52 Number of samples(pixels) 1.81 8 DFSA # 40 Means 17.00 11.78 ST DEV .87 .97 Number of sammles(pixels) 9 DFSA # "37 Means 15.11 9.33 ST DEV .33 .50 Number of samples(pixeis) 9 DFSA # 38 Means 16.22 9.67 ST DEV .67 .71 Number of samples(pixels) 9 *Downed Fuel Study Area Table 78a 226 Field Observation Information for DFSAs V:thin Cluster G DFSA* Composition of Cover Tyne Forested Area (%) Crown Size (feet) Downed Fuel (t/a) Lodgepole Pine (99%), or pure single species 43.9 17.1 22.97 48 Lodgepole Pine (99%), or pure single species 65.3 20.4 39.29 21 Lodgepole Pine (99%), or pure single species 25.8 14.7 17.33 47 Lodgepole Pine (99%), or Pure single species 21.2 17.7 18.62 1 *Downed Fuel Study Area Table 79 227 Means and Standard Deviations of Landsat MSS Data For Ground Truthing Sites Within Cluster G MSS Bands 4 6 5 7 Distances DFSA*# 1 Means 16.00 12.00 ST DEV .82 .58 Number of samples(pixels) 18.00 .58 9.00 Means 16.20 12.20 17.80 ST DEV 1.03 .42 .92 Number of samples(pixels) 10 10.00 .58 3.43 2.96 7 DFSA # 48 .21 2.70 2.56 17.89 1.45 10.11 .78 3.56 3.53 18.57 .79 10.57 .98 3.43 DFSA # 21 Means 16.22 13.44 ST DEV .67 .88 Number of samples(pix'els) 9 DFSA # 47 Means 17.14 14.71 ST DEV .69 .49 Number of samples(pixels) 7 *Downed Fuel Study Area Table 79a 2.19 228 Field Observation Information for DFSAs Within Cluster H D7SA* Composition of Cover Type Forested Area (%) Crown Size (feet) Downed Fuel (t/a) 2 Lodgepole Pine (99%), or pure single species 21.9 15.0 21.78 46 Lodgepole Pine (99%), or pure single species 31.4 16.0 24.21 30 IodgePole Pine (99%), or pure single species 11.21 11.8 0.35 *Downed Fuel Study Area Table 80 229 Means and Standard Deviations of Landsat MSS Data For Ground Truthing Sites Within Cluster H MSS Bands 6 5 7 Distances DFSA*# 2 Means 16.78 13.00 ST DEV .67 .87 Number of samples(pixels) 19.11 9.78 1.05 .67 3.56 2.26 20.56 1.33 10.89 .78 3.56 2.88 19.67 10.00 .71 .71 3.56 3.72 9 DFSA # 46 Means 18.11 14.89 1.45 ST DEV 1.36 Number of samples(pixels) 9 DFSA # 30 Means 18.78 16.89 ST DEV .67 -1.54 Number of samples(pixels) 9 *Downed Fuel Study Area Table 80a 23 0 Field Observation Information for DFSAs Tj:ithin Cluster I Th7qA* 14- 4.. Composition of Cover Type Forested Area (%) Crown Size (feet) Downed Fuel (t/a) 23 Lodgepole Pine (85%), Mountain Hemlock (15%) 57.2 29.0 13.22 26 Lodgepole Pine (90%), Mountain Hemlock (10%) 86.9 22.5 22.79 54 Iodgepole Pine (95%), Mountain Hemlock (5%) 18.1 15.2 2.77 43 Lodgepole Pine (95%), Ponderosa Pine (5%) 39.2 18.4 2E, 31 Lodgepole Pine (85%), Shasta Red Fir (10%), 7hite Fir (5%) 30.1 16.2 15.40 41 Ponderosa Pine (99%), or pura single species 60.9 47.4 17.73 42 Ponderosa Pine (95%), Lodgepole Pine (5%) 77.2 47.1 10.67 Gras s (70 %) 'Zhitebark Pine (10%), Lodgerole Pine (10%), Mountain Hemlock (10%) 13.0 22.2 C. ^ Shasta Red Fir (50%), Vihitebark Pine (40%), Mountain Hemlock (10%) 29.0 21.8 8.93 50 *Downed Fuel Study Area Table 81 23 1 Means and Standard Deviations of Landsat MSS Data For Ground Truthing Sites Within Cluster I MSS Bands 4 6 5 7 Distances DFSA*# 23 Means 16.56 11.78 1.20 ST DEV .53 Number of samples(pixels) 9.56 1.24 3.56 2.77 17.56 .53 9.11 .33 3.56 2.72 20.38 9.88 .83 3.50 1.19 19.50 10.75 1.51 .71 3.50 2.44 17.56 .73 9.67 18.00 .71 9 DFSA # 26 Means 15.33 11.22 ST DEV .50 .44 Number of samples(pixels) 9 DFSA # 54 Means 16.00 18.00 ST DEV 1.20 .76 Number of samples(pixels) 1.61 8 DFSA # 43 Means 14.38 17.50 ST DEV 1.31 1.85 Number of samples(pixels) 8 DFSA # 31 Means 12.56 15.78 ST DEV 1.13 .44 Number of samples(pixels) *Downed Fuel Study Area 9 .50 3.56 2.23 232 Cluster l (continued) MSS Bands 4 5 Distances 6 7 21.17 .98 12.00 1.26 3.33 4.02 20.44 .53 12.00 .71 3.56 2.17 26.33 1.87 16.56 1.94 3.56 2.58 22.89 2.03 13.67 2.45 3.56 2.60 DFSA # 41 Means 17.67 14.50 ST DEV 1.03 .84 Number of samples(pixels) 6 DFSA # 42 Means 13.22 17.00 ST DEV 1.09 .50 Number of samples(pixels) 9 DFSA # 8 Means 20.89 19.89 ST DEV 1.17 2.15 Number of samples(pixels) 9 DFSA # 50 Means 18.22 14.67 ST DEV 1.20 1.94 Number of samples(pixels) 9 Table 81a 233 Cluster J: Pumice or bare rock with few trees Cluster K: Pumice and bare rock Clusters L, M, N, 0: Bare rock with few trees Clusters P, Q, R, S: Bare rock/pumice Clusters T, U, V, W, X, Y, Z: Pumice Cluster 1: Few sparse trees on pumice lands Cluster 2: Shadow or water Cluster 3: Pumice/lava MSS data for non-forested areas have been presented in Table 71. Points of interest from the CLUSTER classification of Landsat MSS, NCIC topographic, and field observation data sets may be summarized as follows: a. Pure stands of forest species have been classified with great accuracy. b. All combinations of cover types are clustered with regard to dominant species. c. Separation of Mountain Hemlock and Shasta Red Fir with CLUSTER classification seems impractical. Other than species type and forest density, the crown size and hence forest maturity seems to have a major control over the amount of downed fuel. Larger crown sizes are indicative of a mature forest and hence larger amounts of downed fuel. However, 234 there seem to be exceptions to this rule throughout the-field observations, which we believe they may be either due to errors in photo- graphic interpretation of crown sizes or errors in locating of those DFSAs on color IR aerial photographs or perhaps due to prior forest fires. e. As a general rule Lodgepole Pine forests have a higher spectral value and smaller amounts of downed fuel in comparison to other dominant species within the Park. 235 Final Analysis of Data at Berkeley Space Sci-ences Laboratory, Berkeley, California This stage of analysis took place during late April, 1979. The primary objective was to classify Landsat MSS data in conjunction with digital terrain data with the assumption that such procedure would result in more realistic surface cover type classification than classification of MSS data alone. The assumption in this regard was based on field observation information which indicated that topographic elements of an area exert a powerful control over vegetation types and vegetation habitats within the region (Chapter 2). The final goal was to produce color coded photographic maps of digital surface cover types and downed fuel characteristics within the National Park. Since it was not feasible to carry out this procedure at the O.S.U. computer facilities, arrangements were made with Berkeley Space Sciences Laboratory to utilize their computer facilities for a MSS/ topographic data set analysis. Hardware Specification The computer system utilized in the final analysis of this MSS/topographic data set at the Berkeley Space Sciences Laboratory included a Nova 840, and a standard Nova linked together by a data transmission line. Both computers were built by Data General Corporation. The Nova 840 has a 64K memory location, a word size 23 6 of 16 bits, 4 accumulators, an 800 nanosecond memory cycle time, and is capable of running two (foreground/background) programs simultaneously (University of California, 1974). Other hardware systems utilized in this phase of the study included an Interactive Color Display, and Digital Disc Memories. Landsat MSS/topographic Data Set Considering time and accomodation cost at Berkeley, California, decisions were made with regard to accomplishment of necessary preparation of data analysis prior to our trip to Berkeley. In cooperation with Mr. Gregory Smith of Space Sciences Laboratory, a spectral/topographic data set was produced for Crater Lake National Park and vicinity. The procedure included the adjustment of NCIC digital terrain data units to Landsat MSS 1.1 acre pixels. Original digitized NCIC terrain data tapes contain information on topographic elevations. Slopes and aspects were computed from these elevations (see Chapter 5 for details). Problems had to be overcome with regard to non-continuous contours on the adjoining four separate terrain data blocks, which, unfortunately joined over Crater Lake National Park. The separate data blocks pertained to four 1:250,000 scale USGS topographic quadrangles of the region, portions of each occupied by Crater Lake National Park (Chapter 5). When these were 237 conected at the splice lines one continguous data block was produced. Digital data of terrain were oriented in a north-south direction which means that they were arrayed approximately 90 degrees from the orientation of the MSS pixel data. For this reason, to match terrain data cells with the Landsat 1.1 acre pixel areas of the study area a regression relationship was established between Landsat MSS, and Digital Terrain Tape (DTT) Coordinate system. This regression relationship provided the necessary means for data rotation. In order to register Landsat MSS data with topographic infor- mation (slope, aspect, and elevation), eight readily definable points (mountain peaks), were relocated on both Landsat and terrain digital data, and the two sets of digital data information were registered with each other. The procedure provided seven sets digital values for each 1.1 acre pixel area within the National Park; four spectral Landsat bands (4-7), and three digital topographic bands for elevation, slope and slope aspect. Analysis Procedure of Landsat Spectral/ Topographic Data Sets In the computer assisted classification of Landsat spectral/ NCIC topographic data sets at Berkeley Space Sciences Laboratory, the Program Cluster was utilized. This program is an unsupervised 238 classification tool that separates a set of multi-dimensional data points into clusters of "similar" groups. Each cluster is represented numerically by a "center" mean of all features, and a "width" or the set of standard deviations of all features. Program cluster employs an iterative process to develop the cluster sets, and refines clusters in each iteration (Ritter, and Kaugars, 1978). Through this refinement procedure clusters with large standard deviations are divided into two new clusters, while separate clusters with similar, small standard deviations are combined into a single group or cluster. The refinement continues until clusters reached to a specific refinement stage called measure of "goodness". Limits of "goodness" is set by user by means of various parameters in the program. Considering the large quantity of data involved in the computa- tion, prior to analysis, data were transferred from digital tapes to a small 4.25 megabit fixed head disk. This disk is used for storage of crucial system programs, and data involved in high-speed computation (University of California, 1974). When all necessary preparations involved in classification were completed and program cluster was generated, its results were displayed on a 19-inch interactive color monitor. Portions of displayed images were "zoomed" to magnify points of interest. Needed infor- mation for comparison and location purposes were extracted from the color monitor by selecting point coordinates with a light pen. These 239 screened and enhanced sets of information were then studied in conjunction with U-2 color infrared aerial photographs of the National Park. After a satisfactory measure of "goodness" was believed to have been achieved in cluster classification, the results were stored in the computer. Cluster classification provided us with fifty-four classes of surface cover types within the National Park. This result, along with base data criteria, i. e. Landsat/topographic data set parameters were displayed one at a time, on the color monitor screen and were examined as to their cover type character. At the same time color slides were made directly from the 19-inch color monitor screen. Photographic reproductions with regard to enhanced Landsat MSS base data, a fifty foot contour map of Crater Lake National Park and vicinity presented in Chapter 2, and digital depictions of slope and slope aspect of the Park and vicinity in this chapter were reproduced from the slides. A computer compatible tape was then generated from the stored classification results and the tape was printed out and analysed at Oregon State University. Analysis Results By assigning fifty-four symbols for the computer determined fifty-four classes of cluster analysis accomplished at Berkeley, 240 California, a printout was generated from the tape at Oregon State University computer center. At this point we had the following tools to study the cluster classification result: a. A computer line print product represented by fifty-four symbols for the fifty-four original cluster classes of surface cover types within the National Park and vicinity (Appendix II). b. Tabulations of fifty-four clusters (classes), with regard to their mean spectral values for each of four Landsat MSS band, plus three sets of digital terrain information pertaining to mean elevation, slope and slope aspect of each cluster. c. Standard deviations of criteria in "b" above. d. Information with regard to a number of points (pixels), for each cluster within fifty-four classes. Numerical information with regard to categories, b, c, and d are presented in Tables 82-84. e. Varying scale IJ-2 color IR photographs for the study areas explained in Chapter 5. f. Information acquired through field observation which have been described in Chapter 5. Based on digital terrain information noted in 'lb" above, Figures 35 and 36 are color photographic representations of slope and slope aspect respectively for Crater Lake National Park 241 Number of Pixels in Each 54 Original Cluster Classes Pc NTS-;srCLUS76R CLUSTER-- f- 259. 460. -2 ,17f72339. 4 2364. 2676. 449. 1102. ---r 9 SO 358. 12 -.1314 -5048.-1995. 4123. :5-- 7993. 16 -17 730 . 959. 23630. 4960. 18 20 2014. -----26465. 7178. 22 24 277 - 7S3: 23- 10494. 5416; 3496. -29 --- :0_ 452". " 31 32 33 34 35 46340. 3911. 342. 36 37 33 1653. 1463. 3190. 15518. 1025.. 39 40 41. 42 43 4 45 46 .47' 48 1.379. 32746. - 7 50 1680.. 2985 --- 52 45828;_ 54 19989. TCTAL 379797, . Table 82 1.0.55 242 Means of MSS/Topographic Data Set for 34 Original Cluster Classes Band 4 Band 5 Band6 Band 7 cLusT*P c)4( t) ::1( 2) cH( 3) Cs( 4) 7777.1.7722:715---7.3.1..:i"-- 25:3714,96 2 37-.02 40.18 42.28 11,33 -9,33 73-77- -15744 9.67. 4 14,75 8.30 17.189.23 Elevation Slope 5) CM( i) n5-1.21 7545,72 6145.71 5473,41 -1'777 8510.19 ,4,73 4914,72 -2-2.21 C'4( Aspect 7H( s.,.... 7) 27,16 9,39 /3.41 .--!--7-----13753---15'.13 .22778 c 9,06 14,35 24.77 =77-7=7:11;57=7:1-.70a---7-2-17:1-7.77:-It-70 6775..9E a 9.22 15,66 1t,40 50t2,42 21.15 44.34 38.67 86.11 8,78 17.125 -47'116 -14',25 -7;21 6718,81 13.99 8424.71 4..33 1.8..0 7f1d 7934.,t 5,42 4.08 .92 6614.51 12 .14------22;Thv -- 12i t4-8421.31, 15.39 32.52 19,35 5734.52 42,15 7,64 19,82 :5.,71 -25;44 8.13 17.66 38.34 43,38 53.43 32.24 '4:97' 13.13 12.91 24,83 1.7,11 '55,45 -, - -- 9----- ta.cs -11-.74. --11-;76 --15:.46 = 30,23 14....14 12 .13,50 ........1-4........_ ._. r:723-: 19,72 -- 1: -15;7515,53 31.33 . 9,11 32.75 -13:6621,94 17 --:-'7 23',769" 22.33 -26.84 18 27.23 26,32 1.1.48 5748,01 12.80 5135.18 11,76 6374.91 17,35 6994,91 6:44: 57.76 47.17 -170 14 34,33 21.18 37,14 --71-97=-7. -.1,12- 11.2918.38 ---c,Ca 5718,27 2,75 -58,92 +4,41 4.95 _7,41 5331.51 17,35 6,23 3.16 63,41 21..7,54 25,47 12.21 244*.31 -1.31 3 :,32 22 17.29 11.95 26.63 15.31 5776.53 12.11 33,15 '4217.19 12.66 13.92. 9,99 4339.23 2:50 .53 *5,54 k4 0.73 1.;,10 13,4e 6085,27 41.92 3,23 --2t7:777.- -15793 -11153 19,59 711.71 88!8.24-22..^.5 7.-32-49. 21 ,4,38 24.19 29.24 13.70 6.6.-42 04.2, 55.51 "37..40 40,30 42,44 18,01 7214,17 32.33 4,99 .24 4.21 13,10 2.71 .32 1128,29 .63. . .1' -25-15.33 -15.22- 22:1.4 11:74 6109.28 16,92 4.42 ' 3.01-13.11 __26.39 2.5-42_4.03a..4a. 42,17 3,33 .J1 27,72 17.76 27.30 39,/7 14.53 8452%58 38.32 42 16,22 13.12 12.89 22.43 3926.82 .61 .22 44 14,33 3.30 16.21 4,35 5386.22 11,94 1,12 44 18,56 14.75 25.12 19,11 15,44 11.85 6633,11 45 16.38 9.91 27.88 1445 5163.56 38,4 13 ,5 44 14.44 11./0 2'3.44 11...27 6158..29 8.36 22.17 47 --15,5d9,15 20.79 11,92 5442,97' 21.53 7.61 46 15.24 9.34 19.25 11,11 5415.24 25.17 41.35 41 14,66 4670,34 29.72 28.77 32.10 1.98 .51 4 14.53 3.17 16,84 9.24 5579.94 4,47 53.40 41 5.18 3.96 26-21 13,27 18.64 .38 5372.37 42 17,34 11.90 22.26 12.56 55c1.12 49,44 4.6; 44 17,96 13.34 27.2316,16 3612-.46 2,83 17.56 44 3.4.33 13.44 13.91 11.41 58;6.74 21.1,3 3.91 4,:i 22,77 21.11 98.42 14,11 6637,52 15,:6 :,9,16 4 2.5,35 25.45 42.72 17.32 6/11.57 :8.13 7.15 47: 3.36 16.88 15.34 :.16 4232.13 .78 ,26 4d 25.42 17.24 13.31 6829.25 21.33 12.68 4,99 -44's -7,,---. 95:13-9:22 -27742 16;'69 4594:25-,..44.1-2 12.35 1-6.23 19.12 11.34 5919.63 23.2! 23,49 :1 23.4 42.,..o ,... 47 4',.. .4t 7 1.32 19,36 23.27 15.14 12.o 38 3916,5i .44 2,61 r.3 13.92 15.18 31.58 13.68 3571.48 .17 .29 :4 9.27 18,8a 17.82 :1.78 3717.92 .37 2,14 277- 4. Table 83 243 Standard Deviations of MSS/Topographic Data Set for 54 Original Cluster Classes CL.L.87t1 Band4 Band5 Band6 Band 7 ErtaCH( 1) 13.78 2 3..80 1.32 4 .9C 6 1.07 .1.7 4 5 1 fa 12 1J 14 15 16 17 id 19 2 41 22 23 _ 24 25 49 47 .87 ,97 1.57 Iaz .39 1.19 .37 1.62 ,80 ,a5 1.95 2,07 '83 52 1.27 1.11 .35 .35 .97 1.78 5.40 C4c 2) 14.3/ 6.65 1.38 1.33 1.75 2.00 1,62 1.51 2.63 2.22 1.3: 1.64 1.47 2.85 1.57 1.34 2.31 2.37 1'55 1.21 2.02 2.12 1.31 1.36 1.64 2.43 6,07 28 .32 ;91 29 1.00 1.38 1,35 .2.e ,73 17 1.1 a 1.1: 1,74 1.45 2.45 2,67 1.84 1.10 1.69 1.98 1.39 1.74 1.68 2.66 4 41. 42 4.1. 44 J5 J 4 .98 a2 1.16 1,12 .79 .90 41 42 1.12 43 44 1.30 .73 1.46 1.64 2.25 1.46 45 ..,,51 1,9 4,6 1.60 .85 47 44 45 1.21 62 63 4,0; 1,43 1.34 1,94 24 ,15 .99 .95 2.66 1.62 1.82 1.5a i..74 2.01 1.91 3.08 1.48 r.:1-4 i 31 12.80 5.65 1.94 1.79 7,43 3.03 1,76 2.07 3.42 2.36 2.33 2.39 1.74 3,96 1.57 1.33 3.08 3.55 V4f 4) i,60 3.08 t,37 1.14 -...73 2.16 1.23 1,43 2,49 /,33 1.53 t.35 1.23 2.70 1.21 1.23 2.55 2,48 1.07 1.'17 1.61 2.40 2.94 1.47 1.47 2,20 2.42 4.88 1.28 1.67 2.51 4.61 2.05 2.08 2.95 4.15 1.62 2.63 2.43 2.74 2.04 2.45 1.37 2.31 1.35 2.33 3.17 1.78 1:77 3.55 2;27 3.57 1.51 6.08 1.23 1.108 1.31 2.20 3:4( 502.19 460.27 557.85 419.54 6:0.71 376,46 291.21 418.04 469.93 727.65 1..19 271.3, 704,87 1.59 3.13 4.46 1.62 2.48 3.69 2.7, 5.17 421.35" 663.47- 1,35 1.36 5^8.52., 3;40,23 679.04 2.34 1358,22 433.31 335.95 351.62 883.31 1.13 1008.28 1.47 535.11 2,48 438,35 4,67 32,74 2.60 946.7; t.15 727.30 4.49 285.28 .94 449.59 Table 3L. 4,74 9.75 3.10 4.98 2.64 2.74 6.75 6.31 1,88 1.58 1.66 ..02 2,58 2.27 8,37 2.85 4.55 4,71 21.32 3.33 4.25 9.16 322.71 298.91 783,71 480.69 448.81 539.34 300.47 437,57 926,13 734.58 423.45 637,19 735.32 366.12 Aspect -,4( 63,4,05 549.36 1,06 1263.32 1.06 538.43 .1,57 3,4.99 2.13 709.17 826,11 2.60 240.62 .91 1.18 352.55 1.85 3455 1.55 4.29 2.07 9.93 Slope 5) .90 3.13 2.35 11.36 .85 3,79 4,83 8.4; 2.42 4.17 3,53 1..87 2.26 6.07 2.84 2.7: 1.66 5.73 tAZ 3.74 5.36 3,41 1.34 1.27 .54 1.13 7) 21.33 19,33 4,54 7.15 :42 9.21 13,67 24.39 .45. 11.02 20.74 11.49 15 74 10.47 14.01 13.99 15 75 10.30 6.71 13.92 1,3.98 5.55 5.95 48,44 9,31 22.91 4.63 11.77 3.31 18.76 3,14 10.67 9.45 12,37 9.77 6,47 16.44 6.14 10.44 /7.66 11.32 13,49 a61 13,51 13.67 3,49 13,96 t6,a5 16.13 6,68 2.57 8,88 Colo!. 'Coded digitized Slope Map of Crater Lake National Park and Vicinity. Figure 35 Color-Coded Digitized Slope Aspect Map of Crater Lake National Park and Vicinity. 4 - ,-1 .._ iket*,... .ufh .. . list. -..17 . P .0' , I. Figure 36 -4 . ... -46-4 .. )" a 246 and vicinity. In Figure 35, surfaces with no slope sucks as surface of the Lake or sections of Pumice desert are shown in dark blue. Steeper slopes of inner rim walls and mountain peaks are shown in shades of bluish green. Shades of red have been assigned to the gentler sloped surfaces of the study area. Color codes of varying slope aspects in Figure 36 may be understood from the coloration of the inner rim walls of the Lake, matching those colors with similar slope aspects of other areas within the Park. It should be noted that slopes and slope aspects of the National Park in Figures 35 and 36 have been classified in one and five degrees increments respectively for calculation purposes while coloration variations are much less refined. Slope aspect was initiated from true north in a clockwise direction (see Table 83). In the analysis of cluster classification results, all criteria mentioned in "a" through "f" above, were jointly analyzed, and cluster decisions were made with regard to surface cover types (Figure 37). Explanations with regard to cluster (class) symbols in Appendix II and color codes of Figure 37 follow the current discussion. The Fifty-Four Cluster Classes were first divided into forested and non-forested areas. Non-forested areas were combined into one single class and remaining cluster classes were classified according to their similarities ignoring their slope and slope aspect differences. As a result twenty-three surface cover type classes were designated 247 as Simplified Vegetation Classes, and Figure 38 was developed for these new classes. These simplified vegetation classes are presented in Appendix III. The twenty-three and fifty-four cluster classifications were then correlated to the fifty-seven Downed Fuel Study Areas (DFSAs) by organizing their similarities from three major points of view: a. Comparison of their spectral values i. e. weighting their spectral values (Tables 73A-81A) with those of twenty-three, and fifty-four cluster classes. b. Matching DFSAs topographic information such as elevation, slope and slope aspect from Table 72, presented earlier in this chapter, with similar criteria in the twenty-three and fifty-four cluster classes. c. Comparison of forest characteristics of DFSAs such as density, and maturity with the twenty-three and fifty-four cluster classes of surface cover types. In all comparisons mentioned above, NASA U-2 color IR photo- graphs were employed as an intermediate tool in locating specific locations of DFSAs, and registering them on computer print-outs of the fifty-four cluster classes. As a result several cluster classes were combined and Figure 39 was generated with 13 generalized Downed Fuel Classes. 2 2" 54 CLASSES CLUSTER CLASSIF. a: ORIG. II III NMI MIN II II III II II KIM IIIIII II MI Ill 0 IIII Key :o Coior-Codes, or Figures 37, 33, and 17) 4411 . 1s 1* I 20 2t 34 133 34 37 30 32 S3 SI 34 I I 22 241 231 251 271 39 44 Af 42 I 13 I 2 44 S4 Figure 37 (see text for explanation) I 39 231 343 31 47 I 32 44 -)! 2:SIMPLIFIED VEGETATION 23 CLASSES 11111111r III Key ro Coior-Codes, for Figures 37, 33, Ind 39 t 2 11 (21122123 a II 12 1$ 1 t7 t$ I It H14.2 41 . 50 1511=1 53 26 271131 29123 43 14 Figure 38 (see text for explanation) 47 1 44 250 IIII 11111 1: DOWNED FUEL (1711) U.S... Key to Color-Codes, For Figures 37, 33, and 39 4 1 17 la 33 1 34 I 23 1 :24 24 37 311 A 33 14 s ? 1 IS 1 10 24 Z3 40 44 1 2a I 42 I It i2 n 23 43 44 Figure 39 (see text for explanation) ,i 1 1! to 29 30 IS 1 1 44 1 1 is I 11 1 31 I 32 1 47 I 44 251 It should be noted that the downed fuel classification results are to be considered provisional and will be randomly field tested in the near future. A computer print-out of downed fuel classification is given in Appendix IV. Before initiating the section on description of symbols utilized in these three stages of classification, it is appropriate to discuss briefly, the color reproductions presented in Figures 37, 38, and 39. Color arrangements of these photographs are in accordance with the new IGOR colors whose color arrays and hue planes are represented in Figure 40. The colors arranged in an 8 x 32 array. In this manner, 248 color choices have been made available to the IGOR users. In the processes leading to the development of the color scheme seen in Figure 37 and its Key, Table 85, (original cluster classification), an attempt has been made to choose colors from IGOR color arrays, which hues are conveniently recognizable by the unaided eye. In Figure 38 sets of several groupings of the original cluster classes have been assigned a single color. In order to follow the rearrangement of color codes with descriptions of classes, see Figure 41, and the 252 Table 85. Key to Figure 37 and Appendix II Color-code and class # Class Symbol Surface cover types of the 54 cluster classes 1 B Cliff, very steep, S.S.E. slopes. 2 C Bare rock and/or pumice. 3 D Mountain Hemlock, medium densely stocked. 4 E Mountain Hemlock and Shasta Red Fir, densely stocked. 5 7 Young Mountain Hemlock, medium densely stocked, on northeastern slopes. 6 G Young to mature Mountain Hemlock forest, medium densely stocked. 7 H Mountain Hemlock, densely stocked. 8 I Medium densely stocked young Mountain Hemlock forest on southwestern slopes. 9 J Caldera rim areas with light grass cover. 10 K Plimce lands on varying slopes. 11 L Mature Mountain Hemlock forest, medium densely stocked. 12 p r Inner caldera rim walls. 13 N Medium densely stocked young Mountain Hemlock forest on southwestern slotes(gentler slopes than class 8). 14 0 Brush with few trees. 15 p Mountain Hemlock predominant, with some Lodgepole Pine, densely stocked forest. 16 White Fir and Ponderosa Pine with some Shasta Red Fir, dense forest. 253 Table 85(continued) Color -code and class # Class Symbol Surface cover type of the 54 cluster classes 17 R Pumice lands on western slopes. 18 S Pumice lands with grass cover type. 19 T 1 Lodgepole Pine forest, densely stocked. 20 U Lodgepole Pine and Mountain Hemlock, poorly stocked forest(if at rim areas Lodgepole Pine is replaced with Whitebark Pine), medium densely stocked forest. 21 V Very young eneration of Mountain Hemlock an or Shasta Red Fir, densely stocked forest. Brush on well drained plmics lands. 22 23 X Lodgepole Pine poorly stocked(if at caldera rim areas, it is shadowed pumice or lava). 24 Y Shasta Red Fir and/or Mountain Hemlock with approximately 15% Lodgepole Pine stands, medium density forest. Very poorly stocked Mountain Hemlock forest on very steep slopes. 25 Z 26 0(zero) 27 1 28 2 Water(outside the Lake at caldera rim areas it is dark, shadowed lava or rock outcrop). 29 3 Densely stocked Lodgepole Pine with some Ponderosa Pine or Mountain Pumice with grass. Pumice. Hemlock. 30 4 Very poorly stocked Mountain Hemlock on less steeper slopes than class 25 254 Table 85(continued) Color-code and class # Class Symbol Surface cover types of the 54 cluster classes 31 5 Cliffs, very steep,S, S.W. slopes. 32 6 Mountain Hemlock and/or Shasta Red Fir, clustered canopies on flat surfaces. -Z 34 7 Dense Lodgepole Pine forest with some Mountain Hemlock. 8 Mountain Hemlock and/or Shasta Red Fir, clustered canopies, on steep slopes. 35 9 Medium densely stocked Mountain Hemlock forest on very steep slopes. Predominantly Shasta Red Fir and/or Mountain Hemlock forest with some brush or Lodgepole Pine, medium density forest. 36 'Medium density White Fir forest with some Mountain Hemlock stands. 37 38 Mountain Hemlock forest, dense, on western steep slopes. 39 Pumice on flat lands. 40 Shasta Red Fir and/or Mountain Hemlock predominant, some Lodgepole Pine, medium densely stocked. 41 Caldera rim walls(steep slope). 42 Densely stocked young Lodgepole Pine forest. 43 Dense brush with scattered White 44 Bak Lodgepole Pine medium dense forest, with Ponderosa emphasized on northeastern section of the Park. 255 Table 85(continued) Color-code and class # Class Symbol Surface cover types of the 54 cluster classes Medium density Mountain Hemlock forest on less steep slopes than 45 class 9. Pumice with thin grass cover type. 46 47 = Mountain Hemlock and/or Shasta Red Fir, medium to densely stocked forest. Very low density Lodgepole Pine forest( if at rim areas, it is replaced with Whitebark Pine). 48 Dense Mountain Hemlock forest with some Shasta Red Fir. 49 1 50 0/ /0 Pumice, lava or bare rock with thin grass cover. 51 # Pilmice lands, nearly flat. Low to medium densely stocked Ponderosa Pine forest. 52 53 v Dense brush. 54 A Mountain Hemlock and/or Shasta Red Fir, densely stocked forest. Table 85 256 New IGOR Color Arrangement (248 Colors) L GREY LibcALE TREE tos0.4XN UP GRE F RED JAPE GYn N otkp.t.m.E Color Wheel iKtf Y-o rtmti.E o Intensity GREy scALE Increases Hue Planes Maximum Saturation (IGOR2) +10111 Saturation Increases Figure 40. Adapted from IGOR manual (1979). Key to Color-Codes, for Figures 37, 38, and 39 1 2 3 4 5 6 7 8 9 10 11 12 13 14 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 Figure 41 15 16 258 key, Table 86. On Figure 41 the array of fifty- four original classes have been represented as they appear under Figures 37, 38, and 39. The number within each square indicates the class number in the original cluster classification. Thus, in studying color codes in each figure, the reader seeking the meaning of a specific color should consult Figure 41 for the original fifty-four class number, and then refer to class description in the appropriate table. Descriptions of the original fifty-four cluster classes is given in Table 85. Description of classes combined in the simplified vegetation classification map, and in the downed fuel classification map is given in Table 86 and 86 respectively. Fuel classes in Table 87 have been grouped from the original fifty-four cluster classes with regard to dominant forest cover types, and their downed fuel characteristics. Cover types and downed fuel amounts for those classes are given in Table 88. For a better understanding of this procedure, numerical cover type characteristics of downed fuel amounts within fuel classes shown in Table 88, are given in Table 89. It should be noted that areas presented in Figures 37, 38, and 39 represent an area considerably larger than that of Crater Lake National Park. In fact, the figures cover the area for which Landsat MSS spectral/NCIC topographic data sets were 259 Table 86. Class Key to Figure 38 and Appendix III Class Symbol Original 54 cluster classes combined * 1 A Classes 32, and 34. 2 B Classes 19, 29, and 33. 3 C Classes 3, 11, and 35. 4 D Classes 24, 36, and 1+0. 5 E Class 37. 6 F Classes 7, 38, and 49. 7 G Classes 1, 2, 9, 10, 12, 17, 18, 26, 27, 31, 39,. 41, 46, 50, and 51. 8 H Classes 42, and 44. 9 1 Classes 14, 22, 43, and 53. 10 J Class 45. 11 K Class 47. 12 L Class 48. 13 v II Class 52. 14 N Class 54. 15 0 Class 4. 16 F ., 17 ..)'" Classes 5, 8, 13, and 21. Class 6. 18 R Class 15. 19 S Class 16. 20 T Class 20. 21 U Class 23. 22 V Class 28. 23 v; Classes 25, and 30. * For description of classes refer to table 85. 260 Table 87. Key to Figure 39 and Appendix IV Class Class 4 Symbol Original 51+ cluster classes combined* Color-codes and their (purposes)* .1m1mININ 2 A Class 28. B Classes Elack(water) 2, 9, 10, 12, 17, Light blue (non-haz18, 26, 27, 31, 39, ardous for 410 46, 50, and 51. forest 1 fires) Classes 30, 32, and 34. 3 Light brown (Mountain Hemlock, low density) 4 D Classes 3, 5, 8, 11, 13, 21, Med. brown 24, 35, 36, 401 and (Mountain Hemlock, 45. med. dense) 5 E Classes 4, 6, 7, 15, 38, 47, Dark brown (Mountain 490 and 54. Hemlock, dense) 6 F Class 48. Yellow(Lodgepola Pine very poorly stocked) 7 G Classes 20, and 23. Light green (Lodgepole pine, low density) 8 H Classes 42, and 44. Med. green (Lodgepole Pine, reed. density) 9 I Classes 19, 29, and 33. Dark green (Lodgepole Pine, high density) 10 J Class 37. Light orange (White Fir, med. dense) 261 Table 87(continued) Class Class Symbol 7 11 K Original 54 cluster classes combined Color-codes and their (purposes) * Dark orange (White Fir, high den, Class 16. sity) 12 L Class 52. Red(Ponderosa Pine, med. density) 13 M Classes 14, 22, 43, and 53. Purple (brush) *For complete description of color-codes, and individual classes refer to Figure 41, and Table 85. Table 87 26 2 Fuel Classes and Amounts of Downed Fuel in Hach Class Class Symbol A 3 C D Cover type (density) Original 54 cluster Downed classes combined fuel(t/a) Mountain Hemlock and/ or Shasta Red Fir, (low density) Mountain Hemlock and/ or Shasta Red Fir, (medium density) Classes 25, 30, 32, 9.06 and 34. Classes 3, 5, 8, 13, 21, 35, 36, 40, and 32.90 45. Mountain Hemlock and/ or Shasta Red Fir, (high density) Classes 4, 6, 7, 15, 36.70 47, 49, and Lodgepole Pine, (very poorly stocked) Class 48 Lodgepole Pine, (low Classes 20, and 23. 14.32 Lodgepole Pine, (meiium density) Classes 42, and 44. 16.77 Lodgepole Pine, (high density) Classes 19, 29, and 32.08 White Fir (medium Class 37. 18.75 'Class 16. 41.45 Ponderosa Pine (medium density) Class 52. 14.20 Brush Classes 14, 22, 43, 54. 0.35 density) F H 33. density) I White Fir (high density) K and 53. Water Class 28 Pilmice and "Areas Classes 1, 2, 9, 10, 12, 17, 18, 26, 27, 31, 39, 41, 46, 50; and 51. Non-Hazardous For Forest Fire" Table 88 Numerical Specifications of Fuel Classes Cover type Density (%) Mean % canopy area forested Mean crown size (feet) Downed Fuel ST Dov. Means(t/a) Mountain Hemlock/Shasta Red Fir (poorly stocked)* 15-30 23.38 30.62 9.06 +1.15 Mountain Hemlock/Shasta Red Fir (medium densely stocked) 30-65 55.89 34.19 31.79 +12.19 Mountain Hemlock/Shasta Red Fir (high densely stocked) 65+ 80.28 33.09 36.71 +22.38 Lodgepole Pine (very poorly 15 11.21 11.80 0.35 Lodgepole Pine (poorly stocked) 15-30 21.07 14.83 14.32 +7.53 Lodgepole Pine (medium densely stocked) 32-65 41.43 19.39 16.77 +8.53 Lodgepole Pine (high densely stocked) 65+ 72.54 21.31 32.08 +8.45 White Fir (medium densely 30-65 36.36 22.83 18.75 White Fir (high densely stocked) 65+ 75.61 29.67 41.45 +16.44 Ponderosa Pine (medium densely stocked)* 30,65 61.07 47.25 14.20 +4.99 stocked) stocked)* *Omitted density categories did not exist within the Park. Table 89 264 available. Park boundaries are represented in dashed lines which have been added manually onto photo negatives. Finally, it has been concluded that the diagonal stripping effect on the photos, especially in and around Pumice desert are due to multi-variable data analysis. In the other words, analysis of MSS/ topographic data sets with the cluster program should optimally have been subjected to, at least one further iteration.* *Personal communications with Mr. Gregory Smith, Space Sciences Laboratory, University of California, Berkeley. 265 Chapter Summary This chapter has focused on MSS, topographic and field observation data analysis of this study. This procedure took place in two stages. First stage analysis was conducted with Oregon State computer facilities during which field data were clustered with regard to DFSAs MSS spectral/NCIC topographic values. The second, or final stage of analysis was done on the computer facilities at Berkeley Space Sciences Laboratory, Berkeley, California. During this phase of study a complete set of MSS spectral/NCIC topographic data were analyzed. As a result, surface cover types of the study area were clustered into fiftv-four classes. With further analysis of the fiftyfour original classes a set of simplified vegetation classes was developed. Finally by correlating these findings to downed fuel field observation data a downed fuel map of the Crater Lake National Park was generated. Three color coded photographic products with regard to original fifty-four cluster classes, simplified vegetation classes, and downed fuel amounts were originated, and their specifications were discussed. Chapter seven is a summary and conclusion of this study. 266 CHAPTER 7. SUMMARY AND CONCLUSIONS SUMMARY This research has focused on utilization of Landsat 2 MSS and NCIC digital topographic data for wild land surface and cover type mapping and downed fuel tonnage/acre classification within Crater Lake National Park, Oregon. In identification and mapping of surface cover types through "ground truth" activities; Landsat reconnaissance and operational specifications, Landsat MSS data limitations and capabilities, and influences of topographic elements of the study area in altering MSS data acquired by Landsat sensor system have been evaluated. Furthermore, as a complimentary research tool, NASA U-2 color infrared photographs have been utilized and their advantages and limitations to that of Landsat MSS data have been considered. Data Acquisition Techniques Acquired data in this study included: a) digitized Landsat and NCIC topographic data and b) conventional data acquired through "ground truth" activities. Landsat MSS and topographic data were both in computer compatible tape (CCT) formats. Landsat MSS data acquired for September 10, 1974 were owned by Dr. James F. Lahey of Dept. of Geography at Oregon State University. This tape series was chosen 267 from among several other MSS tapes because: a) Data were free of bad scan lines, b) Data were acquired during relatively high-elevation solar angle c) Data were acquired under cloud free conditions, and finally, d) Due to seasonality, at the time of acquisition of these data, the ground surface within the National Park was free of snow. For this reason the MSS data represented adequate spectral reflectance ranges from the variable surface cover types. Digitized topographic data were acquired from National Cartographic Information Center (NCIC), Reston, Va. NCIC topographic data tapes contain digital information of elevation at about 208-foot horizontal intervals. By computer assisted programs these data from the digital topographic map were organized into the digital slope and slope aspect maps used for this study. As complimentary data for this research NASA TJ-2 color infrared photographs were utilized. These photographs were obtained from NASA/Ames Research Center, Moffett Field, California. The color IR photographs were in four different scales: 1 :122, 000, 1:30, 500, 1:30, 000, and 1:7, 400. The latter photographs were enlargements of 1 :30, 500 scale IR photographs mentioned above, and were processed at EROS Data Center Sioux Falls, South Dakota. 268 "Ground Truth" Activities Data from field observations were acquired during summer months of 1978. Two sets of observations were taken; 1) estimation of downed fuel moisture contents were made at designated time and space intervals, and 2) another set of observation was made of the amounts of downed fuel available for wild fires under sample forested areas within Crater Lake National Park. For moisture data collection, twenty-four Fuel Moisture Indicator Sticks (FMIS) were established at various sites within Crater Lake National Park. Moisture content measurements were made from these FMISs through the months of August and early September of 1978. With regard to second phase of field observation, fifty-seven sites were selected within the Park and amounts of their downed fuels were inventoried. In the selection of downed fuel study areas (DFSAs), necessary con- siderations were observed so that each DFSA represented a specific forest species or forest species complex. For inventorying downed woody material a Planar Intersect Method developed by James K. Brown (1974), was employed. This methodology was preferred over similar procedures because it was the most recognized and suitable downed fuel inventory- ing tool for forests in the Western high-lands of the United States. Furthermore, the method provides the user with estimates of downed fuel amounts per unit of forested land (Tons/Acre). Finally, it is a 269 fast and time saving methodology for inventorying downed woody material with 80 percent or more precision, an accuracy which is generally considered adequate by scientists working with forest fire related problems. Through field observations with regard to inventorying downed woody materials it was learned that although a wide variety of conif- erous forest species exist within the National Park, only the following species are dominant: a) Mountain Hemlock (Tsuga mertensiana), b) Shasta Red Fir (Abies magnifica), c) Lodgepole Pine (Pinus contorta), d) Ponderosa Pine (Pinus ponderosa), e) White Fir (Abies concolor), and f) to lesser degree Western White Pine (Pinus monticola). Within "ground truth" or DFSA sites, stands of these tree species varied from pure or 100% of single species to less than 5% mixed with other species. Accumulated field data revealed that amounts of downed woody materials varied significantly within the various DFSAs. The minimum amount of downed fuel within all inventoried DFSA was 0.35 Ton/Acre, inventoried under a very poorly stocked Lodgepole Pine forest. The maximum amount of downed fuel was 91.67 Tons/Acre inventoried under a very high density and mature Mountain Hemlock forest. In general, surface and surface cover types of non-forested areas within the National Park included: 1) Pumice or bare rock, 2) Water, 3) Pumice lands with a few or sparse trees, and 4) Pumice and/or lava. In accordance with spectral reflectance characteristics of 270 these non-forested surface cover types as determined by a detailed computer cluster analysis at the EROS Data Center by Walsh (1977), 47 different non-forested sample sites were detected, bringing this study total number of sample sites (forested and non-forested), to 104 within Crater Lake National Park. 271 Data Analysis Techniques Based on field observations and Landsat MSS data for 57 DFSAs, twenty-nine parameters were created to depict surface cover type characteristics associated with amounts of downed fuels within the Park. Analysis of these data was accomplished primarily at Oregon State University, and then final analysis of the total MSS/topographic data set for the entire study region was conducted at Berkeley Space Sciences Center at Berkeley, California. Preliminary Analysis at Oregon State University The twenty-nine parameters mentioned above were established in accordance with downed fuel amounts, forest type characteristics, topographic elements, and MSS data specifications of all ground truthed areas (DFSAs). In analysis of these data a dissimilarity clustering technique developed by James A. Keniston (1978), from Oregon State University, was utilized. This program uses an agglomerative clustering technique to classify a set of entities based on comparison of their attributes. Utilizing this technique, forested and non-forested surface cover types within Crater Lake National Park were classified into subclasses. As a result pure stands of dominant forest types were classified with precision. Furthermore, dissimilarity cluster analysis created nine subclasses for 57 DFSAs, and twenty subclasses for non-forested sample sites within the 272 National Park. Final Analysis at Berkeley Space Sciences Laboratory The final stage of data analysis was performed at Berkeley Space Sciences Laboratory, Berkeley, California. The computer system utilized at Berkeley was an interactive Nova 840, and a standard Nova linked together by a data transmission line. Compli- mentary units were a color video display, a memory disk, a magnetic tape driver, and a line printer. At the Berkeley Space Sciences Laboratory, a Landsat spectral/ NCIC topographic data set of the Park region was classified by a clustering algorithm. This is an unsupervised classification program that separates a set of multidimensional data points into clusters of similar groups. Each cluster is represented numerically by a "center" or means of all features, and a "width" or a set of standard deviations. To develop the cluster set, the program cluster employs an iterative process, and refines clusters in each iteration. As the process continues, clusters with too small standard deviations are combined into a single cluster, while clusters with larger standard deviations are divided into two new clusters. The refinement will stop when a measure of "goodness" (set by the user), has been achieved. As a result of the clustering procedure, surface cover types of the Crater Lake National Park were classified into fifty-four clusters 273 (classes). Later they were generalized into twenty-three classes, as "simplified vegetation". Correlating characteristics of fifty-seven DFSAs to these fifty-four clusters, and twenty-three classes, a itdowned fuel" map was created. Throughout these processes for identification and classification of various surface cover types within the Park, NASA U-2 color infrared photographs were utilized extensively. Finally, from all three classifications, color coded photographic products were reproduced. 274 CONCLUSIONS Within mountainous forested areas spectral reflectances of a single surface cover type may be altered due to slope, slope aspect and canopy density, maturity, and crown size. The problem of slope and slope aspect influence in surface cover type mapping and classification may be overcome by application of National Cartographic Information Center's (NCIC), digital terrain information to Landsat MSS data. To the knowledge of the analysts on this project, this is the first attempt of this nature. For a better result, solar radiation intensity on varying slopes and slope aspects should be calculated for the time of Landsat data acquisition, so that proportionality of reflected solar radiation for different slopes and slope aspects could be defined. Landsat bands 5 and 7 are best for vegetative cover type differentiation. These bands combined with the other two Landsat bands (4 and 6) provide the basically available digital tools for all surface cover type classifications. Variations in spectral reflectances of boundary pixels between two different surface cover types is indicated by the spectral reflectances of adjacent cover types, and the proportion of the pixel area divided between those two surface cover types. Practical solutions for this problem have not yet been created. Interpretation of NASA U-2 high altitude color infrared 275 photography is a useful technique in these Landsat MSS, NCIC topographic data related classifications. Such color infrared photographs are of special importance in classification of vegetative cover types due to the fact that they are acquired in similar ranges of the near infrared region of electromagnetic spectrum, where atmospheric scattering affect is at a minimum, and for this reason, spectral reflectances of vegetative cover types are enhanced in this portion of the electromagnetic spectrum. NASA U-2 color IR photographs have better resolutions and larger scales than Landsat, but they lack the capability of the Landsat system in gathering repetitive spectral reflectance characteristics of surface cover types. The analysis of these photographs employed relative to Landsat data is a qualitative rather than quantitative. Ground truthing is a most important factor in Landsat MSS data related studies. The extent of ground truth needed is directly related to the complexity of the terrain, surface cover types characteristics, and details expected in classification. Spectral reflectances of forest species not only vary due to species type, but they vary also with canopy maturity. Younger tree species show higher reflectances than mature trees of the same species. There also exists a close relationship between cover type maturity and density, and amounts of downed fuel available for forest fires within the forested areas. The magnitudes of downed 276 fuel vary significantly among different coniferous forest species. Mature Mountain Hemlock forest generally has the maximum amounts of downed fuel, while young and very poorly stocked Lodgepole Pine forest have the smallest amounts of downed fuel within Crater Lake National Park. Environmental moisture patterns within the National Park during summer season is the function of air temperatures and precipi- tation amounts over the region. The mountainous topography of Crater Lake National Park creates rain shadows, and numerous microclimatic regions within the Park. For this reason, and for a better understanding of the climate of the Park area a large number of climatic data recording stations and snow data would be useful. Cluster classifying of Landsat MSS data is an adequate tool for surface cover type separation. This approach gives the best result when it is combined with multi-scale NASA U-2 color infrared photographs, and adequate "ground truth" information. In this respect the clustering techniques may be referred to as "controlled unsuper- vised" classification. Within mountainous regions, application of Landsat MSS data to surface cover type mapping can be combined with NCIC digital topographic data for the region, to provide a better result with regard to separation of vegetative classes and downed vegetative fuel amounts. For multi-variable spectral/topographic data computation and analysis, interactive computers with video 277 color display units like the one at the Berkeley Space Sciences Laboratory are necessary. Finally, in Landsat MSS data related studies, limitations and capabilities of multi-spectral scanner data must be appreciated. Furthermore the complexity of these limitations in mountainous regions must be considered so that misinterpretation, and thus misclassification of surface cover types are avoided. By increased "ground truth" activities and adequate field observations, the problems may be reduced to a minimum. 278 POSTSCRIPT The reader has undoubtedly noted that fuel moisture ground truth readings have not been integrated with digital satellite data analyses as have all other surface derived data. This was a portion of the original plan of action, but was eliminated by the unfortunate failure of the Landsat 3, Band 8-the terrestrial heat sensing thermal radiation band. Perhaps this study will serve as a "structural guidepost" for such a study in the near future. 279 BIBLIOGRAPHY Beckman, John, A. "Communications For Imaging Systems" In: Manual of Remote Sensing. Robert G. Reeves, ed. American society Of Photogrametry. Falls Church, Va. (1975) pp. 589-609. Betts, Frank I. and Dickenson, Russel E. "Fire Management Plan, Crater Lake National Park." Unpublished Fire Management Plan Directives for Crater Lake National Park Oregon. On file at Park's headquarters, Crater Lake National Park, Ore. (1977). 26 p. British Columbia Forest Service. ''Forest Service Protection Bulletin, No. 4,Victoria, B. C. (1955). Brooks, Fredrick A. An Introduction to Physical Climatology. University of California. Davis, California (1959), 264 p. Brown, Arthur A. and Davis, Kenneth P. "Forest Fire: Control and Use", McGraw Hill Book Company, (1973), 686 p. Brown, James K. "A Planar Intersect Method for Sampling Fuel Volume and Surface Area" Forest Science. Volume 17, Number 1. (1971). pp. 96-102. Brown, James K. Handbook For Inventorying Downed Woody Material. USDA Forest Service. General Technical Report INT-16. September (1974) 24 p. Brown, James K. and Roussopoulos Peter J. "Eliminating Biases in the Planar Intersect Method for Estimating Volumes of Small Fuels" Forest Science Volume 20. Number 4, (1974). pp. 350-356. Buffo, Jhon, Fritschen, Leo J. , and Murphy James.. "Direct Solar Radiation on Various Slopes from 0-60 degrees North latitude" Pacific Northwest Forest and Range Experiment Station. USDA Portland, Oregon PNW-142 (1972) 74 p. Burgan, Robert E., Cohen, Jack D., and Deeming John E. Manually Calculating Fire-Danger Ratings - 1978 National Fire-Danger Rating System. USDA Forest Service. General Technical Report INT-40 Ogden, Utah (1977). 51 p. 280 Coulson, K. L. , et al. "Optical reflection Properties of Natural Surfaces" Journal Of Geophysical Research Volume 70 no. 18 pp. 4601-4611. Dana, Robert W. "Solar and Atmospheric Effects on Satellite Imagery Derived From Aircraft Reflectance Measurements" in: Proceedings Of The Tenth International Symposium On Remote Sensing Of Environment Volume 2. October (1975) pp. 683-694. Deeming, John E., Burgan, Robert E., and Cohen Jack D. , The National Fire-Danger Rating System - 1978. USDA Forest Service, General Technical Report INT-39 Intermountain Forest and Range Experiment Station, Forest Service USDA, Ogden, Utah. 63 p. Estes, John E. and Simonett David S. Fundamentals of Image Interpretation in Robert G. Reeves, ed. "Manual of Remote Sensing", American Society of Photogrametry 1975. pp. 8691076. Fosberg, Michael A. "Climatical Influences on Moisture Characteristics of Dead Fuel: Theoretical Analysis" Forest Science Volume 17 (1971) pp. 64-72. Fraser, Robert S. Effect of The Atmosphere on Electromagnetic Sensing Of The Earth' s Resources From a Remote Platform. In Remote Sensing of the Environment: An Eleven-day Short Course. Engineering and Physical Sciences Extension University Extension, UCLA and TRW Systems 1965. Grabau, Warren E. Pixel Problems. U.S. Army Engineer. Waterways Experiment Station. Miscellaneous Paper M- 76 -9 1976. 38 p. Holkenbrink, Patrick F. Manual on Characteristics of Landsat Computer-Compatible Tapes produced by the EROS Data Center Digital Image Processing System. Version 0.0, US Geological Survey 1978, Revised Dec. 1978,(1978) Howard, James 0., and Ward, Franklin R. "Measurements of Logging Residue -- Alternative Applications of the Line Intersect Method". USDA Forest Service. Research Note PNW 182 (1972). 8 p. 281 Janza, Frank J. "Interaction mechanisms" in Manual of Remote Sensing.Robert Reeves ed. American Society of Photogrametry Falls Church, Va. (1975) pp. 75-179. Johnston, Camron M. "Downed Woody Material Inventory Computer Program" USDA Forest Service INT Northern Forest Fire Laboratory 4400 Forest Fire Research. (1975). Keniston, James A. Program Cluster -- An Aid to Numerical Classification Using the CDC Cyber Computer. Pleuronectid Project Technical Report No. 2 Oregon State University Sea Grant (1978). 32 p. Lamb, H.H. Climate, Present, Past, and Future Vol. 1 Methuen & Co. LTD, London (1972) 613 p. Lancaster, James W. "Time lag Useful In Fire Danger Rating" USDA Forest Service. Control Notes. 31(3) (1970) pp. 6-8, 10. Lillesand, Thomas, and Stevens, Alan R. "Remote Sensing" In: Elements of Photogrametry. Paul Wolf Ed. McGraw Hill, 1974. pp. 472-500. Muller, R. A. "Transmission Components Of Solar Radiation in Pine Stands in Relation to Climate and Stand Variables" USDA Forest Service Research Paper PSW-71 (1971) 13 p. NASA, 1978. Landsat Data Users Notes, Issue No. 3 (11/1978). NASA. Data Users Handbook, Document No. 76SDS4258, (2/9/1976). NASA/Ames. Airborn Instrumentation Research Project, Summary Catalog #12. July 1 - December 31, 1977. Ames Research Center. Moffet Field, California. (1977). National Park Service. Dept. of Interior, Environmental Assessment, Draft Visitor Use and General Development Plans, Part III & IV of the General Management Plan, Crater Lake National Park. Denver Service Center (1977) 213 p. Nunnally, Nelson R. "Introduction to Remote Sensing: The Physics of Electromagnetic Radiation". In The Surveillant Science, Remote Sensing of the Environment. Houghton Mifflin Company. Boston. 1973 pp. 13-27. 282 Oregon State Forestry Department. "A Fire Season Severity Rating System" Studies and Development Section, Fire Control Division (1969), 31 p. Ritter, Paul, and Kaugars, Agnis. "CLUSTER-Users Guide, Version 1.0". Remote Sensing Research Program. Department of Forestry and Conservation University of California, Berkeley, California. Second draft, 1978. Rosenberg, Norman J. Microclimate: The Biological Environment. John Wiley & Sons, Inc. New York. (1974). 315 p. Sabins, Jr. , Floyd F. (1973b) Engineering Geology Application of Remote Sensing in Moran, D.E. ed. "Geology Seisimicity, and Environmental Impact" Association of Engineering Geologists. Special Publication 1974, p. 141-155. Sabins, Jr. , Floyd F. Remote Sensing, Principals and Interpretation. W. H. Freeman Company. San Francisco, Cal. 1978. 426 p. Schroeder, Mark J. and Buck Charles C. 1970. Fire Weather USDA Forest Service. Agriculture Handbook 360, (1970), 299 p. Smedes, Harry W. , et al. The Mixture Problem In Computer Mapping Of Terrain: Improved techniques Of Establishing Spectral Signitures. Atmospheric Path Radiance, and Transmittance. NASA Earth Resources Survey Symposium. Volume IB. Technical Session Presentations. Houston, Texas, June 1975. pp. 1099-1159. Stanley, Morain A. (1974) Interpretation and Mapping of Natural Vegetation in: Remote Sensing: Techniques for Environmental Analysis. Hamilton Publishing Company. Santa Barbara, Cal. pp. 127-165. Sternes, G. L. (1963) Climate of Crater Lake National Park. Crater Lake National History Association. National Park Service. (1963) 12 p. Swift, Jr. , Lloyd W. "Algorithm for Solar Radiation on Mountain Slopes" Water Resources Research. Vol. 12. No. 1 Feb. 1976. pp. 108-112. 283 USDA Division of Forest Fire Control. "1970 Wild Fire Statistics" State and Private Forestry Corporation (8/1971) 59 p. USGS, Department of the Interior. Topographic Map, "Crater Lake National Park and Vicinity, Ore.: Scale 1:62, 500" (1956). Van Wagner, C.E. ''The Line Intersect Method In Forest Fuel Sampling" Forest Science. Volume 14, Number 1 (1968). pp. 20-26. Walsh, Stephen J. "An Investigation into the Comparative Utility of Color Infrared Aerial Photography and LANDSAT Data For Detailed Surface Covertype Mapping within Crater Lake National Park, Oregon" (1977) 356 p. (unpublished doctoral dissertation on file at OSU, Corvallis). Williams, Howel. The Geology of Crater Lake National Park, Oregon. Carnegie Institute, Washington, D. C. Publication 540. (1942), 162 p. Williams, Howel. Ancient Volcanoes of Oregon. University of Oregon Press, Eugene, Oregon (1953) 68 p. APPENDICES 284 Appendix I FUEL MODELS* *Deeming, Burgan, and Cohen. The National Fire-Danger Rating System - 1978, USDA Forest Service, General Technical Report INT-39 Intermountain Forest & Range Experiment Station, Forest Service, U.S. Department of Agriculture, Ogden, Utah. 285 FUEL MODEL A This fuel model represents western grasslands vegetated by annual grasses and Brush or trees may be present but are very sparse, occupying less than onethird of the area. Examples of types where Fuel Model A should be used'are cheatgrass and zedusahead. Open pinyon-juniper, sagebrush-grass, and desert shrub associations may appropriately be assigned this fuel model if the woody plants meet the density criteria. The quantity and continuity of the ground fuels vary greatly with rainfall from year to year. forbs. FUEL MODEL Mature, dense fields of brush 6 feet or more in height are represented by this fuel model. One-fourth or more of the aerial fuel in such stands is dead. Foliage burns readily. Model 3 fuels are potentially very dangerous, fostering intense, fast-spreading fires. This model is for California mixed chaparral generally 30 years or older. The F model is more appropriate for pure chamise stands. The 3 model may also be used for the New Jersey pine barrens. FUEL MODEL C Open pine stands typify Model C fuels. Perennial grasses and forbs are the primary ground fuel but there is enough needle litter and branchwood present to contribute significantly to the fuel loading. Some brush and shrubs may be present but they are of little conseouence. Situations covered by Fuel Model C are open, longleaf, slash, ponderosa, Jeffrey, and sugar pine stands. Some pinyon-juniper stands may qualify. FUEL MODEL This fuel model is specifically for the palmetto-gallberry understory-pine overstory association of the southeast coastal plains. It can also be used for the so-called "low pocosins" where Fuel Model 0 might be too severe. This model should only be used in the Southeast because of a high moisture of extinction. FUEL MODEL E Use this model after leaf fall for hardwood and mixed hardwood-conifer types where the hardwoods dominate. The fuel is primarily hardwood leaf litter. The oakhickory types are best represented by Fuel Model E, but E is an acceptable choice for northern hardwoods and mixed forests of the Southeast. In high winds, the fire danger may be underrated because rolling and blowing leaVes are not accounted for. In the summer after the trees have leafed out, Fuel Model E should be replaced by Fuel Model R. FUEL MODEL F Fuel Model F is the only one of the 1972 NFDAS Fuel Models whose application has changed. Model F now represents mature closed chamise stands and oakbrush fields of Arizona, Utah, and Colorado.. It also applies to young, closed stands and mature, omen stands of California mixed chaparral. Open stands of pinyon-juniper are represented; however, fire activity will be overrated at low windspeeds and where there is sparse ground fuels. FUEL MODEL- 0' Fuel Model G is used for dense conifer stands where there is a heavy accumulation of litter and downed woody material. Such stands are typically overmature and may also be suffering insect, disease, wind, or ice damage--natural events that create a very 286 heavy buildup of dead material on the forest floor. The duff and litter are deep and much of the woody material is more than 3 inches in diameter. The undergrowth is variable, but shrubs are usually restricted to openings. Types meant to be represented by Fuel Model G are hemlock-Sitka spruce, Coast Douglas-fir, and windthrown or bugkilled stands of lodgepole pine and spruce. FUEL MODEL E The short-needled conifers (white pines, spruces, larches, and firs) are represented by Fuel Model H. In contrast to Model G fuels, Fuel Model H describes a healthy stand with sparse undergrowth and a thin layer of ground fuels. Fires in H fuels are typically slow spreading and are dangerous only in scattered areas where the downed woody material is concentrated. FUEL MODEL Fuel Model I was designed for clearcut conifer slash where the total loading of materials less than 6 inches in diameter exceeds 25 tons/acre. After settling and the fines (needles and twigs) fall from the branches, Fuel Model I will overrate the fire potential. For lighter loadings of clearcut conifer slash, use Fuel Model 3, and for light thinnings and partial cuts where the slash is scattered under a residual overstory, use Fuel Model K. FUEL MODEL J This model complements Fuel Model I. It is for clearcuts and heavily thinned conifer stands where the total loading of materials less than 6 inches in diameter is less than 25 tons/acre. Again, as the slash ages, the fire potential will be overrated. FUEL MODEL K Slash fuels from light thinnings and partial cuts in conifer stands are represented by Fuel Model K. Typically the slash is scattered about under an open overstory. This model applies to hardwood slash and to southern pine clearcuts where the loading of all fuels is Less than 15 tons/acre. FUEL MODEL L This fuel model is meant to represent' western grasslands vegetated by perennial grasses. The principal species are coarser and the loadings heavier than those in Model A fuels. Otherwise the situations are very similar; shrubs and trees occupy less than one-third of the area. The quantity of fuel in these areas is more stable from year to year. In sagebrush areas Fuel Model T may be more appropriate. FUEL MODEL 3 This fuel model was constructed specifically for the sawgrass prairies of south Florida. It may be useful in other marsh situations where the fuel is coarse and reedlike. This model assumes that one-third of the aerial portion of the plants is dead. Fast-spreading, intense fires can occur even over standing water. FUEL MODEL The 0 fuel model applies to dense, brushlike fuels of the Southeast. 0 fuels, except for a deep litter layer, are almost entirely living in contrast to 3 fuels. The foliage burns readily except during the active growing season. The plants are typically over 6 feet tall and are often found under an open stand of pine. The high 287 pocosins of the Virginia, North and South Carolina coasts are the ideal of Fuel Model 0. If the plants do not meet the 6-foot criteria in those areas, Fuel Model D should be used. FUEL MODEL P Closed, thrifty stands of long-needled southern pines are characteristic of P fuels. A 2- to 4-inch layer of lightly compacted needle-litter is the primary fuel. Some small diameter branchwood is present but the density of the canopy precludes more than a scattering of shrubs and grass. Fuel Model P. has the high moisture of extinction characteristic of the Southeast. The corresponding model for other long-needled pines is U. FUEL MODEL Q Upland Alaskan black spruce is represented by Fuel Model Q. The stands are dense but have frequent openings filled with usually inflammable shrub species. The forest floor is a deep layer of moss and lichens, but there is some needle litter and smalldiameter branchwood. The branches are persistent on the trees, and ground fires easily reach into the tree crowns. This fuel model may be useful for jack pine stands in the Lake States. Ground fires are typically slow spreading, but a dangerous crowning potential exists. Users should be alert to such events and note those levels of SC and RI when crowning occurs. FUEL MODEL R This fuel model represents the hardwood areas after the canopies leaf out in the It is provided as the off-season substitute for E. It should be used during the summer in all hardwood and mixed conifer-hardwood stands where more than half of the overstory is deciduous. spring. FUEL MODEL S Alaskan or alpine tundra on relatively well-drained sites is the S fuel. Grass and low shrubs are often present, but the principal fuel is a deep layer of lichens and moss. Fires in these fuels are not fast spreading or intense, but are difficult to extinguish. FUEL MODEL T The bothersome sagebrush-grass types of the Great Basin and the Intermountain West are characteristic of T fuels. The shrubs burn easily and are not dense enough to shade out grass and other herbaceous plants. The shrubs must occupy at least one-third of the site or the A or L fuel models should be used. Fuel Model T might be used for immature scrub oak and desert shrub associations in the West, and the scrub oak-wire grass type in the Southeast. FUEL MODEL U Closed stands of western long-needled pines are covered by this model. The ground fuels are primarily litter and small branchwood. Grass and shrubs are precluded by the dense canopy but occur in the occasional natural opening. Fuel Model U should be used for ponderosa, Jeffrey, sugar pine, and red pine stands of the Lake States. Fuel Model P is the corresponding Model for southern pine plantations. 288 Key To Appendix II, 54 Cover Type Classes Om. A A 2 3 a a ...- --- A A A 2 3 4 b b b A A 1 2 A 3 A 4 c 1 A A d A A 1 2 e A 3 e d A \ 2 f ' A 2 Om. 9 \ 1 Om. d A 4 Al A A 4 5 A A A 3 L....._ 9- --- - 4- A A 2 Cm. h Cm. cm. 5 e f \ Om. A 6 \ e 1 \ f A 6 ;_\ A 5 h A Cm. Cm. ii Cm, Om. 5 4 3 h A \ 5 f f \ 1 e A 3 \ b d e an 5 \ A A Om. \A \ A 4 3Q \ Om c c A \ 2 1d 1 Figure 42. _. 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c[ccuctomxtr.1,1111IntErAmxtriutcccrEccccmomKiacciwironner9oneecencioor ICCCCIACHK0Km0 .p0MPGECCFCEFECFCCCUCCGCCCECCCKKKKIWK011110P10009001IEFFE00 mvC11147Cc0KF4c0InIFUG11111EEECCEGCGCCLUC114KK0KKOD11101)00001)0000EEFEEE101 1410011CCEEKK141CUFECCFUGCCCCC11ECCUIFFMKKE0004111/0C10000100/1EFESEE111 0141011GCGCC4m44(ICChNEECCCCC0CFCCMGEGCCCCC4144101G1100041131I000EGfCf616141 144CCGCC0HCHGCCC4EFEECCGCTEEFfilIFFEEEFEK0010001fE/FOOKKK001090EfEEEEEE10 141CCCECHGEOMIODIEG0CGIGEFFEEEIOF.0661CIE4040000CEFf00004040,MMIMECEEfl1Ai 11C114101144111111HIGUGGEGG06(010410(EtT(114000001EFEEK000000C000001191.1440 1IPPEUE/110~01-MCGGGGGLGEECUOIEFFFCCCCK00040CECEECtECCUKCROOPMINC90111 rEEFIG104014111D1100416cGGEIGGE001tIEUEEFT000001ECEEEEFFEECm000400.40GGGICE 6EE0.111[01000004111161H0CCCGCCC11I0I1E01E10101KEIFFEIFIIEHOP00000905GEECC McGCCEN104,0010011GGcL6GLGCCGFOOP00010011401016111004CCHLGOOOKKKICCGCCO GUILCG11/4111'40491CCGCCCCG0/00/EEIIIIICETKOOFECEFIKKKGEE00E000001EEE000 IlL III 111111$! 1IIIIIIIGCCCCHIICIGCCII 1111,1 IPCCCICCCCCCKOKOOI 110000001110000 11111601343104101111/41/016G16CEEE/00CECEE/11E11 I000000/0010110C1JJ11001 PIALGLCOMHOGGOOCOMACEM91011110000JICKEEFJJOOJE00/0000000044RU111100 ePoLuctfloonnoonempacnisnopocumitiwonJATErnoutfotononooltiman 000901.0010049001391[040(001000CCOCCCOOJJJJEWEJJJ9011.094004C00000DE 110003C1F00009CC400JC00101LIG6JCC9000CJGCTEjJJDFJJJE100DDJM40)110000 0000CCCOOODO4C00040DEFADDCCJEFT3FEJJJ0F3JFElEEI1J00/0JJEIJ0000 D011000000000000000000JJDOJJJEFTEECEJJ30CEFEFFITJU330EJEEDOEJJJFOOD 10000C0000404041Mr09000000001a11EE040.1JJJA3J1J3J0JJ4Jt00007000131) 0047111101401GmiCH0091W0MM01000001M00130/11JOJCCCCJOOJJ000JJ00011 CHEFECEGGl6G10111000401100CH1COOOKK441110GAIMECDEEE3100000014140/ OKCKCG1.EEFGGG100000003C16111G000400001FA1EECLU1lCH00000000K9E140C MCCCOLGL11110000000000(ff1a04000000006CEECE14101111000001GOC1001 C00011MGLOOML10000000VOUFFEE1/00000000000000EEK000000000CIFEEE0C 11mo10KC9411(GE0100000000K0HEF10000000400000110.:1000000001_1(111(00 CHMOOKCMCGrEE00000001KUCCC111G1000011001000010(01100001111441GCEEEE0 00004004DEEFF00000KKKC0560CH10041110000UUKKKKK00014111C0091K11CC1 nrnenononnorlomolmyuccrwmcccmcmsmitioccccccurincoummommilli 011H00010410114CCCGCCCHM13404C00014WMW134100001011111CHMHWOimmflH000C4 1011.000000CUCCGA100 ht19/100044MHOM0ti0MMHCCCCCCCHAmmmmmm0OHMOCP c0v0M00C4KIIKHCG4/11100m4WCCGCCGH9M1146,441(1O11111 t010/01MNHCOIMI1 I01IC ACMCHMCGCPOINHCCOMMCMCIIMIIIIICCCCBCCWIIIMMCHHHHHPVICI011011111111111 C1.cctincii 1 1CC111111 1K 111141K1114100130111011110040111M9111i1111CCIIIK1111000000 NCCCC/041041G6C10111110131K00Ct1IM0HC041110404041C0/410011001/0140001 143CCIIMMUGGGGGIOICCCCGMCCCCCCCUCliC11141H1IG0011000KK01441CHHICHIC 1111111411141116001.1.1011K$441CCC01(001)01010KC1)00000KK001111100101 0111(0010(111G5E/CCGGLGGIACC10(0004KEKCH000040110000IIIIEEHHODI 11%404114441106GG1110449110M0HCC4MEM1444o1C0Mh91411WK14104:411000 1141111KKIIIII101141AGGCGC6FCGKCKEEC011H11GMOMMUUKKI44111000011 11%410144WHG0r01311011LGGGC1.0001011114C00104%000C0010410400011114 lampoommwmomminnennLGccmcctioryounoornonountioionetcomm 0094840500994M44911.11WC6t0110011000441911441411001l000940H0 1.149444640909m141073GIGNFC011611.40/PPC141141000040001100/1000014 171+1 cn000p80mmkn00Fr00pnwituvu09Porw00wnonon00lim5Nfitimc 1219 1220 1221 1222 1223 1224 1225 1226 /010000110440P40011.6W4161_11F/04000011000000000OHN5 00MMMMII 00GG0C0110MH0430411G6C11000/100414111010000000991140GUMG0/ 122 7 1224 1229 91000110040141140011111/44100111. 001001141040F000179000CC0101000110 milinticlommiummlocmorIccmcmiucoonunimmorocummoumw tiocHKG44o000(44K10099090000000000110000001'OK100 K66990111 clopowillonoonnonneonnonerpnomrunoneRvirotimcmwmo 1144100C00CC9009304444P044,,490000004011111130X44m0000/ m0000000C11.11111.114000004040011000001400044C1)04310041400 pinommicuittuonnwqtrnauttliticcmionwmnmwqme 100009/197101L010494990400OL411101.1 m04111100101CCCCUMMK0D 000000000014901004044400011010410110000011M0C010C0K0 0000400000440000400090416101M00000000 14141 IFECC0C00 1231 1232 B 1233 1234 d . 1235 1236 123? 1230 1239 1240 1241 1242 1243 1244 1245 1246 024/ 1248 1249 1250 1251 1252 1253 1254 1255 1256 125f 1255 1259 1?60 1261 1262 1263 1264 1265 1266 1267 1268 1269 1270 177( 1272 1271 12/4 1275 1276 1277 1271 12/9 1200 1281 128? 1203 1284 1285 12136 1207 1281 12e9 1290 1291 1292 1293 1294 1295 Oen 001101109eriel 660GGE EE G 1000111111911001GeGG EC GE EC e1111 F100911)(0OL LIGE FEEFEGE CE 0111cc11HcmcccnctmGEErir.c K 0000811911 lE1EFFEEEEGGCGGC (1101111111KOVGNCE GGK EE 99595( SIC FEES FEE EEC FCC; 0911 wont iscccucccE E I1K0000E 00110CCCGE1E1 EIECCGCGCCG 9011 onnpittothrifirtmoknourmoo poomm11(10000KKCGGEG661111110011(1ffitieuMMH1)000000EK 1100(108E009000001WEEIGCUGGI1X00OHIMMIMI110900EEEC C01190111100011CC0OCIFEECCCK I [DOM: CKC19101113f ODFECHKE 001n000liDICH09000KUCGCGEf EE051011EOPEEEKE.GMCGCG OEOOCMCHCMMC,0011011KIF 1E1 OKOIMIODOKEEEEGGGKKCCGIL COUKKKKKCMMMDE 11110011KKIIK00U11EOEEE ECCCGGCCI: (ICE EEODICKKKKOUC ritieliffitiODOOMMOKEEEKCCCEECECCCEEE C KUM< «kommten(94990ok nom, EtEEGGGEFECCGCCE GG CCKK1110(KKKECti9tInG11110001(FIFEFOOK IECCGGCCCE1 GE GGCKI(KCIICKF 10111EDOOKE1111.KK 11DMIKICCCHEEEEGGE GCCGKEIEEKKKEEDDEEEEFEE K Kent-AM:ICC KLEE( E GE 16617.161 KI(KG11FEEFf Eft KKGuHPF PKGMEEEGCGGGGGE KnE ECFf ECC KIC IOCKKKKKG11C KWICHMCGEEEGG6G6GEE LCMICH06COGI1IGE DI GOBCOEEHEEETEEI 16666E1 cfnenserkEttst OGLOGCOGOrlOOFEEEEEGGGGGGGEF COEMFGG9GCRGrIGG99fc coeuthoc,GGGGGG6666111 I 11. GE ILECIGG4 66961001109(IEEEEEEEEEEEEEE 160661.66111.111GtinG1 0C0001101(KDEEGEUGGGE G GE fci.Gcocc (IC OGGIL0000001000KKIIKGGIIGGGEG GeGEtt EGLECLGCGGOIC0011000000KKDIKG1411GGG E II H1GGCGGGEGGGCGGCEIEE DICIIPOODKOK00111011 I I G MI I I 1 1 1 ) 1 1 1 GEFFEEEEEEIECGG6G1 mu) minloommiumGcui CGGCCISGGGCGGCCCCGrifleCliK11KH1101 tcnow4mi ccu:GEGG6ccceccecctstim000101(Ht111011111 1011(CCGGCCL GGCCGGCGLCCGGCUGliCCG 11100 IOC K(0i1161(11GCCGCCGGGCECtIefiliel GEE 11001/111 90)10001111iGlIGGCGIGGEG05161611191011111 OGGDDCHIUGCCCGCCCCEFEECGEGfeiDO/OPKG C1100010(CGCCGCCCCEECEECIGEECGH0000UN CJEJOOKGGCCCEEfEEECEEEECCCCKUHCOOD11 JJOJGFCGGEtEEETEEEFTEEEGGHCG09000C 1111CGKCGEEEEEEtfEEECEGECCGOGOOBUCGH GGGGNEEFECCIEECEECEECCUE00000HUID GGnftEEEFECEXGEfECCEEFF0890CGIIKIf HUEEGEGGECCGCCEFGEffFEIGOPOCIIKHP FEECEGGECECEEFECCVEUEEGC00001111IG EGCGCGCEEGGCLEEECEEEEEEEOUGMIDDC CGCCGG6666GEFEEFEEEFEEK10000001 EEEEEEECUEEETEEEfEEIICKEIIIKKKK CEIGEEECEEEEEEIEGEEEEEOKOMCKe EGI_Gff_GIMEEECECCCCGCGCIKKKKHGC G1EEEC131.9GGGCCGGCGCCCCKKKKKKI EFTECCICELII.CCCCCCCCCGCCK1KKE FEFECoGfECtGECGCGCGC1GGEEEKKI CUEGEITEGLGEEteGaGeGGGEEEE11 Cf;6111K.G4GGLGCCIGGGECCEEECH EEFEGICCGGC1GIALLIGCfEECIIN ECE(FEUGGEEECCIAGICEEEEEFEI ffEEETEEfCGEECGGGLCCGEEEEGO EEUFGEGCCGEFGEFGGEGCEEEEEJ 0111141111H+14.11E0f4000CCCE1E 0011111190090001EJJOJJEEDJJJ (1I008019441GEWIEJJJ3OUEEE G54909041IIEEn0JJJJEE101 oG9ORPO0AU10000CJJJJJEEE WIII01.111(4111114G01101100EJJJE noorwicr,looluppngnillEucc KIDOCEIKKEVIODDROKEGHCKJ VI00000P000019109KK900KE 12 91 129f 1299 1300 1301 1302 1.303 1304 1305 1306 1307 1300 1301 1310 1311 1112 1313 1314 1315 1316 1317 1310 1349 1320 1321 1322 1321 1324 1325 1126 1327 1126 1329 1330 1311 1332 1333 1314 1335 1316 1337 1330 1339 1340 1341 1342 1341 1344 1345 1346 1347 1140 1349 1 35 0 1351 1352 1453 1354 1355 1356 1357 1350 1459 1360 1361 B A .okINIIIMiummututommuk CiECIEFOCOOPOOoKUO001 11FM11010009O040001 IfEFFEEEIEF0000011111 JJJEFKKKCK0(10001ECEE 1.1.1.1.111111KEEKKKCC1C KCJJ4ECCFCKKKK1CC1C JJOJJJKIKKKKKK1c1C1 "KEEEJJJJJEKKKEECK EEKKUJFEJJEFEEEIKE 111011113MEEKM 1KKH0OKKEJOOEECCK FKIOOD000J3MEEE KKKKKKOOCEJEJCIU 0014KEKOOCCCEE143 11000011KKKticoot. CCcCODOOOOKOCDE ICHOMMOoKomMOM MMEMCOOOCOUDO COMME1001M1110 MO10000em11 mw H1114000010EHO0 EKOOEFEFECO1 CFMEE.107101 CEDOEO000001 001EKKKKKKC KOEOOKKEpK1 COOOKKEODE CCM1fEEE CMCCUEE C1H1P4Ooro, /CMCCE1 I:11CM", 110077$110 KHOOOOC 1111000 OOKOKK OKKKKC 11CKKK 00001 00011 HoKW IIIC KKK HIN O1U KR KC 1035 1036 103/ 2 1038 a 1039 1040 1041 1042 1043 1044 1045 1046 1047 1048 1049 1050 1051 1052 1051 1054 1055 1056 1051 105 8 1059 1060 1061 1062 1063 1064 1065 1066 1067 1068 1069 1070 1071 10/2 1073 1074 1075 1076 10/7 1078 1075 1080 1061 1082 1083 1084 1085 1086 1007 1008 1089 1090 1091 1092 1093 1094 1095 1096 1091 Ilan IC G6110109000000C 11111IESI111000000000000 1111GG1111IIEE101111116011100110001 11:1,G61111161(6 III 1 I 161- II ill 11G6111111110000001 111116E111M IEG1 131 tunoonnouo 11111111 MI111111166GGEEGGGIDIIGG 1 1111;GGGGG6GGGIIIIIIIIGGI1 111 IlFG1111 III0000000r 1099 B 1100 itot 2 1102 b 1103 1104 1105 1106 1107 11011 1109 1110 1111 1112 1113 1114 1115 1116 III? 1118 1119 1120 1121 1122 1123 1124 1125 1126 1127 1128 1129 1130 1131 1132 1133 1134 1135 1136 1137 1)38 1139 1140 1141 1142 1143 1144 1145 II fit 116/ It l l i t l I I (I 1,14,11110,tt IIGGGIGGGGG6EIGGGIGGGG6GGGGGG6E1000°1111111111111111111E6G6GGIG6GG11111114;6111111G611111116FIII00090000 41H111111GGIGFOMGGG1GEGGGGGC,CAGGGGGGGCGGGED09001111111111111111161161EF66G.6610/11,616IIIIGc6111111G6111trIEFOOOODU EGGG6611111DIDIG6GEA016,GGEGGG61666G6GGEGGGEEGEECD09110001101111111G1I111f1EGGGGI6M11111111166111111GG61111111c1OnOODODU GGGGGGI1 101919111GG61,610G6GGGGGIAGGGGGGGG6G6GG611.011110111111191111111111.111311E6Iff,G1161 1141 IIAG111 116r,r,GIGI 11 1E111 1111909110r GGEGGGGIIHOOPPFrIHH61166GG116G6EGGIG,GUEGCFFTEFIU0000000000W10091111000E1I1E66611111111UGHIIIHC66611116611;11091 DE1115-0000 EGGGCFGE111100DOEEGGGGFEEEEGGEGGIEGGGGEGUG66GGIU000010000010UOODOOGEEGOU000GEEGGGIIGII1IIIIGGGGGIIIGIGCG 1311100110100 JOJEIEEMODOWE66666FEGGGGEEEfEGGG6GGGEGGII911001I0C0101°000°DFFEFE011POOGGGIIIIGIIIIIIGGGGIIIMA It IGEEG/tomEcEpoop JJEJJ1111I00001If6G661A6000G61,61E1E6000666111101010001)10001901n9OFEEDIECOlIGIGGGfl1IGIIIGIG11,1 ,,6 11411GGEE11101EEFG1IlfOt FEE1111I111110001(TGUCEEEEGGG16GCGICFG11111111111100001I101GID191GOIGIEE111111G661111(411111GGG1111fIGGGE1111EEIDOIIEPHDP EFIfi00119K91161-09E1GGGGFEGGGGGGGEITGGI1GGEE01111IID90111111106111IIKElIG1111411fIlIGGIG111111666611111E11111IECE1000 GllUD1GE601601661FIMEEEGE6GGGE.G1601611WEIG6U1DBUII°00001IIInEU1111116611E111GtIGGIIIG11111111E111G11E1111EIIIIIIEGEO0000 DEIOGGGGIE99611HIMEUtEE601GFCCGOOODGGGGGIG11111111019111111OnfE10000ff_DOGa1111C16611IGIIDolIECDOIIGGGIIIIIIGIFF909(7,0009DC tiG614nomm0 tiGIMGGGGIGKIWAGI100GG6G6NCEE100011EV,1113111111111114000D01F1003T111GEIDGIIIC6GEE111611G611P11011GIII1EG66GIGID09COU0000 1111ilE111limmummEcctolliGlit1111litt11tifiliga1ercEEfi0t0lcCEGiGlitGGGGGIIII6I1tl1tiGcoi1W6GGiliGGuGilit0010 611006CItIGGGIFOHDIGHGOGEEIEUIEE00161166HIGGI11111649111CCE61E1010111GGGIW111161161111E11116111100111.43111GG6GEIIGIIIDOVU 0IIMICGGIHIMEEGG116HEEDOECEICKGOOPIGHLGH11111111161111110M10091101GolGIGGII1GF6GGIIIIIIIIIItlIGGG61111GGGGIIGGGGIIDOOE IFGKIIG611911GGGGIGEEDDEFEIJJEJOOD11151119111111111111EGIIIIGGIU10101111GEEDEF1111GGEGIIIGG119111G11113011GG11114GGUIDD001 EfIGHGGOGGGGIIIIGGEOMIDOCITEEJMOGNI-000I1G1111101)11011(0111161111111000FGG6G1161I1666111111111I1111111Ef1011116EUE111000001 HEEEECEIHD6MIGGOBEVOODEUDIE41JEEGI000601111114111E0DIEGIIIMEGG11101111EGE°0666116Gl1GE1116111111111111011I1111EGOIG1100000 OfEEEECCCIE1000001113AnUtFEGCEEJECODEGGIIIIIIIIH11116111111G6G1011111Git19FGGEGGIIGGGEG611G11116111111IIMIE(116611110DIC EODGECEII0901DODdiffOOCCEEEECMDJEUGGGIEE111110111111661116G19011IIIIIDG6GFGH1/II6G6G1/III16611666G6G1IEWGGIIGG([111111C 16EEMSG,1 EN10DDOODETIGGG6CGEGIMMJAGGEEI1GF101111101I1G1111111111G131111111GGGGG111166161:11611GG61111IGGGIIIGGGGIIGGGfifillI1 u 1I04106 1_6C,Gr-KKKKIDDODUOIGCMGGFEECHKMEJru6fIGG6EFFE11111111916111100FGCH11111616GHIGEGGGGIMCGCCG1111111661GGEIIGIICUMIG1111111I1 H6DOGG$I1U1100000DCGCGGGG66GGELCOEEJOIGG6GGGE111111F11111101100G611G1111611G6666611GGGGGGIIIGGGIIII6G6GIIIG6IGG110011110111 OKGGGGGI100°0000FEEGGGG6GGGEGECOM/UHIGGIIIH11111111166100p0OGG011911116GGGG611661G116116G6G1111666GGIIIGGEIIIII61111111C OUGGGGG900°100111EMGGCEGGGGGGOW111119161111111114111110041111E101.111111G6GEGGGP1G6GGG611GGGGEG111111,61111116C11011IITH111111 1104110GDMIDDOOFIUCEGGGEEFEGCGGCCEELHOGGIUID°011610101%0111111111111GGGGHIIGG66661111166GGGIIIIGGIIC1111/1111IIII/1110911 011K0166611111101ECCCCCF6CGCGGGGCKEEEOUGGGIO001111116011111110111111GGGGGFIGIKGCGIIGGIGGGGGG1111111GGC,IIIIIIIIIIIIM111111 DOGGGGGGGG;II0110FECUCCEEGGEECCCUGNEEOGGGGDOIIIIIIIMIUDWOOG9IIIIIGGGGGGGGGGEEGGGGGEIIIGGG1(11111GUIGIIIIIIIIIIIIIII1111 GFIGGF6GGODSC0001CHEUFFC6EqGGGP0611900of110110110111001910OUDIDDOWC1100.11G6GGIGGG6EEGTIIGGG661111IG6G1111111111IIIIIII1111 G6GGG611GGS11E10EGEGEIECEIFEIGGHGCHNKOIHHGUGGIIMIIIIIGIDOOGOEIIIIIIGGGG6G6HGG66116111116GGIIII6511111111IIIIIIIIT11111111 FGEEHGGHWEEEIC6GGE1CC1111116HGGMEm90KIMGRHG1111116191604110GHGI111904111HGUHGG604G6GGEIIIGEGGGEGIIIIICIIIIIIIIIIMIIK111111 tatrGGEEEIEECEEFEGEEEI111111HHEFUJEJEIG1911116H60014111111110116G1IIIIIIUIGGGGGG14C611fiGGGIIIIG6G11111GGIIIIIIIIIIMITIIIIIII ETECCCEEEFFEGCFGEFEE01/11111C111191MCJJFECIOWMG111HCGC10:1111IGH(119M1HGGHG6GGGIGGCAGGIIG6CAGE11111IIIIII111111111111111E ECACCIEFILSGGGEE6111111111010°111,10DEJFEEFGGGGGIIIIIIC61101GG6M11111101611G166GGGHGGIGIIGGGII11111111111111111111111111111 GGEGCCCEFGEGGGGEME0001111001111111W9IM9EEEOD10110110111111G11149111111GGG6H611116666GGIKUGGIGGG11111111111111111111111111G1 MGCCGCGGEETGFEG6ECE11000911(1111110MOKIWVAGOD111,00GWIGomiG1111tcttimmiGG046GGGtGIIGGGGG1111111113/11f111111'11160, CCGGP.GCCG6GGGGEGEFEff0110.00CD100110DIHODKKI9W601:101001106G191011161G11111CCHMIGG6GGHG66(4666EGGI11111611111111111IIIIIG1161 1ACIfEGGGEEGGFEMELE1001)001100011tWUFWMG,G00111111111;11011141WM11,04G6191141CGOMMIGH6GGGGIAG116G111111GG1111111GG111161 GCCGIMIEGGC1:1GuGGGGEFGIIDID10011111106WOHuGGGGH10100111MGG6614G01119GGGGMHHOIGHG6GuGGGGGIG6GGGGI1111661111OUIGG111-111061 0 6601lG11, EFE660HHGGEEEE00110000001011111111101061 GC15,5111EG6;GGGGGEfEEECI0111001I111,011HIMUHUUDIIIPOIDIUIHGIIHNHCGI6GlIGH1fluGGC1OWn6GUMUE14GC1MGIIIEG111111IG1111111GGIIGI 101000011 1116001116,041101601114H9111001HHOH60661, 11116101111111166111111661111066 1A6G111116GGGGGENIIGGEEE111D1IIIIIIHOMOH116GE11111111111111DOGGGGG6G111611191GG.IGGGCHIM1466GGfiGGGGG1111116111111G1:1111GlIGGG 1lCCIICHUMCIEGGGGGGIIHUMEFI0011111111HIMOK101f1HU11111190I1090G666610111111H6GUGGG110,GGGHIHHIMCIG6OIG11111111111GGGIIGGGG61161 114C1916HH11EEFEGG11HMEG1111091111111H111911HEE111H110010000000111111001116HUMWM6GH006011119100004 46061111111GE6GG066E666666066 , 1165 B 1166 1167 1161 1169 1170 1171 1172 1173 1174 1175 1176 1177 1178 1179 1180 1181 1182 1183 1184 1185 1186 1187 1169 1109 1190 1191 1192 1193 1194 1195 1196 1197 1198 1199 1200 1201 1202 1203 1204 1205 1206 1207 1208 0209 1210 1211 1212 1211 1214 1215 12)6 1217 1219 1219 1220 1221 1222 1223 1224 1225 1226 1227 1224 122S 2 111)0111 11110 t II CI, IUItt. 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Il lli.1111MH1.1.1.1rKKKIs K,111,10111 1101JUKI: IEKII1IU1111K1U11111WA t 2 x1ff(ttEvinium6MuJAKKKIEGGGFJJEJEIEIWKUIIKCICDIKIWIEEEICIfCCH/1CCHKEEFJP1U0000KCC111501uKE0011GGGne000000001i900EfF11 1299 0 AWEE(CEEIOIIDIIODDUIKKKICIGEEKJJJJJJ04JJJ(10JJ3J0011:4MGCUCCHWWMEEKEEED001r1UnGlIg00110IF60000011WGGI0e000010I(11114I1E(71C EEFFEEEFOD11100100111TKCCGMEEKKKEJKKCJfJK(JJMNCH 1100 EFEEECGCC0001000000110CGEMEGFECCCCC1CCCK5CK1HMMK 5F6ECIKIIKUODIEJJOEHOOOKOJJECE100011001110IIKOMWD01M0(D000111imfit0FEEI 1301 1102 1303 1304 1305 1306 1301 1305 1309 1310 1311 1312 1313 1314 13(5 1316 13)1 1318 1:119 1320- 1321 1322 1323 1324 1325 1126 1327 1325 1329 1330 1331 1332 1.333 1334 1335 1336 1331 1338 1339 1140 1341 1342 1343 1344 1.345 1346 1347 134, 1349 1350 1351 1352 1353 1154 1355 1356 1157 1358 1359 1360 1361 CCCCCCCCC110111111311EFICGCcCCCCCWINVmhmmimCCHFNIEIII 11161600°00000JJELIOKOOO1J4C170000000610(GC111000G11G1H14111111111EF11010 CCCCMCUE00011111f0011CCHCECCGCCCEEEECEEEK0001n1100 OWDOIDUHnOULEJJFIH090EnJJJF000I011911,011490MOIGGIU11111G111(IIIGGGP FIECCE60011101,113,1110000911E3111111D0q910111)000HGG01010111I01G(4111GEGIGG CGCCCCCEEEDODEODUPCOCEEEEEEEFECEEEEEEEFEE100010(011G)1000E114111EfEEIJEGO000011:11r001000100001111DOGGGGGOWEEGGEOEGFECII KEKKKFKCHEE0001011EEETEfEfEECEEEEEGEEGGCCOODDIU0PG11 OFFEEKECIEODIEEIEE(EHIEFFEATEGEGtEEFO0EJJOOFAIGGIUDF FOU1131$(11111DOKKEEDOKIDEEM4KHG0Cn00D0D0OGGGGGGGGCIf1E1CCEEEflOGGII tHEMCKEEE10611[Ff(GKEEEGKEECED00.13JJJJEOUEUE6IPOODOG 1.111KJJJJJ0060KUHCIGKIOIGGGGCGF11600OKHOFEEfE6GGFIFFEETEEGGGII1110( KGEFFEEIFIDICFEEDDEDEfefffEBOODUWEEGfiliEfF010000KKC 1.111EJJEJJ11114Kk1111CCICCCEEEECCCC110000000EFEEEEGIEFFEEFTEEGONG9IC 1311J11(110M1DDEEDOEF6EED0FAEDOGMICCGFEEE0010VOKKKYK GOIKKKCHmEEEDIIIKICCCEGICEECCCCFCFEt10000191FFEEEEEECEEECFEINIUGII 111101 01E1111K1FOOEFDIFGEFEOOMOOIGGE1FCMLIGGE1000000000006K 111CIEF00110I1DOEFOOHGGcEEEEEECLIGGEEMCCitODOOpOOOKK KCFECCEECCECGIOCEFECCCCGGECWCEEGEOU900001-EttEUEUECEEt00001111110 MNIIFOIEEEtIEGGIIAGFEEFEEEEFEEEICEECFCCCDIC0111VC0001(11 KeCCEFEEECCCEFFEEFFECC(CCCGGCMC111111°00100ECTCFECEFEEEID101011111 GGHlinGCMIVIHMmCCCFECmmlffEEFEEEECGCCCCEEKKKIT0000010KKK KCCEEEECGEEEEACEEEEteFEGEGCmM111541miuDo1111EMEIVIEFEED0IIIIIIPV 1G1HHMMEW1HHIGEEECKLEIEFECEECCCNCGCCCCKII00011:101KKK KCCCEEEEELEEEEEFEEECCEUEUEEFEE111H111110110fFEEEFEFEEEE1011110111 (00(Htimc000ictincEEEEcroHNHCEEFHHCMHHIECCCCCKtODUK51101nKKKO ,CCCC(EFECCCFCEEECGCFEEFEFEFEIIIMHU(11HUHICGHTEEMETE1011f1H11 0000111ED09KEHNWEUXHNKEEEHM4FANMOGCCEECK00000KKKODK0U CCCKKOOFFEEECEECEEEMEFEEF110111011111111111JEFEEFFEUEEEE00111111 000m(1/1110000mUHM000001m1001000MIGGCCCCEECMOKKKKKK0000000 KKKKKKKKKKEEFEECEEFIFFMTEEE0001)09DOIONGEGGEOGGGUE(100601M11 MNIMMODU05000E00001(0110000ken0eneCeloWCOOCKKUCCCK000051(5K 0000000000EEEEEOKKOKEECFCCEE10000000011GCCGEIIEGGGGGOOHOFO00NI EntIOFFP5OHMHMmOf000000:0000M15,01MMIMHNKKKKCCHmKOOKKEIKKEEE 10(110K10(411HCCCKKKIMHHCCCEEEGG00100110010EL:GHIE011,1001040)3011111 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EFFACCGCCCCCHHGCCCCCCCCCCCCCCCCCCCCCKFFEIKKCECCKOKKEEECCCCC00 POODOOOP00DE6091IIDDI00D0ODIFTEGGIDOODEEEEHJEUEEIGGGGMFEE MM1110(CCIIMMHHHCCCGCCCGCCteCCCCCCKCCCCOMEEKHCCKKKEEEMEGHNK000 DOODOODOU0000001111100000E00(GGGGGDOODDOUEFEEEEJEEEIEEGGGG 1140FCCCCHN00060111451(KCCC(XCKFCGCCHEECECKEFFECCCCIMCMGEF00000(0 0001300(300000001E1.110000DOFEGCEEEID06OODIGIGGIEFfEJF0JJEEJ 0101011EFC1110111HCIKGKCCCCKKKCCCCEKCCJKCCEFEECCGCCHMKOK°0000001 )9900061100000001611110000ECEEEFCEC0090000000UGGGGII1G1E361 0000IDEECIAEFFICCIAKKIFEIKIKKC(51fEK3FEEEUCKCCC4MCEEM0000000 00000DOPODUDEfOOFM611101GGEEEFEEGEOHDOOD00010111GGGDOOKE 0000000001100510EOCCUMICGCCCEECCCCCCCKKODOIDO111IIOGGDIODOE KKKKOKCCD0CCCCCCKK5KKOKCIKOKKKEIOKKOJEJECCECCCHCEEEFOUPOD°0000010090UDOODOODOOCEOGGIXECGGEGEGGCGE6CCEF000050011011°1(1100 CCCKKCCCUCEEECKiKKKGCKKKOOCKCKKKODUKCCCCCCEFAMCCEEFEFOODOOKKFEE 110900ff000000130EffyGGGE6G6GGGGcGCCGCCGDOOD1001001011000006 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CKIIIKICCCCOHCCCCCHCCUCHHIMUOMiCCCCCCHCC1G11111111(10110(111KKKKCFFIGC CCCCCCCCKEEKU1011100006UODEDEFEE001(1000EXIDYKI(JEKKKIE KKKGCCGCCC17:KRUCCCHEOKIIKKO<KKKKKI110(1(11GGIIIIIH11111IIIKIKKKKKEIIEE CCCGMCCCKEKKOKK00°00150110nOWE010.01H0000JOKIMKODP00 KKKXECGCCCIIKKCCuIlIKKCKKKKKKKKKKKKIIIGG1111111111111/1100095E11160EUCCCCCCCK00KKO0000OKKKKKIJOBODOWEODO0ODMJJEFOOFEU0 ICCCCCCEC1110.011115041(1CKlm101KKKKKKIKKIIII;111111111111110D011190E0/21F EGG6IECCOEUKKKEEEKDGFCKF.K011000000000010F9000EF0EHGN OfF6FGFOOECKKKKEEFEOKKIWK00000K00000UEEKK00900011008 EEEECCGCCCC10(11111101filluKKKKKKKKIIIIIIGG111191111110600100011I0110CE(11016GEFODDIMCKFFEECEHFK00010KMMHHCFEKDO0115611FCEE CMCCCOMKYKi40(151K1KIKKKKK5111(11111C6COOPD00111K911001011001EUM011 C1CCGCCCESCHKIMUCUKI011131KM10111111K1HDTGEI11111CKIII0101tKKIFCC010KI1 1EEEEEGD010100ECCKKEFEEEJDOCEEmEuK(TH000011981WEHFUE CUCCUCCGCCGICKIKCI5(01111HHIIIIIIKEIHIIKKEIKKO°10111111100(KIKI(F1111001 1W(310(floOlICFCCGCCCFECCEUTFETOKEHE1100911H1tEGEGG MCGCCUCCGCHKKKIIK(11111111111111GEEEDC00001600000°0000C0CFE000011 1111FOIPIDDMIEEFTECCCCCCCEEEFEEfEG5r9UFOIGUEEFfEE EETCCCM:CKCHRKKKKVII1111111111GGIGGINOIIIIDIK1101110111P00010011D I101000000o1OCCUIMEJECCCCCCYFEctinBCAMTEEEEGEE 11111111110CFC101A10EFFECEFFE00Kfill0011fEttEEEEFFGE FCCCCEEFCMIKKUKKKKI111(11(11111GGV;(11110(11111110010111111000v1(11311 ICCCEKCF;CCCCCKTKIWKIOD01111111GGGGGGIIIII11111011111111111EFEEIPUOUD00 011100001G011111EfU,GEGEGEGIHR000111UFfET1tEEFEIFE0 JEKCIEFIE11(CCCC51(u1 1111(IICG11111CGGGGG11111111111111111111111EFJ111111111 1111110110W1D5001E6GEGE1110090p00000EEFUtEEUEEFE6 FJ.13003JJJECCGCCK0KKOW.G1116GGGGGI1111011111111111111CM(0001101001 1011111111EE011110000009,10115r00101T6FECCEGHGHGG 3C313EFEJ31JVCCCCUIMI(C6FEEGGCGGIIIIIC13111011111111UrEFFEE00n000110 1911111(11111101GGGGIGIODBOIIIDDI1lIGHIMMIDIWIIP JJJJEC1FEJJJFEKCCH0F000G6GGGEGET11111111111111111161EFFEE11011011111 000000000001FOOUPIEF6GGUIDOOP000000000AUFIGG090 lEJJE1EJFE311F.3FCGIIHDOLOGGGGGGI11E1 II111111010fGEGF1FEIEfF111111/111 0101111F,10(4301110UFG1111100111100PG00ItI11110515 OCCCJEFJEJJJJEJEIGGHOOODECEEGG1111111111101111UFFUEEEEF111111011111 OP11146111P11E110101111110nr(100001000111911581 UCJCGCCOOJJJJFEJUEGKCOFOKUGIII11111111(111EFIEUFEIWEI10111111111 ttlInEttuttmoototttootitoolomounoonotGGitc ItIE1111101111KUKKIIKKII1101I0010G000001G11116001 1429 B 1430 2 141,1 9 1432 1431 1434 1435 1436 1437 1434 149 1440 1441 (442 1445 11:4444! 1447 1448 1449 1450 1451 1452' 1451 1454 1455 1456 1457 1451 1459 1460 1461 1462 1463 1464 1465 1466 1467 1468 1469 1410 1471 1472 1473 1474 1475 1416 1477 1478 1479 1480 1481 1442 1483 1484 1445 1446 1487 11.115 1489 11.943 1491 1492 1493 , rt a VrifIr1t11.1ft t . 1 L -PA. UN; Milk It UOU111,111:t_ ut E I nu !lull unountji IIJIl110Uti litutmol ow: 1 1)u; tionEE FE 1 0(1411131 FIII 11111000000F 00000000Ef 011111111 1111310000400000000010 001100100441100E0OC IEJE ICOMFG I 1 IEWEI000044101044440011EFEE1111G1 1111149401041111000 00411110111EFETE141400G I 0,1E IDE 11E1 11 I .4, A 1 1 1 1 7 III! 0404440044040000EEEE DE I IE i 1101 Eril DP 1 MU EEMHHHN001C FE D1111.116111IllOttNHOODP0000EDGE OMBEE I 111FF GI nol000nnol MI111111001111610 416611411111E10111,10040011:101E401E0EIGIII00100101114000000/101E16411161, 011 1100110411001401 cootthclomEccomttemmlitimilimm11111EiGormitwoopeounGIOEcOEF1mAi Ifoinonopio000GGII DIEF000opmiucummfmcfcmhtiv0111111iFTGOmmis9 mBe0n000nCCflin111 00001 AnIm411001111 OECCCUEMOOIIJMFMOICCFFCMMIIMIIIE 1Il 1ECHOHE9D800N00 01300110Fn001HI(1 14EE114441104011I nomplmomojrmccElFiccmmoni1111111FEECtfouOnotmou0ollornonninfifitio 11064101111111111 010001GUEEMIE GC 040E FEE 11C114E1 I 11,111E Ec400nr0000000000EH 11-14 0110111 )01W-8111I10101040 BnoommycHmmmoonnOFGEFEEE1FeriffrAFG1OunownoonoOoomEOCrUMOF 8041GII001001001 086014141EEK8M0400ECJJ4FE1E11131111EG4440E0000004440011(3404114104 0001E14144011110 444404fEEEMCH8401FGJICO/EtEEEF111 EE1444KFEE014444004HFOEI1E44444100416040111004C C0440EME040C0441114C04CEEEEEEEIEEJIF4141EE04144010IE0E0404440/4 4000/4100004400 00P41141110ContinficoGcruill(EFEVErfF6063mwoonOutuocGEMFlurOtore1110nonOrilon111000 PEE0E0404440040840414EIIEJJJ111E/EGGN004004FIGGGIFCEETEE4444110100000011I00001 EUEM0040048008444044EGGGEJJEEEEEIIEEJM04401C4G400E4E4OCE44440I 00000401144111 DEOnooDeounmtimmoloocuGGGGE.FUEIMGEtinmmmwmGCmCDFIDIm11110000 1 ouppoopolooDo 09040440400HMM03M000006GGEEEIEEEHGCMMHM MMMMIII01E1111H11 IEK000t 1000040140041 0004040000144410044000DIGGGEEJMIIIE0080004MM/1441111IIIEIEJ140410004444041004 404040084440844011400401,GG1EJCIIIJ4MHMHMEJ4I144411EEIITIIIJI0E0 1001100004001 OOPDUIINMKMl3M41HU004000136611EIEEFCMNMMM0HHCEMMH000El1EEFIEIGGEOr 000404040410 41410D4180411/04.041(0000GGLGGEF.11044844888441.31111411EFEE0C04HEI 000000000000 0404000100KKK01104000GGGGGIEF44C1004c8CCI4EJEIEE0FEE14031841ED 000000001300 4G4E448040040400400466G6666 E0000804m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m044.000E0fE01-EE1E40KK00 4444004 11000000066114,1111K000ncmoDOpEcnf000mEvrom1IOOFEEtl1TEf1100041I414 monocle 4140000Eff04I40E011044641404014000041180E0064440CE.0040414400011 4100004 0404444400840811111448040001E1148401-00E0EPOCETOOEK0080440444 144400 440404800880140100/11418P4100E30CE404E40840040E4E8KKKKEE0044K00 4E1E1 448040400001,8440014114414401048840001E0110040FEOEfEEK1E0004000 EEEEE ottomitimiomtimommmOoKEForioptimiennottFEEouommEcitoDoliOn000DE 1040E 11808440080/10041)00f94000044000104144EUEMKOOOKKOKKK000040FEEEF ETU 01444444104ME414FM4G0(7.00000444E488444ME0C44404100(4444EEEEEEEE 1101 14410081101114111)OK74.441404041E0014E4480)14110P6K00100000EEEE440071 1011 mmitilimmtiocontim4mu000E11009tiEumm44EEEC4410(00EDEEUEEFEFOOOOKK OEf 440CHHC4041(0084040844440EEMNEMm0HENKEEEDEK000804f0ODEECOKKEC 1141 4F44C1(4004EJDEEE4000FEECK0444E80CEECKEK444000808004FEMKENFEG EE 40440411441J304400E0DEEOWEEEHHMEEFKKEKKODOxE4044FEEFEEFKKE EE 001.4E0000.70404,14E1041001TOEDEFHEEElocE884400114EFEEEEGMEKKKCm EE 0EE044488444444DEEPEE000EE40434EEEKKKKIKKKDOKEEM11440CMCC310141.E 4-001I0KMN8M0000147.0EE1444EM44MEEfEKKKI1NKKKKG0MMMM4HMEJEF0340 84fft4108404444044(E4404EE44EEKEEKIIKEEKEE.0048411MMJEEE3KEECE FOUOOKE-0404)4H4FEMOOLEEEFEEIKKKKEEICG144111MECEEDE0M00FEEOFE 0141010444841000041EEEEDEEEFEKRKKK4m8Cm0m4EEEEEEEEEEEEtEEEGO 1090044401.14400167/04PEEEEKKKKE444,4441811EEEECEEC40EEEEEEEE UTEOEEEO00LEEEE1444EFEFEEEEKCriMM0041mITEETECEEEEFEEE04EFEE0 JOHUE4001.111.00DEFEFEEEEEEEE014044MFEmEEEc6KG4E40/40JEEEJEEE 440440E141000EIEFFEEEEEKKEEGM0MHCE11ETECCEF4404000E1COEDEEE 00C110404EfEEE4OVEEFEEXEE640GC8KFOC48EFE040HCDEEEE440EEEDE 041440040114094fEEEEECE=CCG4KOKKC444GEKOKIEE1301101414041 00001EMOVDDEEIEEEEFEECCCFGCKKKCE:444GGOCME844EKEEEEE04JEEE EFOE4114000EEEEEEEECCEGGEECGCCGMEEHGEEEEEEHMEFOEEEEEOEFEEI 9040EEEETTE1.44CEKCGGGEEEMIGKtEEEUMSEEE104044EffEE404490E OnFEEFFFIFEEFucKMETCtinecCOFTEForn0nffvEtIconFEEE0ur000 1495 1496 1497 1498 1491 1500 1501 1502 1503 1504 1505 1506 1507 1508 1505 1510 1511 1512 1513 1514 1515 1516 1517 1528 1519 1520 1521 1522 1523 1624 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1555 1559 B 2 h nEttLEALIALFkiuuluVHCCCulmummumillUtitirOUOLItAutwitmft FEFEEEFFEEEKK1111t11941KKOMO000ODO0 0OF1000006001,000009000 EtEfEEtEEEKKKKIWIH100090000009001116P0000000000961000.01 6EE1EE1FE5110106C611CCOOPO9K10000010991701°000000000090000 CEECE111110,,K1W0K1C101000oKIDUED091106C011DPODOUDOODUDDODU EfftFEEKCHCKKKCIIMOOKEKUVECOWE9f104000000000909000OK FE1EE109911010010110OKKKODF11000001000010000000001160U00000 tErnmoNGKnoponil000moommimmloonnoononnuEcumoc F0411409111600090 0101106000007019111009900V00000000E000011 winwincoontocmuwoopoommouno9nommotonoonommuit M04147)91100001110L0O(C00000600C0 211111080000(0110010969E0000 miumnavimpoopoummucowintioccfmmEntImitt000mic HOOCE011000170600000060001100F1100000100116100 01E11100011 11,001E(l5000000009000001)0000001.10100110001100600161 MHEIED°00000000119M000000000P90011011I01000001G1IJ F110061180000110111006190090090000191111111010111100001 ECE00fOODP001ECEE4000CE0011DODU011111H1I111110100 CJJEU0009DOEEEJ000161180001001VI11104I111111(10,60000 Ed10009111t00080E60010109JE011041104111111110019001 A000JEEDEE000171.00001001109GHIW111141 111111110000000 EEonniocc000poocuommoicicElmittwimmomme 601-046FE0II0006610I1OODICGGGG1) 0M0110081WID9000G 0111117100016008001(MD01001166110010111H144911H000E6 EE1)71)00666D0000010108080MGEG#4011811111111U1000011 10110111011000E00KK1019011C000119-00MH111110000011 006606DMI1E60071KKHfifilfeC6D11111WH11101000101 0000000FOCITE0000X1000101111111011111 00000111000111 000000011111110001WE110000011H000111000EF0000 n01000IttittflomoimpormonoonteillimElmot omatitttommoowwwcommimutccItitoe 090001111H10011111 CKCCCKK0011KH1110100006111000 0E001111019(1,11117..CCKKUKEKHH1M1001710010D00 0010016.10WIliKKIIGILGG008 DIMUCHH0000I100011 113161)EEEMIKKKK11111161100011111240100110001 11101FEEEOMKKKI1H1H061HOOKKHGHOD0000000 NEJEOEEHOCKKKKK1114014111001100H4MI001090010 DE1)1ME0100010KK01000111C11000401< 11K900900000 00119090FOKKKKKKKKKKUGUUDVIIIIIHOWOOODEOC 008901OCOUK11011KEKK71 llGE1111011111100000019100 06E60EK0O0KKKIMUHHHHIGIHH00000901100010 116601E0K061I61091091GCHIWEEE9EEEFFE DM00WIK071:CCO(00KMHIMHH901160009000141 109010111 011*. FF0000119600510EUKKKOK1<E1 IC 01100101n1C6GECKKHMMUCD04K0OOKK001611f 110911161.11111CGCMIM0M0K601000011111616 KCKHGGGGCCLCH0110POKK0001(6K904I1111J1 CK0FCGGGCC09001MCCIOIGEE1110000011EJ KKKCGGGG00N11CCC11CGECCOODUOUEE0161 K000C6G0001001CCG6l6F9011106961:00001 0111(10(10191(10(CMEMDDEJJFEO111)17D1K6 DOODOF1191000166000140BOOJKKIMICGC KD00000K1111H00100191000KCCKEEEOCKE 0001(0909011600(9)0(01CCE1<E01 1E60000 Do70600KU098FEEFFEEI1F6TEEFEKM00 01(06000090KEM6fE1MUEEFfEKKKOKKC KK0K00000KCGCEEMEEK0KOEMK0000 00001011101EJTECUFFTKK0KCX14690001 DKEEFEEELHEFEEFAKKKGC8KCCOOODC 6111.111E1A1E141AITIFKKKOODODE EN0W11111,01CMNFEEEEFE109KKKOII0 11MMHMHINHCCFECCHEK0001I00000 10144MOCEETEEIEKEEEKKI1900900 CGCCETKrEECKKKKCC000000000E MCKKIWAKKECUKKKKKOOKKKKKIM E01000008080001<00100001(01 1141)00100KICKKK 10.15 B 1036 1037 3 1035 a 1039 1040 1041 1542 1043 1044 1045 1046 1041 1048 1049 1050 1051 1052 1053 1054 1055 1056 ' 1057 1055 1059 1060 1061 1062 1063 1064 106,5 106E 1067 1060 1069 1070 1071 1072 1073 1074 1075 107E 1017 1070 1079 1080 1081 1082 1083 1084 1085 108E 1087 1068 1089 1090 1091 1092 1093 1094 1095 1096 1091 ° 00 000100007(1(100n00"4 000300001000001 I 11006010001 I 1000000C I Lit rjLGl t tormoonommoonnoo IGGIIIIIIIIGGIIIIIIIIIIII10I11001II it tiult II lift Ili it irentm000lt nonoonc GIIIti11ittit0l0tIEEm11101GG1000110110011000100 GGGIIIIII1 111IGG I it 1 MGM t 1 It t t t lom Inoto00000000c 1100011611G IGGI1GI 1111111111 1111I1 '11II1II1Gt II 1000011000001000L, 1110160101GGGIWIGGIIGGIIII11111111611111111111 touttootoovionalt IGGIGtiGGM I1116111i I t III III 11111611111111111001-0510110I0 If EC.616011601100111000046000IK 766666 t7cG0tinGtirJ666.)Eprim orG611116610,666 IGGGIIGHIGIG11111111111111111111111111,100006000101090000f ttitill-tT6100000t000000000000 tit t IIIIIIIIG1 t tr.f; IJi rill ti of ot fnot ( I ottmoonnoopootm 1111100111i I0001100100000000110101JFEIOFE 00101111110 I I 1011111101100100000000101100W101CGEEDIMIGGIMGGGGG06160GGGI 0101011GNI1H000601166661116GG III 1 1 011111111G' I III 11100000111000010000DH 1111111-11 II IGGOI I I II WI it Dort toronimont DD01110101111111111tom I it 1011111000011MFF1 TOCCC00060010110110106G0DIG11611§.611-11GG I I I 11111 IGGGI II I IG I 111111111110110001100011 0011000100101G000001 It 10101111101100000E6 liner out: 7011 ntimictsGmfGG IGFPG-1-1GGGG I 16 1G t IGG IGGI0016 0110011101110001101100000010 00000610000PDGI000000I000116111000010000n011G10160010GGGG6910611GT;CGI tGGGGI GGG IIGGGGIIGGGGtoitt 0000G6GG 011000G60110000111 1001000f 0I 00000E IfE uunt opium t inoolitioonommot inmicomtifIGG6cer,G(AIGGcliGGGGIIGGGIIIGGGII0001111000001110001100011100000C 000GGOGGOU1001106006111I90I111111000013000GFE9110.1.11111110101111GGG116601146661166GGIIGGSIIGGGGI nonnunor INDVOGG000011110 f II ICROMMIIIT E.66!'nrC101IIIIG11111111GGG 0GE11111110111111111001110000000 I IGGGI1111111G1 IGGGG11 GGGGGGGGCL 1 000000066000GGGGGOOM II I 1 1110001 101111000111I10000011 I I DOI 0C,G01 OGG1111101111111066660G116GGGI1 GGGGGGG GGGGGGGG 1 W11111111 t I i i 1 I I M00[ Hoorn 1099 B 1100 3 ,,,,,,, ,,1.1110111,111. 1101111 I 00o0floopoloGGIUD66GORDIAltt0000U010009CCoMM001,1416GGG6G6G6uGH(4;1i6CIAGG6GG6666GGGGGGGG6GGGG111000D0001101111111100001G110 - 1165 B 1166 1167 1168 1169 1170 1171 1172 1173 1174 1175 1116 1177 1178 1179 1180 1181 1102 1189 1184 1185 1106 1187 1148 1189 1190 1191 1192 1191 1194 1195 1196 1197 1198 1199 1200 1261 1202 1203 1204 0205 1206 1207 1200 1209 1210 1211 1212 1211 1214 1215 1216 mr 1218 1219 1220 1221 1222 1223 1224 1225 3 C , , a ., a a,",.., ,,,,, / 101,1,,t k ,1111.1,1,,111 I i ./ i I I i.r.,,ablo 1(,,, L l I ll,W, I I VA, t 11.1,1,t0,1,11111 ti,l, 111111111111C60001000110011101GGCGGGIIII1D019WCHI1GCGGIIGGIIIIGIIGIGGGCGGGGCGIIGIIIIII66616GGIIIGG6116GGITGWIUGGGGCC6GG 1111111111117;001000006000000/111MGC1t1111H141CGOGGGGGIIGCG61166GIIICIICCHGGIO1116CCIIIIIG6GGG61111CGGGG6611CGUIC6GCcGcCGG 111111111(10011104PODOUCID0001011GCCGCG1IIDGCHIMIGCCGC1IGGCGIM6610GGGIGGCTAGGHCGGI11111GGGC611G1111GG611GC6611GGCGCCGC66 II111111o°01019490D000011001)1166TAGGCG111MOHMACCGGIIGGCCI1GGGIIGGGC1GCCIGIGGGG11166111166116GGGIIGGGIIGGGItCGGGGCCGCGCG 661111111/09013000000011D1t1IIGGGGCG1110101MCCGGHGIIIGIIIGGCC,111GG1116CGIGGCGGGIIIGM1GGGIGGGGIDIGGGVGGGII6GGIGIGGGGCHG 011111CG119001100640/011001001116GGGCGIIGHU0GI11111CG1111GGGGIIGGGGII6GC1OGGC6G0GCGCCIGGGII116116G6119GCOGDG6GGIIGGGIIGGGGIMIGG IIGG11111140DOODOP/0111100100GOPIGGCGCGGGGIAHHHUGICUOHIIGGGGGICG6G016GGGIGCGUICW.C1IGC111GGGCDOCCGDIGGGGCC,C.GGTIGGCGGGGGCC /11111110GGIOV4409011111011DOIIGGGC6GCGGGGIINGIOIGGGGGIOGIIGIGGCGGIIGGGIEGGIIGIIGIGIIIGCGIIIIGGOODGGOIGGGCGGCCDIGGCGGC6GGIGG Dt1111G110111006171(0011HT10111GGGUGGIGGCC601090GGCCIIGCG1116G6G1IGGCGIIGCGCCGGCGGGGGGGII,1111GODALIGCCIUGGCOIGGGUOGGCGIICC, IllinCIIDIGGD1111111111111011GGGHGfiGIGGGGOIMGCG6106GGGIIGGGGII6GGOICHGG1166111GGGCTICCGGDOGGGOIGGGGIICCGCGGCGOOGGGGIGGCC 61111111/EIGIP0111111110010011GGGGGGCGCGGHIGGCC66GGGINGIIGGICCOGGCGGGGIICGC11111GGIGGCCIOOOGIIICCOODGCC6GDG6GGGHGCCGCGGH WGIC1001GcSOBOODOP00001011111GCCGCG1GCMCOGGCGGIGGlInG11116GGGIGGGGGIICGIGGTIHIGGHUGGOOAGA6lI11000CEOCCEEDE0011000GGC°110 GGGUODDOGGGOU00000100001111111CG6GGGIOiG6GHGGCG6G11CGGGIIIGGGIDGGG6DGCCCCIIGCCITCCIGIVAGTAIIGO609FFCEEIGOICE1CDOUGGGPGG GlIODIOGGI1000010U0011011CIWOUGGGGFOIGGGCGT,GC611GSCAIIIIGGIIGCCCIGMGCGGCCIGIGGGCACCAAGDEFOERETIICEIGOOEUICOE00E(GCHGO 10IITC111009010010t111I111HODOGGGCGC6GGCGGGGGGUAGGO11111CIIHGCGCCGGGGGGGGGG1CGGGIOCC61000)JJOOGODOoCIETOOFE100EEFFOOHHHG 11)111111014/10DODIIIII/IlltifICCG6GGGGGGGGGCGGGGCGCCITTGGITIGGGGIWGGGCGCGtOICCGCDOCCGDOOOODUDGGCUDGCCEECEEEEDECECEGHIGOG 111191111I1001i1111101111CIIIICHCCGMCGCGGCCGGIGGG6G1IGGGIIIIIGG11101111HOGGlIGGIOOGGGG00000009TCGOOGGCGUGOTEFIEFF/JETEGIHO 111001G11000011110m0910110DGCGGGIIGGCGGCGGGGIIGGGGIIIGGC11611111GGCCICGGGGIGIGG00106G11001000ODGECOGGGOOGECOUEECOOOCCE6U0110 111100001110100001C11GGC1IICGGOOOGGG6146CGGIOCCGIG11611GcG111CGGC116HCCOICGIG101011.10000°001000EFICCOOGGCOUltanGOGFEETICE IIIIIC11111100001101G6GIIIIGGC1001CHGGGGCGGIOOGGIGIIIGGGIIIIIGGIIGGGGIIGCGIUG1G00001000909000CEECCGGGGIPOCEICGCGGOTIEFEO IIGG111111011II11000111111FIGCGG0011MGCGGGCCDUGGC4111CGGC11111116CGOTICGG611111100I110PIPOODPOIITE6C611C40lifElECEFIE1EGFE G101111tO1111110111111111166GGGOOIGG6GGGCG0011GGIOOOGGGGGIIIIIGGGGIIGGCCOOGO111110°00100000DDFOETEGGGOOODOGGCE(IFIIIEGET 111ITIGG1HUIIINOIIIHOHDIFICGGG6GCCODOGHHOGUI111611116111G66Ct1001611116C1011101011141101110BUDODODEIttEEEE0o0CCUEEFFTEIITOV TIGG/1111110011011MOIIGGGGGGCGGGGOUOGGGGGUTGOIIGG6G1016GGC11111C1IGGCCIICCGOOGOIOTOGGOOD00001900DC01/1110e6CGOGGGIECOUIETG G111111G011010OftWOUGGGCGGGCGGOBOOGGCGGGTFOOOGGGGIICCGGG111111111GlIGGGGIIGGICOO11000U4100D00000CGIUMGGCOGIIEDEGHTDIEE 11111611111111DIDOODOCGGGGGCGODODOOGGDGUGG000OGGGGGIIG6GGGC111111611611G11660001I1GOOOODOCOOOIDODDGG600006GCGOFEEECITIF1 11111111111111IHTHUIIIIGGHGGC6ODO00006GGHOIGG0110CGGC(1666,1GGIIIIIIICIIFIIGGGGHoGGID000000°00000000flOGGGGOODECOOCECECCECI1 11111111111111100101ODOUGGGCODOOODOOTIECEIGGHOIHGGGTOOGHGGIG1110°91/110TIGGEUGEOCOOU00111000DODOODOODOCCTEGFOGGEETETTCCI 111G1H1t1H11110H1111006611000000000001DhCCCETTCEMCHWEIGGCGGCOOOOOFFOOPTTE00EFF1IFOOOFT040140000090PDOOOMCFEETTECCCEECC CG1111111111111111130GGIIIIIDOCOOD9000EDOMEffEEJ/JEJEIGD1/16GHHGIDOODOODIF,F90/0/111Dlegt601B0(100(10000000COOOCOOKDOOETCCIEIC 001111611011111110000001OOODOODOIG0000CTCCOTEJJJJOJECOOUGHW10001090001FO84OTBFFID00111100000000G0900000OFCFCCEFFEECCCEE IIIGCD111111111I00O00010004/0I0UDODOOD000RECOOOCARJJEOFOE0010(1001DOB0001/09/11F0DIDI00011000DUIDO000110P4OFCCCCEOETFOCCC GOIIII11111111111001111004POTHODOCCOOOP00690CER4POCCCTROTIEGVIOOOD000000GOooFf/f00111100111IIKDIDDOODCCONOODDOOCEEEDOOECC 011I1GO1110111000010100Do00/00c0OCGO000040O4040POCOEJOCCREEE000104000000000/604OFC100I111000CCUOIODUCCODOODDCECIETDDEEEC 11111111111111011O/DOCOOPOTIOCODOONCOI4049040110019CCJJOOCJJJCC11000040004100/0n00404/00Do01900BPODDWU00000CCCEFFOCEIICC IlitommitootwIconommcmcfccoucoonntwomeenticccoonciJJEcriongoonoFrovinvononororooGGnmaccuonoccumporciccoructocc 111111111DDINHVIDDIDODOODOPODOOHOCCOOOCCCCFCCCOOMTDCOOCCCCJJCJCF/D0000/94010440/104/160/10/10CCOCCCCUOCPCOP0000/MCMCCEE 111111100[91000060000000000010000000000000COMVUTTFCCCCCCCCFC00049040400094DODOOFFIDGCGCOOICCCDOCCCCDPOOODOODODOOICECICC 111111111O0OUOMI101111I111111101000000OCCECOOCOOTTCCOODGCCDOCC000440O0008000006100DGCCGTOFROIGGOCCCCCCDUOM10000011C9COIEE 1/HUOIL1110111111111101111101110111C100000001 1011011111061011011C110111110P011100000000COCODCODOCuCCFOUFF4400000400011604900000000GCFUGGGCFMETTOOCOCCCODOMOODECECCOFE1 CCO900004000140W!OUROODB0606401116fIDOODOODEFtEMET0061G000000ODP0001104C011ECTHE 1111I1101111[111110/0000010110CICGGC4HDODOIMUCOODOODO000000nro490340000/09I006060DootTEEoccEFEEEFon000ppoopooptotGolloulf 111111OHDOIOC1111000011004001100GOGGCCItOMOOPOODOODODODOOPOOOP40000000004/GGIMOODUCIOITCOOPECCOCECCIODIMOCFAMOIGGGCGG1111 IIHMODDITODIPH101001HOD0111111101GG0000000010TDO°00000000009PRO000901FIGGIDoOPO090400FEODIEFfCEfOUIIP0010POPITCGGHUGIIG1 1/10H00000010001100011101001111001H1C1069OoPO0040300400P00000006600490/11FECCGOOPO04000P9FEEFOC16CEJTJA0100GCCO111CCUIVIGNGI 101110120DOOMI;11)0D1HDOOODHINGI111011049400O401018000O1POODOOVROPPROFOOTIAGGCOOPPOOMODOETUDEEECCEFUCEECC61000OOGGGGGHHEEF 1111110004D0011HOMIIIHOODHIGC11111100100000114000POOP0000096108POVOBOOODOORFFTUTOOOPOODWOOCEDOIEEDOCEJJOCOEFIFORo001GGGFFOOne 141111001101;ITOROPPOWOOGG01101P0O0014,00114ABOOOPOBOOPOU4134009090oTTTODOIFT00000001000000/11TOOTIFECCCCCCEECOOORITTW99000 D011111111601IIPHIP101011GIG1GOOIOI110100C/0444000060000060091)0410FFFTF1E0000O0C0000040FGOOFUTOOTTCCCCCRED0000/0400440/0 19111000009;HOOI0P111101106101111111110D1)OVOPO040600461101,4060600664FT/0I6600EFFYOO90ODDOODE011EEVEDOFTTCCCCOCFC004400004/90C 11n00141101C5111111111111DOoll6G1100DOCDPOOOPOOOPOOOPMWOOM604/100FIOOFIGF0000000600D00/110000OCECOVCOCUROPODOOODOMME D11100916611101001111101100101110000000OOPOOV0000800VOP4000089PPOilif041FTF900bOUCUPORUTOIFTDOOODUCIWBOROPODOBOolflOODAAP 11111mloommoopoomintlimmamootIlonreenowippeeepnenenneonpunulonpnnunnemmommorFoonomsenlipooP004464O460060401906 100111100CMHnovu0P010010010101100111,101CDOOPOPOOOOP090000FOOPOPRORPOOODOODOFIOC000H490004000000061114104OROODA4040rOOOR0666 1100111CWOOIDo0111111111116109111003011040P444060130040400040001,0911969110001099DDOD000004000004800699000POOODOP000090490000 11100D1HCCOODODOIDODUDODOHD00001000001000000110OPP0090OBOBOWBOOPROOP0000099DOODOODO00000049400600049460POO9O6499P990400 Ittumummemittooponimmommonoonommummepooe,!rnononnoltion000loopononnepoommoroonnonoonoommennonnonnopooqwmnipi 10000100114011011001000000100001111POOOPOOMMOrpOopeormopopp9p0400900flop000poopouGloopooftoop000popp9n94600100490o4n0oppeop omoGGHoinornItummoopav000mmottorowienenemvietwegprmlueneeReommemigunnebnillimmoonneop000mmommonouneonowinntle 0001011HOODIIDO0110000000°11000011100C00004PutIOCPOP910490PPOPUBBROOR490904000014100000011119BP0400009n499009DOOOROROOM44604401 0090011000 ODD 011110 0110000K06000r /11100001100000 0(1000 000000001 I 001 E 1E II GCOGC 'ICC I 09000F000 F H/10000011F in00000000010000011000166661 MCCGNCCHHIIH11H11HHKC0 GCGC 110111101 1 Dui 100161110000 cc.01I 0lIl 1111CGC11111G01114111:10 GGECccrmilt 304181100001)0F1401100DGCF008 1111111 A 1)11GG I I III 011411111(110180141111011 I LIGI 1EECKKKTIKKE1001101111F97AGIIII(10000000110000.400000011011000000F I CG1010 II II I IGGGG001111086000F 110 0011n DC nuotm AEG IGGGG 111111111 1111111107.111; FF1111111011161 ICGOGGG 11111 n0fIF0FME000000FCGGFFF0011 FF000001100F I IIIGGGG00000000100000000GG0G I1441414011111GCC11101111G141 1 t 01 GG1111H141 C 0000FF 00000000 000 071011111 F F CMG IC I13111I 01100001)0F I 00000000011000000GGG 100 IGGC1411GG T I4011 HOT I GIII6I(11101144011111111111 F41:: 1011110011/1000000011001100000100411)0000901) IEFG (HI [ 1 (000001101010141)03.0001101 ICG1011011111111GGGGG I 101 1 11111 1 1 GlIGGGGfHM[11C111 II II 110000000011FFG11711100130/ 1111 Pt110110101000000(ioDOP0101000000101140 KOI0001710C.GGI KK OK TO1 K1 011 MI! I I 01111 I G ICC TII11II1 Fr IF 00000000110001011111111DU0000G11000101101400110041011118 00001111G1:110010111001/000000p4fmcoccKoonoonuolGOImoonol001 1000010000C110000000000t1000008000()D000000FIFFFIF I 000008inno0(100i nuF lilt 011011E E T II1IIIIG3410111110800811110I11114810111111110100 11111 1080111100C 1111111I101000101001100PRO00000011GOOROG1100110013100011001011000000000000000 II 1 IIIIIIIICC111111111111101(0011I IT II 09000000T1101300001111)11411111GOMP9DID0090119001)000FGGGG 011110110CI1110000001110000e(1111416666 10006/1/1060 IG (KG 1111 01[ 11136116AAA!GI110101.1001111GGI111110e0000009001110110(1010DO010110i90000001111001301GIEG GG1 000101111141100181C800711111 GGG nomstilffil IGGGIII IOD1 T GGFC0fC11111,400011nA1IIGG1000000000000000600010010001100100uno00001100nfloF 110D000Dl IIII1GGG Ulf 0099r9(1npa EECFC IG10091)E00001)D00010000(100001100011011000000C0011110I It4141GGGIIGOC100010001001GC I IGI1E1011(13111I 00100 I100011000111)000000T1n(101)11100VP0000001)00101911111F 4 rcc090000911119011/1 1G IGGGGIICG111010101111010000GG 01100 G0001116E1,001) 09111100111100111111111111I1r 10001101V! OI I U(TV0410000111( I All A A A 419311)00909 JC 001010GG 0000000111000011GGGGLUICIIG1MH1111110G KG(' 00000111)00FF 0000100001001000CCE I n00000000 IIIIGGCC GGGIt1101)00111 IGGFC00000001301A0ArtAAA 000101(10011GGGGGGI 00000 AAA AA A c1111110011141111811 f1 1000009000000000G0GGCGGG00110000000111C000000000111,0000KK909CCCOOCCCM;0000110001FF lilt e 84 AAAA AA A 88G011111100011118 ococcnollprrAF 0cEcce nnun001000000000ccccc 1 I11100000cce 10041000001001100011GGGGGGG 3 80011041a940100CCCGC111111GCGC110C011111111011111GGG 01601111, 11000000110000110110GGGGGG1111110111101 OIAAA,1,1/1/111I1 11,00 .1.11".1 I It B 7 131 131 1316 1315 1314 3 1 1312 1311 013 1309 1308 7 130 1306 1305 1304 1303 1302 1301 1300 1.299 1298 129) ,.1.tutulio),.....1 ue,i ivo,rnibill,,GGiouirta l lAutt.f,t 6, 6lF t. etitt916(101.0(1t101,19-. 3.9.t t. 319_1$91%.,b10ictAA18..11)9,19)19,i)K19:10:01m90,41)0cuctleimutioutsu 1364 B GIGIE EE0OGG; 01 I 0GGGGGOIGG6610G IG Cut I 1364 3 GEEEEE091G37;11111GGG I 1G GGI I IGG III10011110EGGGGEE II I IEF 10111111GG PrO0D0e0e0010000BCEGGGG 000000000000011G0G6GEEEntIEEGIIGCGGI1G900000071100001401300000GOOGCGFIG000c0e I I IGGEFIE CMG GGCG1111100011013010(101in0F11(0000c.G000C."31G0 1365 1111100110)1G1)1 0GGG0GlifIG0E11111G aril' 011000 (111001,C000G01100100110 e1106000GGGGGGE01110G I GGGD0I 1366 EJJEFE0000GGGGoof 600G7.110 I IOPIG I II 01 I IG MD01110E01 00110000000000011011000H00Goom 000E t367 1368 1364 1370 1371 1372 1373 1374 1375 1376 1371 1378 1379 1380 1181 1382 1383 1384 1385 1386 1387 1358 1389 1390 1391 1392 1 393 1394 1395 1396 1397 1398 1399 1400 1401 1402 1403 1404 1405 1486 1407 1408 1405 1410 1411 1412 1413 1414 1415 1406 1417 1419 loll 1420 1421 1422 1423 1424 14 25 1426 142 1 1611)0106011nr110111GG(GG GGG 7-Gt 1-11G I EsiELit 0001041114c1IGGGG i f,C,GC1 IC 1 11'11 1 riGGG111111100110C181Gi 013110110G ilinf GGGG 11H0 1111 IG IfIGGI0I00010011Kn11000I1190001001)000(4=9)10EE 1E711111001100c14111106 Glir it MEI I0KE E/10migk EFEAJJ711GliGGIffiG 1111161 GG Gill 111GG I IJI 1 CEGI1E711I1 0000G00/111107000000 1mr/16666ciffl I Mut 111Gffi IEIGGG(10000 I 9I I FE GGGFE771,010(011(0)00kcii 0703JJECEIEGGGGG0GGGGGGOOGGGGOOGGGGGCIEEE14000000011003CEE00entIGG1irGGE.G011111G I 0IGGC0G1006G0GliGG0IF IF f tGGI0104000I 1 101 IGGGG 0011EIEEEFJEFJGIGGGGGG IGGIIG !ICE EEGG6EGEEE10000000000001 E 000()Gccci11601111GGIDIGGIIIG011117,1 InicG6G110 Fr 1014F 1. I It I I 110100011G0CGGC 0E1 11,),WEIE JJ7111 GCGGGOGGi I GEE GGct EcEf ECG ir0000007100e00G1G000000GIIGI 0c0G10010C6001000GGIGliimt Fr Fir-G If III %Dolt iitItioGGI I 0066E 1E1 EET Et FIII IGGG0GGGGGEGGGE FE E GEES MMI RE0C010)F Counc0000000C101600VlitlooT000111GGIII111111111GGGGGGGGGGGGcliGGE Fili 160 tintthoDEE0M1110100 3E11011-EECEqfiGE(ErHEUGEEtrEEEFCCG01001101110110000000000000119000I001114011111110111G IGGGGHGGGIRF III IIGGG 16 11110: IMMI IF II ElEfieGGGGE-IcHGGIE1301E6G0f tEtrf GGG0E.E.FGEEtt 80001)1T11017001:13001,01000001011116611G111m1IGGGG6G6GG10160G6GcnriGI I GI IrGG110G006 I FGE-ri E DEEOGG110EFE IGIIIII t I IGGGGGGEEE 10c111111GGGEG 00011001 I 00110f MEI W670E60110( I 11111 I 6011G EGG I III 0GGriGG EE E wit 1101101)10100110G000r n000000000000001GGI1111114GGGGGGGGGGGHIGGGG1017111GIG0GGIGGGG1100Gre II 1000000,001G11101G0G110110:GGGI I icGI 110610 IHIGG111 I GG1100110f DEERE EE(100E It FGH0010: TEE I IGT GOGG00066011G IGG f D011011I IiiilliOoDEGOn0000nu9lOOGGG110111GG 1006[4f fIGGGGGGG0110G00FIIIIGGIGGGGGoil IPFi GIIDEOFE9PosEr 001160101110E I IGGIGGGIOVGGGIGGIII GG0101111 111010 1 1 0E0000601 D00011Got 0011GGG00006GEEGc1IGGGGGGGEE clir f1 tGC1111GG1040CF it 111101111 E DECr1(0001G1100G110E IEIIIIGG1001 I GGGG0111G 1 I I H 110111011100110000000F 10000000111101G1 00000GGE1101G1 ,6GGGGE1EHEFF GG 01011 Ft GlIGGG00 0EGKopf EEEE000110GIIHI0GG IE IGGGGGG tOOGGGGGGG IG IOGG1111 1111 I I 00001100000110I100110GIG00000000EEGGGGGGI)GcG6GGHEI 00CCG VIM EE 00000GG0GGGGCA /GGG11/11. IF GGGG 11G6G6GOODGG6IGGtiGHGD11011111111160006091909000671000D00100060111 IGGGCcGIMIGGGIIGGEHI IGGGGCGGGI GG nnieGGGHOBEEE 1000GGGGGGGGIIIGGGOIGOIGGGGGGGG001-114111111111GG00001111110000000000000il KKI CGGGI OWE 00E E 01104; FE GCG1iG 11GOGG0GOIGGGGGGIGHt 0000000GGG0G0G111 tIGIIGGGGF.7 I IGGGGGGGGG D 011410010100G000103000111001000011111011100GGDOGGGGGG001 1 GC,GGGGDFG1 IGGIOSHOGGE 1111EEEGEOWKD00EEROODuECE000GGGGGDOGGGGIIIGGGG1101GGG 1111 DON 1(116 It GC 6766 GC1149EE E8RMICE EGGG6G1 IGGI161161111 DOODOOO1000000011000101100GGGOGGGGGGG000111CGGGGGIMIGGF rot IGE DC 119GGGI1I I II 10001100 It 1 II101100111/ 09111011 01-111CCC EEE EC.000O000001100GIIGEC IHIGGf. l IDIOGGGGGGIGGC11001-ICEPOFIGGGGIttIGGGGGOOLICE 1011411M154C67777 76C(;1171)001)1101CGGGGOI/DOOOGGGODEOG IGGG600fIlEIGG1100000010001111110GGIP0100000000061166GGGI1C11101410601GGGG141111GGGGOODDOE 1E0E116000001 MEM f I IGG 1 IIGGG00G0(1000000G00GGGGGGGI10110110GEEGGGGGGGG601)007EE Hce0011101-.CcEGGEEG111100011000GGI11111111000001.1:001111100000001110f I I 1 II I 11660G GCDG 10101 1 GG IGGG6G6G110011110071;IEFGGG6G0000PDC CHHHHCECC7E1111111111111H1111111000061111001100D00001)100611166711100061661-11111116666GGG6GG 01111106601GGGES II IIIID0019EFEEI066GC1;011PCC HOME EECEC10HOE0011IHti Mil 09C111000000010091)06G194006 EEE011111 1GG0GG101 II ILIGG5151)40001119611)1116GGGG01101)001I EEtICCKKCCC9 MOD 116111119006C011111111100011911H100110661611811H6GGGGG 00EECE76666000060 1G1 1116610016611111111116GGGGG00011 onnriBAEEEC NEP onDoon TI00010GG0GGEHU0HGGGf ,G000G10IHGOOOGGGGUOoj 100000011 EEGEGI00000DOGGGGEEGHHFf 1900E 110.11E111001000011HHGGGGI I I ODDOODOODDIIID00111011DDOFGGGEEDDDIIIIMM4141 I I 14006GGGDOG 0000000000ElfEEEDIDOODO IGOGIEMICIIEF10110G 011(.1IEEE0EI900001GH11IIIOGOE0000000I01990001111110110001G6G191060761170011111101111;1940000000111000FErf IEVGIG00011G1111116OGOGG1013DODDOO 7,160110000C116GGEFf 11 1 IF 1 IL 1000111111110010110001GOGG IGGE IEE GOG IIG GGGGGI I GOGD 10000110EFEEE 000006GGGGGOEFHEFFOr I I[ 10001 10111I1OVOGGIIGGIOIMIGGIHODDDI 000130001M DOI G1110IGGGGGGGGGOGGGOFEG1001 000606600W; (0161001i IF I DIG IG1m11101GICH 11111011,110000704111111)(11 0000000GOGGEFEFOOGGGGGMIGGGOOGorntifIG (III IG0GGCCGOOGG111)Gc,GEE GOOGGGGGGCGGGGGG01)100EEGGGGGIMEGGCGGG011101GGGGG 1911701 ino0GG00GGGGE 01 IGG COG! 0007:1 Et I 01110001 II 111000100001 6000GGGGIGGGOGGEEEEGGGGGGGGGGGGGGCGODOGoGGGGGGGCGGGGGG11111111GGIIGo1 0016 10IO110G0066 DO II III 111110C11000000G000000100D0 I 00000G00D00I GG I I EEHOEEEEE D000001100 EDGGGOI111 COIDOGGGGOOGGDOODGGGGGGE I IGOGG IGGGGGGG6GG00/0110GGGGGGGGGGGGlif0140111114GGGIDoG LH I 1000061 I IGGG I I IGGGOOGGGGGGGGGI 0001110001IC 100G 11111EDELE E E nODDODODOODDIG IGOGGGGGGGDOOOOG0GGGGGGGGGGOVI11o1141GOIMGMloG 111111100000DoGGGGO I It 1 001 GGGGGGGGG 111111E GGGG0G00090C0 GEEEODI 11(0000000E I C000000000001111 I11I 11I DOE Mtn 1101 Is013G1IGGI EUEIIEEE 10001 I IGGGGGGGG1111110010iG1111000111)Gli 90010000000111111110000011111611010 III 060rIGDEF: I I 011110161I111001 °HOGE 00GGIEDEGI 000000001 1EEEEEGGG00110000010G600060I000011-01010011010140 IGGIIOGGGGOOGGEE 116 GE 11181001000000606GG6G11119011111H101110i1111111 GI 118;6Hr/0001 DOOOGGGGE1EEEGG Ht00000000 I111011100001110000111100111 (10Gc cii0000100001 flit III1301311 I 00G1)0G0011111EECEIE09001 I onCoimIGGGGGG13104GGG0110060010 GGGGI 000100000IGGGIO0If FEE 110 I 00000GGGOOGGGI I 00E000000111 1111 100101601)90I0OGG 1E1 I Elf 000()GGGIGI)Dr)0I GGGE,G110G101GGGGGGGGmar IGGGGG0Gc0011300001 111111 11000I 100011 00140GGGIEEGE17101111 101GG01011111)0GGG000GG I lift OE [EEE 00000 GGGG GGGCHGG 101010100111 I !DO I I 10001100000GGGGGGIEI IGEGGOI I F.000000IGG0Gc,C0111011111Elmc.ri0014 6601/ IT 0000060006,00IG0t EEECEIE-0000G GG111100001E 110GGGG I II GGHIGGGEF100IGGGGGGGGGG00101000( IEF0091111GGG011111100111011111E 110 001111111101)011111I I oGGGGGGGG IEEGGEG1100E0I1000GGGGG110011)0011111FrimmiGG GGGG000100; IGG IGG,4GGI OGGGGGIG0G01 IHIDOGGGGE,GG I 0000001 II I I00100011000 I 11100GGGC,GGGGGEfGEHIOGEF 10001 IGGGG011111118161101100104GGG G110000000 int GGG11GOGG0003GGGEIGi GGGG 1001&16 &&111114 000000I1110001,00000GGIOODGGGE,c6GG0GGIEE,,E IG11600I I I I 611GCAGGICIII FIGGGGGGGGGG 009101001118111G666666600011006 int 16011100 OEFEE67,W;,01100450101111000000060600001 0100606 06060006167,066 101,6000I1011lioG6066HO666 1)1101)00100010IGH6G0010)00101.EGICEJF riGr000tE Elf EG00000t00T100110000GGE001I00GGGGGGGGGGGGGGGE1010101PGGGGCCGGG0GMIGGGEGGIIGG 1110000I10111110110(1(1010900GGG00E7rEE00000GEEEEG E0001111001)111000011.130GGID0OGGGGG0GGGGG0IIGGGE000014,00c,G6Gt IEthiGGGGGEEE0GG 14011111101I101101111111009EGGGGOGGGGOEE0TOGGGGcEEE00000011100000000GGEG00GGGGGGGGGGGGGGGEGGCCOE j IC 11-09RGGIIGE 1GGE GGIIGMI0E1011 000010111i it 1 11100100011111 T ODGGGGGGI EE0G0000600FG0G0G0111000PII1190CEEG iltiG I IGEGGGEGGGGGGGGGIIIG6GGc,GGCEnnGGGI1 MIMI NI 1 11 I1111)00091111111)OGGGEG 166E1 1 IEEE-GEEEGGIODG IGGGGGGGGGGG00001 ODD I 000C0FGGG0060.0166GGIIEG6G6GG1311GG 1100 inG6GG7076GG0GGIG007 GIIGGGE mouTD11101111001011116001111C0011( IEEEEGGGGGE,GGGGGIEGG0900(10071000000EG IG90GGIIGGGIGIHIGEuEE IF 070000010GG FO FF Gcl3G IOIDE EEE EC C 06G 10G 1111011111.01 el) 1101100000GF.E110E7rOIEET GcCGGL1Gc16160000000000GE 11000GGliGGGE,EF !Gilt GGGC61 I I 119111( 11000100000001000GE GGEE 000000100160611AGG If 01000F EE00E MILEEDDIEEGHIIGG t11000InCoGG IEEGOOCE HEE IF IGGGG 11 ( 00001111111111010000700001G000EEEEFEEFEEE 0111GG0F11110111011011000111101IGGGG1fit 0000ECOGE EEEGG11000c101000010911.110EEHEEIE lic 013061104-0001914003 t0011GI0091300EGFG if:6661911H 11111111001111000011 (909000GEETEE Et EC EP£(EE0110091000(/t1000000ECCEE 707IIE 111111010010011130100j00000110001100000GG000E GGGGGOOIIDII1U0II0 0900000 00001 0000000GEE IEEFJJJEEEEFC00000000010t0GooIEEEECUF0E0DI GE1 1011111FOfini0000000000000000000UDCCC00C GGHG011000000010011699010000GDOE0)71001)GGGGIEI EIEJE f ME 00E1 ()6661. 111001101 MI I 114G600000001G 01011400(10GG1300GE IF9G000000GITGC,0(010001)0111)10010611F11110199100011601000nt 000000CCGCCC EJEsiCG CIE CWIECCCO100000E-01GG119e0P7 /r)r D0111010Friff' 0010000009000001300 (GG 0000E 11061001 On09000000,1010900000 I100000001000001EEt: I 3666E0 60000E tCCE 000E c1301,00t io1.01)(10900011110110110011111 111101000000001000000013G 1)0111GGIODOOD000001111)1[000(30M1000000001)010000CCGICIF 001011 G I 11110000000000101(3000 C0000101000119191)(lonny EE700E-EEEC1300[EEF70IFOr7010700008111011141-01111U111)0000000131)1100000411100013110 [FEE Er FE E0urEEJJ0rEFGrCE liF1115. 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Otto t t 1,1 tt10.01.1)110111111111111111W111101111'1 0001009100191000D1u000001100190009910000000000001MJC000009C00FuCCEECFEH10100110000900000VVDOVVGVVVVIDOC 000011010000010000001001000C000000090000000900000CECEE009CflOOVCCCODEFIDEEEFOIFTFIVOODOODOVVVVVVG66GGG 110vVvVVIIIKEN7vvv00000110(000Dovvi0000000008000000EIGDOpOenpvEECCFFCCMC91HRPFuOUODODIOVHHuHVGGGGGCGGG DOV01100V141;11CCVICUVODDIIIVE0000100010000V001100098G110CCCCO,MOCOOCF09ME00H0FE10000ROVVV9VVIIG666G66r, VVHIOOVOHIIIVEGYBOVIH109IODO$11000090VEn0000000909POODOCCOOFEm911D9MMODIFV01EMFMIVOMOHOv9HvIHVIIV666GW;C IVIII10001196661101111111011010000090000000001090669000001100CUmV000C0011EV01 En01109000011000116GHIGGCHGG6 110010111110066GI1000101111111I11090000000P009606000017900CCCOOFCCCEEVEEOVVVEHHPMMMO111010010V110GGGGVv IIIIItilonontmtlioltimmitttocoonommoboorooAnowinuicommovnforuoEronFimperstrffliwoonnoutonimcnlin ImmutloominlIGIIIIItolitimompopnononnopoegloominFocccrifoomoonommocpotrwinftumnoommotommou opmiloolompoloomottiolimmotmonommoloommemmenortruccconEccoononommoEmOmotoommumpoonommoonon 10010000111000001611091 vvVVIVOH0000006000001V190901416COOFCCVNOEFHOOHNOM001I060001FmHEFIIIIII4m000000000°900 ommootoomomoutimmitionttommovionoomioormcnooKccowimmeouommormommovonrommommumonnonontiml D000000000140000011100001H900000PD00100090000000C006ECOCHVOE9POMOOPHDOOOOPOvvOMUF011COV0110000°000G010 DOIIVII10090VOOVHDOVOVOVOODCDA000010000000CD0000000FGEED0000CD0000000111F000900V001I111DVGOGVHOCICHGG1P1 OIIIIODIIIHUVOODOOPPV900000100000DDEOODORDOW1900000FEDOCOODEMPHOODOOKOVONMMCOKONVOIIIIIVVVOGVVICG6GOIH 10000PUDIVOCVOOODV100900010000000000POOP000v000900000C0000NvOlivm000000MOKMFOOKK400001000v1VOHVVGMHVIIHO HimmornoHtflonnuotInuolommeorom000mmoconooponnocuominmommopoonolofimmiumommionclumummomGGummo UI10000901)1100000DE0000000000009000ODUOVOOP0090000000C0OVv00M90001100009VHK0000001V0010V10110000OVOGVGIH woopoonopouliOnconommoommommoopoommoommeonocCeoplimcwinownouoommomonon~ponormomononoimolo opownommunlimmeopolimolcomoRiumpootwooponcownouponcooPrommommommommummilmmouonioitotictiFF ofirommilimmummtnnonivoncomiconommuommoncommpoommiroomonommoommummoimumocmin0000polononccol 010411VIIOOD0O11HODV4109000V00010000091090HCHO0DHCCPOVODE0010000000000000001111011 0111I1I181GHOVID190000900C0RH .01. WWI I t it LI I IOU iMin 21,1 I1 umoutio £11E 11101100ELEt 1E151 I 1E1. 011011110111110011101)000161 0110000011000000 00000110006111611111111 I 1110E10)0001 01E1E1 0000006EIE JJJE 1111E61E1 011001101111.11 EEE (GEE OEF 0911111 ilt 011100111)1FGGG00001000000no G 1447 01100000000111 68861 1IIIIIIIHHG6011111561500111.01101110 3.13014311 01511E 0711066611_ LE5E00E EE 111)111,1111161101166111611.100101101101160E 1498 h 00000001)0004 Ell 4115111 I 111111f GEECEEEEEE0091011000000111.1101111161000161,6 I 1E1E1E1 0110(11101111 E1111111114111,616 000109011111001)01 1499 0009000000000FE111111 GFIFF.11 FE1161111115166000110000090161,100001_11 flOHHOI I IGGE EE 11110 0E1111011f IOU EE I 1116GGCLOI II l 1IH1000001116 1500 00000000000000GEGEGEIGEGE1 JEE IGEEE 1E11 1'00000900000911 I OGEE F.JJEEGMILE 1111 111110011110011110911FEEOJEFF 111110010110011091,6166 1501 OnKKO011000110000GE ELF F661611E3E1 11E1 GGG610900100000000000001111E EFT 1101 I 1111111 1110010111GOOGGIII DICOI EJE I0001900000011066GGG 1502 111011100011000000011011( EGGGEF 6 1E111 I01111111)01)0 1111900000011001100f T1EEEEEGOIIIFF1110 TGr ODLE11E1)10161,1 GGG LE nn , , 1503 I I I1000000110011DODOEEI GGLEUG 1111E1 G 11000 011116000001)110000061611111100 I GGF EEELIE 00 OIEEOEFEEIEGGGOGGGGICEG100100091G666666 1504 11000 I10011000011000GEEGGGGEGG111.1 II I 00 11000110666000060000060E U1E11E1E01161E1E1 D1 014001 I IEEE Ilt I G61666661 100110001111AGGGGG 1505 1111111100011f 1011011111165,11EFGE 1611 IEDE IG I I DORGG 0909001000011901116 EEEDEEE E FEL11116011110 OIGGGG 1161E11 IGGGGGGGH 16661161016666666 111E G 11090E00 0001111161 Er E 1611)16 If f 111006 10100011000000 000000911111111E EE 1E11 661,6690661,66000GG 1161 GGGGG 166661016611666611116G 1507 GGOIG 01111111100000100,66GGE LG 1140011E ECU 6600000000000001100000001 EF Et FE I 1E131E01E 001111116666661 I 11111,616GGGGOGGGGGGGG6GGGGG 1500 I 061G GG 1 GEE 00000111( GGGEEEG 1001)000.1.111E1 ODOOP00011110000900110001,11 FEE FEGEEJJF DEDOEEEEGGGIGHIIIIIIGGI I I I GGGGGGGIIGGGG GGGGGE GG 1509 E MCI III 665 0000110 IGGGGEE 10000000E0E13E1 G 00001 1009000101000001 IGEEE EE 1E0E1 E.IF E1106611 III IGGG11131,61)111110610;66666616666666666 1510 133331E110010110 1006666111) 0010000011110JEEFF 0000011001 000 01000010111GLEFECEOLEELEFOOlIGGIIIGGG61111 I IGG HGG66666666666116666660 1511 El1E111 rE 903E1 GI 01111611001EE 900011111900011EJJ31011001 MUM OE 0009111000JEF tE DEEEOCE 1E11 0619:G0111 IH101900110GGGGC GC1111166GC G6166 1512 I 06 IGOOE GHEEL 11)01E1 00.1111 00110001000GGG10LEF.J001901 9000000(1 1110100011 E JEGGGEECEEE JEL113066661 III 01111)61166GGGEGGGGGGGG6630161 1513 100016000000JEJE 00E3E1 EOEFG 00001100 OGOOOGGG000C011110111000G6661000000GEFE166 000 (1G1f 11111111111101111111666666666666GGGG0GGGG6 1514 I6111 1300119001E1 FEEE00111111VD0000111101161)101101101001560001)010011111100001011GLEE 000101666E1 0E 00111660E1016661 IDIGGGIIE EGG6G61616 1515 66111111110311061111)(11111 u91001)00166111 I 001100101916100000000000101606661HOF 01)1E11 CE009()GGIIll114101166610oDI 0000060011666668 1516 1 111191111 0 0 0 0 0 0 0 1 1 1 1 1 6 100006G11160110001000010000000000000000061061ECE01)16CCC0GOE011610991111111111011111)000000010100001,16GG 1517 1600011101 11101 0000166 06660161,010)46GGH6G0001111000009109000014000110000DEGGEO9010000CCOED011000K00F 0100000019110110000009000DI III 1518 HEIIHIIIIII 0000001 666666666066 GGGGGGGG00000010900000000000 1)000000000CECECT Gt111006910000006011 0011101111100001100000001)0000001(11 1519 WIC 1011001100900000001 G6G6GGGG6GGGGGGGGGG001 001 b00100000000001)0900000001616 0111101010000000010F00010130111001111111100001100090000 1520 11E11 011000111 000001166661,G I GG 66611 000060001000 CV0000010000000000000000GOLE 00000 011000110000001 I 9111016090111K/0119/01901/ 000000 1521 I F_HG1 II 90111114T 10000016G6166 011E1E61 110000 001100001/000110011000000000000 OU000011011001111011111109001H 01111141111011061001011191010110 1000000 1522 H 116111 01111111190 1811100006G66 013000E E OE I I I 01390011010100000 0000001900900900000 1 1 1011011000H111410001100661110111111111110104H111110011 110001000001 1523 1161,61101001 011014101004 006000000 (1)() 010 000000091E0901100 011001)0000110000011000 I16000011000110011111011111K10001111111111110111111110111K tiHI I 1 T 11000 1524 1) 166 00090000000011000110011)F 0E1E1E11 0001300 009 00000001100000006000000000010166 0E1 0(1110 03110111011116HCHIIIIKK11111110010111100011100 1 1 1 0 1 1 0 1525 001 OE 00100)11000000000011010110913E 0000000000000000 0005000000000000000 DOI IG 00E1011100000111991116111101(11111111101111101 WM10000111001) 1526 00991 GI901000009000001111 00EEEEEEE1E1301190001)000000000000013000001)001)0010/1100910 1495 B 1496 3 152 7 1520 1529 1530 15 31 0532 1533 1534 1535 1536 1537 1534 1559 1540 1541 1542 1543 1544 1545 1546 15%7 1540 1549 1550 1551 1552 1553 1554 (555 1556 1557 1558 1559 C. 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1121 £711 2/21 1/21 0121 6921 9921 7921 9921 5921 4921 1921 2921 1921 0921 652[ 9521 /SZT 9521 5621 4521 1621 2621 TSZT OSZT 6421 0421 1021 9471 5421 . 4421 [421 242[ 1421 0421 6121 0121 lilt 9121 6121 9121 7121 1121 .r'r 129r 129! 1299 1300 1301 1302 1303 1304 8 ,....,.,...,,,,,,,..,",,CsOltri...,,,,04,t,to,PrIIIIHWIttftll ill:1.14.M 0011111111.111t I 1U 1 1 1111 I 111111111.t.t 1.1.11t.1101 it5 GGGGiutGGuti9019COKDOVOCDCGCCOFOOD000000CCCCC9DUOU00110GGGCGGGIIGCOHHHGOIHUDDU e GGGHHHHH$4010DUKttU11100100CDHCP0600000UOGOD9P60000000119GHGGGGGGCHIGtH1001000011 0100990000011000011110111111)011111100FIIEEtcODUGC nuononconnnno11111n111111n1111TomOinficottInn GGGfiGGHIOICHUMIKODIOODOUOCEOODODODUD00000009UDOHCCDO0IGGGGGC1IGHIUMHDDING.GC6n00699°0911061/1[77/111119upoonttnnff cr GIGGHGGGGG;411PCIOOPF000000POIDD0000000090DHC9D009COCOIGGGGGCCGGIIHUGOEUIDH GIIIFIGHlifitm4390 900000090119C101011GCOOUOGGCGGIIIIDIIFFIIIEFEF G6110001190DUO11011111111F1111100D000000EFC1001 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000(FEEEE111411 110006COHMM114101001011061 101.900001MMIDD11101G(EFACE01331 E1EJ9J1111101101-19010606611JJJJKIEEEK00011000(0(00900000000110000000KKKKHUKKKKKKK0000010001(166111111 11088KKKKMMCEEFCCCEE133111616000000000000100010000001010MEEE4mKKKHKK0000In000 00(EFJFECrIFEE 008000091109009IHIGG061(10110/(GGI0IIGGKO0ECCCEFF(E(1111FELEE90000DE0100000000(001111KKKKKEFEKEKKKO000(100001 1.. 00EEEEEEE(336 11000000010119011101KIG66111001101111111/1/II1IGEECEEEEE111116(fIEF(00010011100000000000888KKOKEEKK8KOKOOK1000FE 010;110ECEEJEfj 0000000001101940111(0FEIEIIIIEECE11E1111111EFELEE1011111G(fEEEEFEK0(01000110000000KOKKKKKKEKK100(000000110000( OGGGGGIEEJEEE 111004011C(03080000000110101110GG11(j0(011(EMEEME11111108CCEEFEE0E(010100000KOOKKKKKKEMCETEKKKO00000000100 OGGGGGE(33(1 0101011410081110494(0KOF00190100AFGEE111110111110C(EE111111401101(1(616100010001810(80100(KKKK01 E(000KKK00000090000 00MAG0111(fEf 1010911001199404C0010(0011F1O6G6EG611111011111111111616(1011101(KKKCCGtEKKO0000000KKOKOOKKKKOOKKEKKO0001(00000000E000 00(860111001E0 1011001001010(9KKOKKKOOODKOOKEGGGGREHtE0EMK400(GICE(1110KKIMMKKCCC104111(81101(000081(00010(890KKOOD0000800000011100 00000011CCIJ 1000(1.010011041(0010(011110100111166110110101041831001011INKKKKKMMCCKFJE00111(00000080000080(000000000000000000000 1099000000EE 000000009044800/00(1100100011GGG6CBE010000100(3611111111000(80988(C8110E14(110000001)000KOKKOKKOKKO0000900000009 00008000000 - - . 1423 u 1430 1431 1432 1433 1434 1435 1456 1437 1434 1439 1440 1441 1442 1443 1444 1445 1446 1447 1444 1449 1450 1451, 1452 1453 1454 1455 14ss 1457 1450 1459 1460 1466 1462 1461 1464 1465 1466 1461 1468 1465 1410 1471 1472 6471 6474 1475 1476 1477 1478 1473 1480 1441 1482 1443 1464 1485 1486 1487 1488 1489 1490 1491 1492 1491 5 ......,,,".".......v,..u.iir.......rittctKKKrvicKcC1lAccikil,r5uCtliccicicFCGCCCIAXI-CNKKKKKocuo.oullo c fic,f,CMIEEEEKKKKKKKIKEGGEFE111D1UPIIK10111111444CHE116HEFEE0111ftEKILEEcEEIFUECEEFfIfFEEIEFFECIEGFETTECCCCCCCKKKKKOOD0000KKIC 9 166KCCCCchci41HUIIVH1111/171(1111ENKKOK0 KKritiKEGFEFEUKUMIKHEGI1IFF/FlItICODKOIO111111MICGOIEEMECE/MTOEUFEEEELEEFEEEfFECFCCEUECIFECEFEE(FIFFCCUKKODD000110KKKK' 11001G1111GGGC11EF14111FHEKCKHEEECEICffitutEfffMErCCEFEWEEEEflCFFCfCCCKOKKO0KFCCCK GiiKKKH4CHICKKHNUTIIIIFEG6GE11EFFCCKOPHOIIHU11116,4014IFEDIFFEFEKKUCIEGEECCCCEECFEEICE1FEEEIFEEEFCIEEFCCCCCCGCCCIOODKCG-KK KKK 141KKH1413K4HmCMHMHICIKKKKKKIEKEEEJEKEEHIDOIHHUMIGHGHOIOICEEKKUFECFCCUCCGFCCcCCCCUFFEKKCCFEEEECCCCCUMECULICH114-#09kTeCCGCHMC UHUKKMUKHKKKKCCGGHK$0444r0MKKKKCJE(EfEKIHUW4OHNIECEHEEFKKKCCKKCCCFCCCCCCECKKCCK(KKKKKCFCCCMICCCI1CNACIIMLCCOCCGCmtimmIlt, MOIKKHUMWEGIuKKKUHEWHOHKMKGC(1.111611E1111H140411G104WOUE/DOCIKkCCCCEOFEECCCKKHcCuKCCCCGCCCC1C0,41reitCLCCLUCHCCCCHIMMCC HKHHKKuOu6SDKMIK1101140(Kii.H7HEIMCKEUJECEFFIIIICCIHHHIEDDIEEECKKECCCKKKKOKKKKKKKUCKCCKCCCIGGRK18081.CCCCCCCGCCCE1CCCUKKKKCKK 1611KKCCHIGCGCM84C6KHEH.FHIIKKKKECEEKAKCEEIIIHICHHCHuffEar.EEFKUCCKHKKKKKKCCKMCO:CCMCCKGCCOCCCCCCCCCCCCCCCOCCHCKKKKCK UMUMGGEfo0uH111111G6GKHWiKKKKKKEEFEKEItiCFCE111H11101ECOEFEEECKKCGCCGKCCCCKKKUHKKUCCCCCCCKCCUCCC4CCCCCCCCCCCCCCCCCCCKKGCCK KHMIKKCG/5I1MICHKKIIIIKKKKUKCCECKKKHKKKOIGGEGIGGIIIGGCCEIEEE6KKCCGCCC.CCOCIgKKKKKHCCGCCCCCCCKCOCCCUCCCCCCCCCKCCOCCGCCCKKK HKKHKCEKIWKCCIIIHWC4CHIIKKKEKKKKHUKKKIIKEEGGG6FTEEGEECFCEEC4KW,eCtftCCIKKKKKKKCCCCCCCCCCCKC6CCCCCCCCCCCCCCCCCGCCCCCCKCC KKHKKCECIIIKKKKIWKX1EGKKiffEEEKKOOK01111EF1HIGGGGEGGGG6CMEAPPOIKCCCCCCCCCCICKCCKCCCCCCKGCCCCGKCCHGUCCCCCCGCCCCCCCCCGCCIICCp KODOWTEUMMKKliONMOULLHGG6KKOKOOE11.1411111CCIACIAGGI-CAIGtGCCCHI4KCCCCCCCCCCCCCGCCHHCCMCCCCCCCHCCCCCCCCCCCGCCCCCCCOCCCCCCC OKOKKEEEKHKOIKKHKKKKHKLIC14IKKKKHUCCCFFICIGIKHHECKmKKCCCCCCCGCCCCHKIKKCCCGCCGCCCCCCUU000CCGCCBCCCCCCCecCcCGCCC JEKEEEEKKD.4KKIIK.KK4KUCKL01111CCC IEFETECUKIK9KKKKKKUKKKKLILE1KCCCCFCCIi,60$4.5-111_66,61.1,GGLGIIK1KKKKCCCCKKCCCHCCKKCKIKKCCGCCCCHWCCKICCCCCCCCOCCCCCCCCCCCCCCCC JEJE6FEEHKKKKKKKKKKKKKHINGKKKKKC CrFICF1111AGGCGCC64CuKKKKKCMHCCCCCCCCCCCUCCCCGcCCCCCCKCCCCCKCCCCCCCCCCCCCCCKCCCCCCCCC IEFJJEEE1111KKKKKKKX14 KKUEFGHEKKKKI C16KGGCGGILLG6G110EMKKKOKKKHCCCCCCCCCCCKCCCCCCCCCCCCCCCCCCCCCCCOcCCCCCCCUCCCKKKKCCCCCC HGIEEFEKGHTRIVOOCCO1 KEEF91111CCOE VKH1161411GCGIGGCCCCHIKKHKKKCIOICCCCCCCCCKHHCCCCCHIMKCCGCKKKCIICCCCCHCCCCCCHCCOHCKKHCCCCCC KI7,50CLEEn/44EDCKCCCCC ECCCCKDICKKH111 11G6HHCGGIULLOCCCOOGCHKOCICCCCCCCCCCCCKGcCGUKKHcCCHCCCCCCHIICCCCCCCCCCCHCCCCKiWCCCGCC MONgfl110011EMEJOCCCI;CCK*KEICEEKHGKCCEEH imcccucccuftfoomEnumnroccmccccccccccccccccoomcccccccmccomccyccolccccuximxccuccccc 1400000KKKIENNENMCCCCC IKKKKEKKHUCCHHKCLaG6G61C4G1HKOIMKKK141CCGCCCCCCCCCCCCCCCVCCCCCCCWICHICCCCCCCCCCUCCCOIKKHHCCCCCCCC 100301100KcCH4C14KCCGCK KKKKKKKKKKCCEKKK 1INHULCLIIKKOOOKKCCCCCCGMHOCCCCCCCCCCCHHCCKCIMmitimPimmGCCCCCCCCCCCO1KCCCC5CGCCCGC 1041[111HUIHMEJtiliGHEFKCC KKKKKKKKKKKKKEIKK C1KCCGGCGOOKKO4KHKCCCUCCCCCCCC4CCGCCcC10CcCCHP1m1CCCmmCHCCCCCCKIKCCKKCCCCCCCMCCUL 0401MIWK14011KKIMMCKCmCC10KKKKKKKKKHCCKEKKK 1111C6CC6011611KKCCGWCCCCCCCCCCCCCMCC1141CMGCMGCCCCMHCIICCCCCCKCKECLCCCCCGCCCCC11 00H1011flUDODOOKHCC10(00KH KKKKKKKKKHHKCKOUKK accccconctoomcccauceccccmccounopoomtucceatcnuccrucwincEctcccciviceccmir E00CHOE-0/00(WKKCCKRKKKK CCIACHKCCKCCHOCCCCCOCCCC0000e94911P80t001CCCCaCCCCCCCCLMN1CCMCCCCGCMCCCCML1 1011FAHOOHCK9KKKHKKKCKKC KKKKKKKKKKKKCC7FCCC KKKKKKKKKHUKKCOOKKC,Cail$10M4KHKCCCCCCCCCGCCCC6C1C014006080000CCCCCUCCCCCICCCCMCEC111CLUCCCECHGC KDFUO1FUCICKKCCCKKCCKKCK KKKKKKKHUKCKKCKECFCC CCCM(C4104CCCCCCCOCCHOCC114800049M040°004011:CCCUMNMICCUlCC1CCIC111101MC4HH1C IIKDOKKEDEMICKCKKKKC1IKK KKKKKKKEKHEHKKC11KCK IKIKKFOODCCCGKKKCKKHKCKKC KKKHKKEEEKKHKGKOIKKK KKKCC411114NUCCLPOC1140000400044080011099111CGC6CCCGCCCCCCCCGCCCCCCCCGHCGCCGC KccolowiccucccitcmccoomenucLestrwimucccEmcmccmcciccccceccolccccy FEKIKKE41WCKKKHKKKKiscKC IIKEECCE1KKIMCC0KKKKK ccmtcnitictuccmtum000ponaLoontionominatuccctcccuccccccecitccilitcccct KOIKHKDEUKHHCGEKHOKKKCHKK CCEEECCIIKKKKIICCOOKKKKK ccuccioitipotccutorannottwinopoopoominiGcccccccccucticccccccmcccccccc KKOKKKKHKKHHC1MIKKKHHCCCmC ECCCFKKKKKKCCKKKKKKKK CMHKCCCHIACCC11111001101,11t16131.1H0004LIACCCCICCULCCUCCCCCCCUCCCCCCCCC KKKIKKKIM1104CCKKKCKUKKKHCC fICCHKKKKKEKCCKKKKKHKKI HHWCHMULMC11114048ALIAML41,1111100110011CCCEFteCt1CGCCCCHMC411.(01CCMCC4 EIKKKKKKKK/K6111HKKKKNKGCH4C FCC1111KEEFKKOOIKKKKKUN1 ICGCCCUGCCC11111181.101111,11,11PLOL0484tGtGGCECCGC1CCGCGCCCGCCCCH1GCCCCCC OJEKKKKKKKKUKCKGMMMGCM4411111, ECCCUNNHHECKKCKKiKKRIME CLLCCEC1CleCC11111t1.011.1111_00014011AGGGCEGEECCCCCCCCCCCCMCCC1CCCMCC O1NKCHKKKKKKHKK4HHHHHImicH1 EEGKKHKKKKKKKUKKKKKK14110( KCHCGMFUCC11846011101.1111.11011000041CGFCCCCCCCMACCMCCCCCUCIACCCCC 7DEEKKKKPIK4MKKHKHHKW1411411m11C'EKKKKMIKKKKKKKKKKOFCCKEK KKC1ACCCCCGKUI110111,91.80111110'00016111111GCCCLUICCICCCCCCCCCLICCCCC 1NDOOKKKtim4KKKCKKCCMHM411MCnr CKIIKKIIUKKKKKKuCKKKKCCCKK CKCGCCCC111.11.1.1111,111tiOn4n0/1100111C1811C1CCCLUCCGCCCUILCCCLCCCue. MOHKKKKtiriKKKKCCKKKKOINKKCCM4 KKMHKKIIKKKKKHKKNKKKHKK cccccummloiatrutuut.ep000twunneepoitittticcccooltetcutHIr OHN000OLKMM4KKMKKKHKCCKM4HKC1C KKHHK141KKKKK111KCKKEKKKKHC ccucuteepoiteauespeanoonoiciLLoppoottLitmccittmmccmccILL 11KCF000KH441KHKmCKIKKKK4MCCCC fluKUKKHHKEKKK1KHCCIKKNKCKK C1CC118114.0008114t9901T11.0111011C1C1111t111L1CMCCCCCCCLCCCCCOCCL KKKFE044F0CZCKC101110111KKCKliCtCC KO0111KK,111KKKKKKKCCKKKKCKKKCccitemmagenntaimentettticcuccculatticccccmccaucucccc walmoirmocccccutiuKtmitimmnir ArlutimmocKEKKKKKIaKxtEktow,K oPnPonttuttationtiumuccikicccecteccitcmccLccucccLcccc UNDIHKEJEML1VCC411KKKKKCCCK4HCP'KKEKKKKKKKKCCKCUKEKK44KKC Luoitcctlicuccutccuutticcicticccuicant.cmccctcucmisAlc 1105470041MJCDCCGCNIWKKKGCCKGIWC ilIKKKFKKCKKCKKK1LKCGCCEEC 1.111CLULC1,111511CCUL11.1CC0CGC11CCUCHKUCHCCC4401GBRIMMIA loomiolummiroccectwiletowccxcmow CHKKEEKKKKKKKEHKCUGGCEEF ALccicucLciccecccttuitccmcccccccutchecthemmwetaRnticc MNIKHK11KKOOFOTHCIKCCKKKCIKK111(KCHKK :1<loorlocKKEKKcccueccucc 1C1,14s.teCLC000041CCCCCUCCCC:CFCCCCCCCLCCGCCCCCW14111CCM01,00C DIIHROMMIMMEEFIK1106111.CCUCHICCIKKKC CICKKKuKEKKCKCCCC1,1E(CCE cutticcupoRonacGcccweccucccceccectitccurintitmummei KKFINF71K647C011/1/110001GMUCKGKCC4CKCLC KNIIKKKCCCCCCGcGGCCET CC(1111.11CC10110491CC11.110CCCGCCCCCGCCC1CCCCLKIMCD10011a0 KKKK4HUm11414°000flien6G/76CCHCKKC4CKKCCU1 CEETCCCCCCCICCIAECCCC CUCC1111C1000004111C6G111ACGCCCCCCCC1LCCHt1C11.110414c11CP KKKKKHK41111HPKWHIFFE0OGICECCKGC181KUKCICCG ,C1CC114110p080001,11CLL111111CCCUM01,1111111111014111011111. KKKKKM414KetvE11007117F111CCHIPCCUHfiC.UOUCWEI FECECC6FCCFCCCGUECEE-ECCCLMCIAOP090011CCCCUC6CCCCCOXL10411CCCCCHUCIAliC tCCCLC1101GEG6ffEC. . immorRouriirsnoorGircHrictuctimlionaluiEGEG GuccucittAGEica ccfccmcccisonnoicccmitGcccacccutcccccucccccctic KKKK40947141161.101100100mOCC(CKCKHHUKIMMICIGFEFEE GGGCCE/ECCCGCCCE ccccut(iicautilitutistcecccmcctucmcccrm1101 UKKIIKMFFIKmmiC4OnFFIEK4FKuLC11,411HuliKKiii1HL6ECEFEGC, CGCC11,115141C11t1t1C511c1CGCCCCCCCCCILCCCCCCCCCCCGCCC 11/01KKKK4FF/UM44C14-7111COOFKKCI111101KCHKHGCCGEECGGECE.. GCGCCEEFFCFEEEECCCCCLIROLP091_11.111t11111CCIAICCCCC516CCCCCCeCCCCCCLC Ii4K1u4KKKKNIMPteirpc14KtitEGHKK1WKWOOIKMMI1C11WEGtfEEE 11CCGCEFIXEFC*;CCC14,411000904111KILP011.1.11CCCCGCCGCCCGCCCGC.CCCC1.1.1 EFIEEEC CLCCLCCCG11111111tGC1,11.1.11,1CCCECCCCEICCfECCCCCCCLCCCC5C KKK4HKKKHN41K1FDDE114011/00141finEuKBHHKGEEECGEECEffCCW FEFECECCCCCCCCCUCCUCCCCILCCCEETUEfCEEFCCCUTEFFECCCCCCGCE1 KKKKIIK4KKKK4110114HNIIKDOOFHGCHUIWIIMMICECECGE6EFECIEFEGEffEfCCCEUCCCCCCGCCCCCCMCCCEECCGCCCCEFGCCCfCCCCCCCCrUTCCCCCCCCLC 1001(KKKKKH41141141KHROIGU/DOM4fuHHCOOKKGEE66EEffEFFEFfEICGEECF/C6CGCCULGCCCCCLIACCCC6CECUCCCCCCCCFCCCGCCCCCEECCCCGGCCLC OKKHKKKKK4KKPEKEKKDOE71116X101HUHEEFECEEUEGC,XEEECCECUEFEEGCC11_11C11UCIG1LCCCr1CCCCCCCGCCGCCCFCCFCKCCCCCCCCCCCCEECCUECC IIKKIKKKKKKKKKCCCGCJOKOODKOK61191111011KKKEF.CCFCLCEfFEUECEFFF6CCCI4CCURIACCEtCCG11111CCriliteCCCCCCCECCCCCCCCUCCCCCCCCFEECCU 1495 1496 1497 1490 1499 1500 1501 1502 1503 1504 1505 1506 1507 1508 1509 1510 1511 1512 1513 1514 1515 1516 1517 1510 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1530 1539 1540 1541 1542 1545 1544 1545 1546 1547 1548 1545 1550 1551 1552 1553 1554 1555 1556 1557 1558 1959 KKKKKICKKKK14111111C ODE UK nt 011HG111111111HEEFCCGCGCLL EGGS EEEE HEE EU tEC111111.1GGCEEGG11110111111111.1 Lill GEFEGEMCF EtECCGCEEFEEEF 5 1(KKKKKIIKKKKE111,00(1(191110(11111:0141-1111111FGICEEEEEEEECG1C166111 1.111 h I KKKKKKKKKOCKKKK101HKIIHOODIMF.GGKODIIGDGEIIET OILCCCGCGECLILIOOIOHLLOOLI GEGEEEEEEEEECCFECCEEIVCGC EEFE EGGEFFCC1 El:FUME cccitnonnt f,p CCCCCI_ KKK10:101141(KKKIKKKCKICOODIGG010111H11116611EEEFE 6116G6GLECCE (49011011001,1nti 'AGM EFEGFECCEEG1 /11 el_ EEELIEEEECC1111.11101 GICEEEECLIPOOOIIOLLEILL111GCEEEEIECCGCCCH KKKKKKKI(11101/111KKKKKKOHKG0f1DC11K101110110111-EE61CFECCFEFCCCCCCEEEEEFC1.1111008130110011GGCFCCI 10<C10(101114T4, til(10(10(KkK MOW( FI1KHC KOC1011GEUGGGGCFCGGE1t11.1 ennontoionwints,cci cccccc EEC( EEFECL0011001f1L1 01EFEGI UCCL P8900010081 GEM-CC 1011110111KKI1t1HP1PIKKCI1KKKI1111101E0K0000611GGFFEFEGGEEEGGFEGEGGGE EFEEt urctt.GECIA 01101 CEETECCCIALL1111101161 1111-1101 ?<KC t11(iitiltv)iCKKI(111311111015116100110161 EE EGGGI GEFGGEGGC1 EETEFEEFFEGLL111.1.161.111GGIFCCCC116110109 111111KIIIIIKKKI<KtinCKKKYMIEGGCEIIGOE00111.11EIEGELGGGIGEG67666EEEFEFIfF141.1/1161. GCLU/111CCI:CCC,C1 10IKKK 141KliCKKK HI1KNKIKFKKKKODCF 00G 111116116E1 EGE 111616E ELLGGGEEF. IEEE I ELL GC11.1.161 CC11101111 IIKKKKG0H1HHHHHi1t1CtkEEKKOCE IFIEH 11111001116,000661611EGGGGGGEEEEEEFEFCEGGC661.1616660 tiKIIIIKYIKKKHKHHC1011111KKF011GOUG IDOOGGIL IIGIDGEEEGGGILUGGGGGGGEEEE EEEEECGGGEGE ECG 11111*0361019KK 10IKKKKHRKKKK 0117100DGGGGI 61GG1LLLGGGLIGG000EFEGGGGEGEEEEHHG1 11tE 11K71r16/1C1ItikKH10(11,1KK hKKKKOOKK100G1GG1G11166GGGLGG61G6GGEEEEGEGG4;(61)1141 /11101K /01KK IOC KKKIIKK/1FMK K0110000111GGGUGGGGGGGGGGGG1AIGGGGGGGGGC KKK II OKKKKKKK10( Kt111101: MOK111 11;16116G 11111.116111 GE GOAL 66161,1, HHCCCCKKKKICKKKK 11KKOmitiKe,K11011111GGGGG111111111.66GGla 100111KKHKKKKKKCIIIIGKKKOOOK11110EIGGGGGEEGOUL11.1.11111 10111GICK,Kt1C10(1(kCICKI(K1c1(110)114116111111Efl GGFGG11.111 11111(KKKKKKKKKKKKKKKKOEHKKKGEEGL IC 1011111 1111111KKKKK10(100111XCCCC030101GC131111010,1 111111)K10(KKCKKKOIKKCCE001KKKKKVK KKI(10(1)10(C11KKCKKKEE181111406 Ilk KKKKKKKKKK K KICKDOK CIO< MIK KK K KKK KK KKG111e.KKK KCKK tr, 1297 B 1290 6 1299 1300 1301 1302 1303 1304 1305 1306 1307 1302 1309 1310 1311 0312 1311 1314 1315 1316 1317 1315 1313 1320 1321 1322 1323 1324 1325 1326 1327 1322 1329 1330 1331 1332 1333 1334 1335 1336 13ST 1330 1339 1340 1341 1342 1343 1344 1345 1346 1141 1140 1349 1350 1351 1352 1351 1354 1355 1055 1357 1350 1359 1360 1361 , 01 00 90 166 GG6 G116 FGG 01109 011110 009141 010111 00111111 0004011 0900010 10001019 004110011 111106111 IFIGGILIL 000GG6GIA 09111966666 0000111111 09000009111 00090000011 11C000909001 EEE0000001100 TEXK00000190 0000010900000 0000110000T000 04409T.9014404011 110010(0701414911 01000(00111914410 1411010(KH1011109H141 11101490099901090 001101H101011094191 OKK01910010KK11H1111 06000609000900011 CCC4IK1106KK410061106 HHCC6110416C3KKHGCH CCCCG6K111162114(4(11CCG 1GGCTHHGCCCHHCC1010 66000011066G04-4C44v0C 3664;66t6069G6114101106 60061666C9.:36CCGC90 GCGCC1161664:GCCCC000C 66666666661".:11.6666011 1.6666666667,7,1t36666C Gat11G1Clitl611_11_1(1. 13.1611.13lt66666661Alt 6666116666666661.366GGG 6666TGE66631.666660t666 1.1t6E6G6t1.31.1_11.61.61.166 11.014166661109LP0091666GG4. F611GEG661.1.11.1_11.166143A6 6616114036100016(1161.13.1.1. 6GLGEGIAGGILIJAPIGG66666 G6666666E1666666E11E6E66 66GUAGGGLIGG6GIAGG6t4ONH ILFFLGII0GGAM000LI9400ttl GCHGTHGHW6GGEEGFETTEC666 4-IGGGG6666666f1T66666666666 (J) CN ON *363 1364 1365 1366 1367 1366 1369 1370 1371 1372 1373 1374 1375 1376 1377 1378 1379 1380 1361 1 382 1383 1384 1365 1386 1387 1366 1389 1390 1391 139? B 666666666666666656E66G616166 6 14666G6G6GGRGGG6IGGGEGGH1010; GF00116611666;611 GG6GE6E11666G6 11708801GGCOODOOGIOH6GFEEHHH66 Gr8000066666600t6HHGG610166461 616680116H6690001HHOG6llfi66 1166 GGG000666116/6600166661F0I611 1466766661M6toRnor6000660611E6GG 66610066061.06111110161109106111166 016101118890011016106001100166GG 686001611/03801116610054111100611166 60866611676006761I6G06009611001666 10666P1 111110086000A0600001106666 H00660FHHHOB699166616606111fiF8066 H16801101016,66007666166969116606011 H101401411HHF0006166616866866611161 H11666081611511HUGGGGGODO0FGGG6GGIG1 1.6160600Fu1UMO1m6F 1666666666611;11 HUHT009071M0H1016tOPPICE6G7666,16611 HuliTROarE0096111111l60011GGGG6GGGC1166 611611/611-176614046010611566E6EFE666G66 06141711fi11iK00011MGOE00DGEGEGGGEEEGGGI H6014I101111306/GUGLOOPOUGGG66GrEG6666 1166641111M1160606611/6066066161666446666 HUp6666iiIHH70666/116806616E6EEECGGEGG6 Un111100011114100616GHL0O6OLFGEGGGGGGGG1 DIM60061104110061611HGBOBOAGG6GGGGG6GGGG 0446000666111311666HUGG66666ttEGG6GG1666G 60881666611;6f6ROBFGH666GGGGGGG6G6GGGGGG CU1106686vGG6G6H111/661POLEGEIGG6166tGEGG 1393 1394 1195 1196 1397 JJEGtpr16614311116111117160001E6EEG66EEGGE6G COUEIGIFFGG6111416461E001300RGE6GGGGGGEGGG1A 1396 1399 1400 016Bett6C6CE11111ECEM16E0116117fBLGUAG660 EDET6OFJEJJJFEECEFEEHD0G0GI1E6061I66116666 OFFEH00EMEJEFEEEE06016G4FFIEEDEOGUGGHGGG 1401 1402 1401 6DE00PEEEETEFEEEOTEFGIDDGUHIED0EIE111/HIHIGGrE 1404 1405 1406 1407 1408 1409 1410 1411 1412 1413 1414 1415 1416 1417 1410 1421 1422 1423 1424 1425 1426 1427 600686669IGmit0~66006811666666666666669 10860P606151H1HUMOIGG66116111/6666666606 1660660061111IHHH4IH0000001611111166111.1.0613 010110FEEEft31UFEECOMIIG6G661009UE1DOBBGEF 000IH000EFT1frolF170601166661.110rECROP09IKC11 00006JEEttEEtC0668613PPOWEGGULGG606660661111 600801E1E1E7E6000000900611666666GGE6GFRFC1716 006011E6EETEM0D0159080000116666G6E16G1G601111111 000ROOlEffEE600066656001G6G(FG6EGGGG6GGI10661 E00000OIGHEE18608600106J61.6666E6E666111869006H 600060ROPPP000666060f0601660:66GGCGG(66660DOr 00100C0001000006666060EM6GF66666G66G6G660176/ BOOFE/09911110665966000116GGEFEGGGGG66GG6GGETEH E0EPT606060166606066661f111110E0E1G6t66GErGE0OG 00061FE0006D1101106VD0O0ETI110616601111IEEGGEEEEPOGEG E10051000BI0DUBM00EDE661)161410001001111HH4EF01141 611/00006rEF01,6406900614001111HH111110001161111 1NSIMH001466 ME000010tEETEWPCBADEF00aimantion00001647mHNHHHHII 100000000EFETEEEOM000001110 1060(16100001 6111 TW141141116 1)1111001MD0DDE!D50009E0001610166160001166011,14441114 44 46666 0000010600000969008B00604KKWIKKKKPPODIOW4 1HHoi111116 0000D09H6m6P1V0006006600060006110/109KKau14114INHM/6 OOKKOOOmmh4CDOODOOKKK000DK660001,010116111KKKKKKIIHrocc11 BKKKDOOKHH67:600000a06000DP01K1100 O00116600,60KKHilvarK ODX/6.0166K00K11010 rCOP009019000DOODOOPTIKKok8KKKGGC/66 0006110060-KODOODOPKKKOOK100000600061110111116166666 DOKKKKKKKur76KKKOOKKKKOKIM0000001111111EFEETCCCCC6 DKCEXCKIOCCCMCCHOKV6OKKDKKDrir111111111111MKICCCCCP0616 6614666CCC6611M161(KlaKKKKI0(KKKI 10144 It 1 ttiaaamemaaaalm 0" iI29 8 cnnct,KKKim:ct-cctx,cCKcEKIIIIKultitroulul IODODDEEECCHO999q 1430 6 11HCKKKKKKIC;CIICKKCI1KCCI1KKKIOIGGG11111)60130011111CC1111C080111!11 1433 1432 1433 1434 1435 CKKNKKKOKKCCCFIKCE14CKI1CKKKI(OrG60G 11100111111KCCCCCCRI!91,130 1436 3437 1437 1439 1440 1441 1442 1443 1444 1445 1446 1447 1448 1445 1450 1451 1452 1453 1454 1455 1456 1451 1458 1459 1460 1461 1462 1463 9 KKKKKICKKC MC CC KKKC EFK1811(KI<KKCCIEGEG K 1009K KOCCCGCH111111,11 IC, CKCKICKKC tiCrifinCCCCEEK111)1(1(11CMKKC KKCIC1-191-1KKlitmCcncti I I I 01111u CCCCKCC119181H111111CCEEEEEEEKKcAKKKKK111000011CuCCCCCIMI NW III CCCKKIICKCCGCCHHCCCMEEEEIEKKKKOKOKK 011011,111I KCCCCKtilititi 10E0101 CCCKK KKKCCCCCCCCCCCC KE ()MK KKKK KKIPoli1OuriCiiCCCCC11101n001E 01116 KKKKICKKKCC3GCCCCCUCCcKEEUUKKKIP1111(K/4110xCICOCCCI(Milf11001E 1(KKKK KHCCCCHHCCCCCCC NI< KOEF HCC111101MOOLDIE GGCCC 09119 CO 0110E E 01111 KCCCCCCC1111.1t4CmCCCCCFCCCHritici1CCIIiitiK1111P*11GEEGEI000110001)GE1111GG CCCECCCCIffitylmICCCHCCCKG1111i111KKCCC1111D1)0000EEOEKOEIonnononntm CCCCCCCHCCGCC1111CCCCCUMKKI-4,111FCCCCP101)K1)911001)01)1E1101)BODOEtilING CCCCCCCCCCCGCC11011CCCCCHCOCCCriCCCIP10110001111017000410090001810186 CCHCCCCCCCGCCCrint1CCCCACCDPSC141114CCC11000110111100K001013909909111r10 lit111CliCC11CC:;;CCCCCCCCEECCEEEElititaCCCrif 1171110000000017000010EDIE 6G CCCCCCCCCC:NECCCCCCCCI1CCC3111MEEEEHI1CC111(0000 COm01)00F1198118911111160 CGCCCCCCCC!;C KKCCCCCCCKKCCC HEDOOEEE1110(1101:1000U0E DOPE DOPE 0000000 CCCCC CCIitoCCIMCCCI<CCCCCUMCCCF10E 000000100011011190000 IG 10008000013 CCCCCCCCCCCCCCCCCCCCCCCCCII0K13000000000000P0110000000111198990e0e CCCCCCCCCIIKHC CCCCCCC1111K0013011KDOOKOD001100110000001)(100011111000800 CCCCCCIMCCCCCCCCCCCCKOKKODDI0119C80001100DDOIYD1)1109900110001)08000/ 1 CCC1 lititiLCCC CC CCCCCCI1KKCKKKK V0000KEK 00000013C001841109000011011001111 VII C1.1111C1CCKCHCCCEECKEKKKKKEE000001)01101.0910001(11001100000D0013001)091 1.11111Cel CC CECCCCC8CEKKKK 1)(11KOOKK0000001301)1090DDOE 000000000001 LULL C11,111 CCCCCCCCCKCCKKKKKECKNIK0000110(11100000001111111)00000001)(11)111 UMW:CC HCCCCCCCCCGCCCCKKGKDKNCKK 1110101)(1110010xK0vocccc00Kno900000 CC( IC CLCCCCCCCCCCCCCCKKCCYKICKKK CKDOODOE1011110 KKCC8110CCCIIIIrmi100011001111 1111C;C ICC Cu?, Cm011114MCMCCCCICCKKVEK KKK 0010(KKHOEKOK8CCCGCCCCHOOEK1111100011 MCCCLI,CC1111CCCOCCCMCCCHMCCGCCECCKHIDIIIKCCK811KCCCCCCCCCM01111131)001100 CCECCCCCCCCCCCCCCCCMCCcHCCCCCCCKOODOKIICCCCCCWICCE1111111111111111111111K0011DD LCCCCC1111 ICLI CCC /1/111.1411CCC CCCCC CC01111(1081C CC CCCGCC KC El1111)CCCC111 FM 00000 CCCGCC111.1.C.:1MCCCtICCCCALCCCCCCGCCCIII<KKCCCCCCCHHCKCDKIIIIIICCCC1111110091)017 CCCCCCHHCC.:CCCCCCCCCCCMCCCCCCCCEEKK1111CKCIICCC1ICHCCCEKKIIKKEEE1100000roill lictimtottcHcccostowcrtectstitoicecccuotccccccccritactirccr lovi(cricfoeEtinnticn 1461. cccuccciltt cceritifilhlitICCCCCGCCCCHCE KKCCCCCC fiCCCCccEEEKCKII1ICCOOL1C000011 1465 1466 1467 1461 1469 1470 1471 1472 1473 1474 1475 1476 1477 1478 1479 1480 1481 1482 1483 1484 1485 1486 1487 1488 1489 1690 1491 1492 1493 CCCCt4CCCHHILCCISMC111CCHCCHCCCCCCHCKE1111CCHCCCCCHCMCKEEEDKOKKCE11011000001) C1111111111c lit-t1LCHClifirinCCCCL HCC11C 1114CKCHCCC 11C ccothriccitxximsEErcononortooti C11111.1101111HCC11111 PIHCCCHMOSCCCECCCCCPICLOCCC1414111111CHITCCKKGCCCC00EC0E018)101) 61111Cc HNIICC NNC.NNMNCMMHMHC. 111116666661661601.4 rrnitin111111CCCCCKCC111111111000111114011 timi11lit1titiM13111inilnrinCCIINC000CCCWItiCCH111111,0111CCCCCHCCCCCC111111EHrth00uCcil 311 CC CU: /114,4C CCCCC1'111 CCCCC11CCCCCCCC ClICCCC CH pritimcccc CCCCC KKKH11HE MC011000HOC 111.1.1CCCGC:ICL H1111C1CCCCCCCCCCMCCCCCCCCCCCC1.11CGCCCCCCCCCKKKHCCCI1DOI C1101030 C11.111CCCCU:111,11./114611911111.11111CC6666166C1.1,1/1CCGCCCCHCKY,/(1(11CCCCW00000000 CGCLCLUCC13C11CM111M111CULL111.111CCCCCCCCriM171CCCCCCCCCCCKCCCIICCCCCM)0111/001) 1CCCC11.1.11 ILI H1.111.6111.1111111311CCCCCCCH111.11CCCKKCCCCCCHCKCEDICCCC111101)160 CCCLL C11111.14111111111.111101.11.11H1114m11p1111,CCCCCCCCCCCIACCCCC11C,11CCMIHDEE M CCCIICLCCLIOL61 1.111611116111,11111C1LCHMLO4CCCCCCCMCmtICCCCCCECKtent1t1CCCCOF CCCCCCCC11.C.n LICCCCUMCCILL111CCCC1CMDCCCCCGCCCtifitiliCCCCCCEFE111CCCtICCCCHCH CO CCC CC HIIL.l.tF tit LLCM!. It 111 11 IA 11111661161 Ntit1CC111191111.1CCCCCECCOnec11C(1118C I Et 11FCf.11l1L ULU 11CCCItt 11.1.1111CCHrinCril CCCCCCtItiCCCCCCCCH31166611 PC1Er ICCCCCLLCCCLII000C$LL111.1IL it. toccrint C111C C MCC 1.1111. CCCCC1.111..111 11 CC1 CCLCILL1 ILL au 11. 11111_111ILLIILLLHICC .NLC mcrimintititicictccin cmcccccctiEctiicccucLL tu.,cciu oPcintmaccecctievaticcur. CCICLCCCIACC0CCCCGCCCCC11.1111CCCCUGG111H/ICCUCCCCCCCC C111.1.11 POLCCC111.1CCC1111.11111_11.111. MIA FOCI. 111.111 CCCCCCCCC 011.1C CLIACCILICCC11111.111C1 CCGCCCIICCCI. CCCULC1 ICC CCCCIA CCCCI.C111.1111.11111CCC61311 CCIALCL 1CC::.1 CLC1CCI.CCCCC/11 rihtirifit tit*. CCCICCCCCAL CCCCICCMCCCCI.C11111.1 CCCECGCCCII CCCCCCCCCCCI;Ccc1.C1. ccEatiLcucccccu ccccm CCCC1.1116Ccct CCCGLCL1 CUGGCGC6,Cc3r EEGGCCUCCCCC (J3 00 WO :^M*M00.0.00 ........ 369 .'.NNNNNNNNNNP07,,m1.4.4.4..441.,.1.4.7tP01.1,0O,ONNN 370 Key To Appendix IV, 13 Fuel Type Classes Om. c C C 2 3 ___...----4.... e.......,..- ,- a a C -- 5 a s Om. , 1 ,C2 ' -- b 12 \ C C 3 b 4 C , C 2 \ 1 c \ cm. 1 5 an. 1 \\ C 4 3 c a 1 5 b , '-C \C \ c C 3Q (2 1 C C d 5 d 4 d cm. \ C C 2 e e \ Cm. C 2 \ C 3 \ t 5 4 e e \ C\ \ C 3 e f 6 \ C 5 C 4 f C , \ \ \C 6 f 1 C Cm. 9 C\\....... Om. 2 h Om. Figure 44. ._ 9- - - 4 g Om. C 3 h...------Om. Cm. The outline of Crater Lake vicinity has been inserted to indicate which portions cover which portion of the Park boundary, data boundary, Om. WINI=1.11M --/- ---- c 5 6 Cm. Om. h h 9 9 c ......---- 4 C C C 11 h National Park and in figure above of Appendix IV Park and vicinity. Spectral / Topographic Omitted. ..v=.5,0=Yxu.0.GuWw0OUJ = .... ZX.=m1...cm0= cum= a, CJ a+ 6., 02==5.,0 YYUC(6. CD=C0=000... -%. 0 1.n0C=0=== = 0Y0 <ICC 0= === 22.= 17.000=0 0 S=00=1-.Y2.CM000000000 t.. 371 L.+ I.JC)C. C. = 0.. 5. 00C2(..)0 ISIS= *.Y0W0XWSCCC=CC00CCOO'r.0=0=0====.0.ssz0.50155=7.0=0::=0==0050.0=:..^CC, =22,,,00XW...000C0==M00. 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1110DOPP1I114CCAD9ADE131100,iPAAPAPOWAIA1116811/V11111POUUM890900OPUtTIOIATIMAUBUMUTTUATIMIPTTGE6RFA9008111CRAOTC000F011AuE POOOK18911ABOD0000001191100APAPAPUU18111MOTUMUUUUMUMUAT1389AUOPAU11-1111111311UuOUUUUMUIACPCEE6C1CCCCI009CCOOACCORFF9MIAA1 . . 1231 1232 C .. ....... .... k, VV VY V V V p0P9DPIOD9091100UAAITAIRruPPPGGGGGGPPeGGP4CGPCG6G64G6GGGGIGGG6GGGGGG6G666GPOPCGrGGGGGE.G4GGGGGG6G6GGGGCG664G6GGG60VVVVvVvVy 1235 d HP000000009000RUMALRU01664GCGGGGG08PVP00GGGGGGGGG6GGGGGGGGGCGGGGGG6GGGGGGFPGGGGGGGE,GGGGGGGGGGG4GGGGCGGGGGCGVVVVVVVvVvId Auppi,m0ums,5pDVIAUUP141-,GGIAGIAGGDUPP999PPGPGGGGGPrpGEGGfiGG6G6GGGGGGCGCG664GP6CCPGG4GGCGGGGGG6G6G6GGGCCGGGGGVVVVI/VVVVVVV 1234 AROOPEOUIPP9PFP0UOUURirEPPG6G6GGPOOPPPOPPGGGGPPPP/G66156GGGGGGGGGGGGGGGGG6GGGPI;GGPIGGGCGGGGWAGGGG6GGGG6GGGV0VVVVVVVVvvVV 1215 1,901,09H9HrperPPL0A1UA106We0001,0004P/P0PpG41PGPFPPPGGGGI6GGGGGGGGGGGCGGCGGGGGGGGGGGGC1G66666G,66G6GGIAGGVVVVVVVVVVVvvvVV 1236 o$10MIAPPPP7vPII.GGE41.60P,WPE4PBEIAPPG6GGGCCMGP/P646r11,464GGGGGrAGGG046G6GG6CCGCGfiGGWGIAGGG6fi000.4666644VVVVVVVVVVVVVVVVV 1237 1230 1239 1240 1241 1242 1243 1244 1245 124E 1247 1244 1249 1250 1251 3 000000001UWWWPG116GP9pPPP0PPPPGGPrPPpGGPP9OFOPPPP0PP611P0C6CG6GGGGGGGGGGCGGGG6GGCGGGV,G6666666GVVvilvvVVVVVvVVvVvvVVV DOBIAMOOP00000DOPMAGP0pPOCP0P4P.0PPPPGGCGGracCCPPPPPPPILIFPIEUGGGG6GGG6GGGGGG6GGCGC6GG646G66G4G6VVVVvVVVVVVV9VVVVVVVVVV 00D70000Boup000g0p0fIAGNAppepppp11001,PGGGP6GGGPCCIWPG6GGJGPEPP0006GGGGGEGGG61,6GGGE,GGGGG6GGGGGGGVVvVVVVVVVvvVVVVVvVVVvVVY POOD°11000090009.00/9091090000P000C0PPOPPGGGPPPP0PPPGGGPGA/PCWXGGGG6G46GGGGCGGGGPGGG6G6GGGGVVVVVVVVVVVVVVVVVVVYVVVVVV SOCOODOPOPoDOPPOCOIPPAUOIMPF0PPrP079PPIPCGGGPPPPPPPPPGGGGPI-FPGGGGGGGGCGEAGGGGG6666GGG6GGGGGGG4VVVvVvvvvVVvvvVVVyvVVvvVVV 000000590119000000CPPATP00P0CEOPMP70CCPC,GcGGGPCPPPLEGGGGPAOPPGGGGG6GGGGGGGGGGG66GGGGGCGGGGGGGGVVVVVvvVyvvvvVVVVVVvVVvvVVV pflUDOOOODOMODUI1OPOOrPDOPP0P0009PPCIWPPGCCGp4PCPPGJGGGGGPV0PGGCGri.GGGCGG6G4G6G66GGGGJGG66GGGVVVVVVVVVVYVVVVVVVVV0VVVVVVY 00000POODU0DOODOOPEOP0PCP09P4PPPPF040CCCOPNICCPPPPPCG6GGPP0PPG60PGGGGCGGGGGGCGG4G0w4G6G6G6G6VVVVVVVv0vVVVvVVVVVyvvv0vVVii 1101100D0q00900B0a0B944PPOPPBPPP917,19110PPPPPPPPPPGIAGGC1FMACPPCGGGGGGGE,GG6G6GG6GGGGG64GGVVV0VVVVV0vVVVVVVVVVVvvvvvV0V (10000000DWDOOOVUDOOROPCOODEPPPPPP10099,94P6GPG41,411,PPPPPLLOEGGPPGGGGIGGG6GGGGGCGGGEGGG666GGGVVVVVvvyvVVVVVVVVVVVVV0VvvVVV 00000000000UUDOOPDEROCCOong(PNWPPPPPPPP/AGG,,PGGGG"PC6FIGGE.G6NAGGCG66.66GGGGPG6GCCAGG44GGyVVVVVVvVVVy0VVvVVVVVI/vvyvvvVV ungoo999400pooD9BEncoOcCOODOPPVPPPPC.0PGGCGGGGPPPPPPGPPGWPGGGGGGGGGW,GGEGGEAGGG6GG64VvVVVVVVVVvVVVVVVVVVVVVVVVVVVVV 000000°00M1000°00t0009CCCDOODPCPPPPGGCGGGGEGGGGCPPPPPGPPGG0P,0466C6GGGGGG.GGGGGGGGGGGGGVVVVVVVVVVvVVVVVVVVVVVVV90VVVVVVY 00000000000V011900000CCCOU0010C000PP0PPPGGGCCGCCEPCCIPPCPPPPGJ1G66466GGGG6GGAGGGGGGGCGG0VVVVVVVVVVVVVVVVVVVVVVVVVVVV0VVVY . on Doc ODBRUPOUPOOMBDOOPPP01141111U1100110000UMCCPBCO9PPPIPUPGGGG6.8rPPGGGGGPPPPPIUTUU111°A8AGGAGGIWGGGGAGGGGVGV ,,r, 0004fiHUMAPOOnP.P9911001D4OPPOo0000004(11.1UDOPWWGGGGGGGGPPPGPOPGGUG1111181)00W6GGGGJGGGGGO/VV0VvVVVvVV HODTITMOD4001MOPP0607.11PPOTWCOVODOODOPPPRODOOPPGGGGGGGGPGJGPFPW67.69IfflOAGOAGGGW:GGVVVVVVYVVVVVVVVV 11flAUU81110BPUHP9PerlIffeeDROUBODOOPOOPePCOCCOURPGGGGGP0PPJPPCGGG61111,170°F0GGGG6G61:60VVVVVVVVyvV4VvVVII 011PIPPPOr0561018DOCODOUNIOOJCPPrPPPF.11J6W1011111488GGGGGGGGGGGY0VvV4VvVVVVVvVvVV0vCDOCCCO9HOGGP40111Un8AI1(1 111900UPPUPPDP148°99.1008141POPPECPPOODOPMOCCCCOODOCHM1DOrrAGeGPUGUIAAFEWGGGGGGGG6VVVVVVVVVVVVVVVVyVVVVY e AW0111118110DPOOODPPPATTOODPPCIODOODDSSPCOWWWOOWNWHWHODUJGGGG11111T0383GGGGW:GVVVVVVVVVVYVVVVVVVVyVVVVV ! ' ' 1307 1306 1305 1304 1303 1302 1301 1100 1299 1TTuunolmone00opPP333peroPPPPonewirirwwwwwwrwwcwrwwePcGucciet,wo;c6GGcGvvvvvvvvvvvvvvvvvvvvyvvvvy 3 1298 VVVVVVVVVVVVVVVVV r u mumoommoccoccrmmuunueonoomminiviwtrrprPrpowinewwww VVVVVVVVVVVVVVVY ii3Owok,,,,(111s r 1,7404 C 1297 " " , 1363 k: .. , . . . , t . . ,..., , .. . 1 4 . t ,,,, b . . 4,, ..,4.4.11,4,1,4,1 l 4 l 41 l,. 1 . 4 , 4 ,\ , l 1 4 , ',MAIM ,`10'111, 04 11014PHi'1'rIM11-1.ffitH14`.1111111. l F , 1495 C 1496 3 1497 h 1490 1499 1500 1501 . r 1,c1 .... 1.11,1,11,;111.X1'CIA,..11(11M:10!. 10,1,1%11111101 P000D1PRUCCR1000000/130001MV000U00000100(00fCCCCOOFER9ORCRR0RW,OORGGPCOOORR111191,00POCCCCR9C00990011911000MNIKOPP00000000D0fle 110000OOCOIKKKT0P0WMPM001100F1000090KKKKKCCCCUCIOP9atROURRRO,,PRCCCGCCGORF0R9OPIROGRPCC99PUR0ROH0C000K1011CUD000000000001 PCD0000DnPKKKKVV10090090001111POOKKKOKX0CGGCGCPP9CEFECGERRORROOOCCOOC111009912P9CR99CCD91PRIMUHOOfKKK1KKOCOM1OCR01109100 001:10DPOCHOOKKKKVKKK90011000914KIKKNKIMKNKVGPFC6CCCCGCOOGFGRARR01RGCC131110000011P000BCCHORPRRIFRARI11IMIUUKTOODPOPOP0009001MP PO00000MPO9PKW(KNKIRRPRINFRHNN1MKNNKNUtePlfPGCCC00PU1RGGGGRRRCC110111611011C0009CCRISUC11000901290RPUITUKKOPn9011110I00C001101 POPOUDOOCCUM0INIK1UN1K1RRERPOINNKKKKK1311GCMIIGCPCCOP09C100°V[POIC000099000RPPGCBOBOCCHMIGRORPRGEW1.11KOOCCOCOOCHMDOMEt 3 0300140100010100000011 4001000900106,110050000010001111061100100100000J000000066000000000010110.1111111111011010811111,111.1010011110&1099903114110000 141H044900/0104001000040000100114000000000000400000114111111011111006111111111111111/011/1911333390000000900 d090600010410011110500010101110015500104000014410000000000000010.00010111011110931111114111111d11111011,10110103333000300030004 4601 0601 1601 1099 C ' I l lu' I I l 171111111111 1/' 1171 111' 11111IIIN19'.1H1111HHi11111V1111N 1111111111V11111 111110 witimiltmlimmit4muliummeuts 1165 116E 1167 158 1169 ......... ., . r ~IOU, 1!*) lllllll C 1 101101,!,1111KKKIMUOM10111111111. 111111/1)1WIMIlJUI-1119.11111.01,1. 4 WHPUOuT11111111111111RODCC11 lllll 111H11a1101P/0111111510110110116111011111110111111111M16111u11000011111MMUUnu95M/PIINCCR9P6RPRP0OCP5U1Mint1 C PI 111-1111,11-11111100110B101CC0001T111~1190111I11111111611I UD9MI11TH/UU11U150011111111(UOI4I$P00011101111151(/1IDGCRRGPRI7GCR14M9OPU9OH111110H 11100(11141411111PTfirCef00011111110110461100111111-1UVUIP096VUHO11IHUM000 113CRA59PRRR11/1Mo1111ccc000IMOU9pCCD5111M91145UP01 1231 1232 1233 1234 1235 1236 1237 123e 1239 1240 1241 1242 1243 1244 1245 1246 1247 124e 1249 1250 1251 1252 1251 1254 1255 1256 1257 1254 1259 1260 1261 1262 1263 1264 1265 1266 1267 126e 1269 1270 1271 1272 1273 1274 1215 1216 2277 1270 1279 1280 1201 1282 1203 1204 1205 1266 1207 1202 1209 1290 1291 1292 1291 1294 1299 , 4 vvvvvy ,,I,.34,11111111111111 VVVVVVYVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVvVVVvVVV8VVVVvVvVvVVVVVVVVVVV8VeVVVVVVV808880VVVVVVvVV8VVGGGPPGGPfTr7fTF17767 d VVVVVVVVVVVVVVVVVVYVVVV8VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVeVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVvVVVVvVVVVVVCF6GGG8UntufF016788 VVVVVVVVV8VVVVVVVVVVVVVVVVVYVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV8VVVVVVVVVVVVVGCG6GGWOWUBGIBilleOFF vVVvvvvvvvvvvvvVyvvvVvvVvvvvyvvvvvvvvvvvvvvvvvvvvvvvvvVyvvvvvymovvvvvvV00vvvvvvvvvvvvvvvvvvvvvvvvvVGG6GG66wtnuttfurenre vvvvvvVvvvvvvvVvirri/VvvyvvyvvvvvvvvvvvvvvvvvvvvvvvVvvvvvvvvvvvvvvVvvvvvvyvvvVvvvvvvvvvvVvvvvvvvvevvvvvcGGG6ppauG9AmIFFEL VVVVVVVVVvVVVVVVVVVVVVVV8v0VVVVVVYVVVVVVVVVVVVVVVVVVVVVYVVVVVVVVvVVVV0VVVVVVvVVVVVVVVVVVVVvVVVVvVVVVGGG6GGGPIWPFAAAH0780 VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVYVVVVVVVVVVVVvVVVv8VVV8VVvvVVVvVVVVVVVV8VVVvVVVVVVvvCGGGGGGGGGITFFIF10006G VVVVVVVVvyVVVVVVVVVVVVVV880VVVIIVVVVVVVVVVv8VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVYVVVVVVVVVVVVVVVVVVVCGCGGGGGGGICCOOWHOOCW 81/VVVvVVVvVVVVVVVVVVVVVVVVVVVV8VVVVeVVVVVVVVVVVW8V8V888888VVVVVVVVV8VVVVvvVVVVVVVVVVVVVVVvVVVVVVVVGGGGGGCGGGCCCOOGG00001 VVVVVVVVVvvVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVvyVVVYVVVVVVVVVVVVVVVVVVVVVVVVvvVVVvVVVVVVVVV8vVvVVvVVVV6GGGGCGGGPCCCOC8GLOOL7 VVVVVvV8VVVVVVVVVVVVVVVVVVyVVVVVVVVVVVVVVVVVVVVVVVVVVVVVyVVvvVVvVVVVVVVVyvVVVVVVVYV8VVVVV8VVVVvV(0,GGGGGGPPCGCMCCCV7JG VVVVVVVVyvVVVV/VVVVVVVVVV8vVVVVVVVVVVV8VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVG6GGC66PrwwItCwC7CCPLJG VVVVVVVV8vVVVVVVVV8VVVVVVVVVIOVVVVVV8VvVVVVVVVVVV8VVVVVVVVVVVVVVVV8VVVVVVyvVVVVVVVVVVVVVVvyvVvv8VG6GCGGGG7GKOCCGCTFTU176 VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVyVVVVVVVVYVVVVvVVVvVVVVVVVVV0VV8VVVVVVVVVVVVVVVV8VVVTUO888PFGGGWCPCWOOCCF8.1.JJ V8VVVV08VVVVVVVVVVVVVVVVeV8VVVVVVV8VVV8VVVVVVVVVVVV,VVVYVVVVVVV,VV0VVV8VvVVVVVVVVVV8VV88VVyVVVVIUCGCCG00c6FICCCCCITIFILA VVVVVVVVvvyyv8VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV8VVVVVVVVVVVVVVVVVVVvVVVVVVVVVVVVVVyvvVVVelfCCCGGGGGGFFDOCCIFTF1JJA vvvvvviovvvvyvvvvvvvvvvvvvvvvy00vvvvvvvvvvvvvvvuvvvvvvvvvvvvvvvvvvvvvvvvvvoryvvyvvvvvvvvvvvvvvvvvuoccGCGCGrwFwmC1FFUGLA VVVVVVVVVVVVVVVVVVVVVVV8VVVVVVVVVVVVVVVVVVV8VVVVVVVVVVVVVVVVYVVVVVVVVV8VV8VVVVVVVVVVVVVVVVVVvVVVVV6GGGG6600FOGPOLOFFAJAF VVVVVV8VVV0VVVVVVVVVVVVVVVVVVVV8VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV8vVy88VVyVVVVVV8VVVVVVVV8V,VOMPPPP0GGGEMPHCFOOOJGC vvvvVvV0vvvvvvvvvvvVvVvVvvvvvvvVvvvvVvvvvvyvVVvvvvVvvvVvvvvvvVVvvvvvvvvvvvvVvv0vVvvvvVvvvvvvvvv0vou9CCGGGpis6GGGwcpCorApt VVVVVVVVVVVVVVVVVVVVVVVVVVVVVV0VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVIO8GGPPGG6G0mCC767140 vvvvvvVvvvyvvvvvvvvvvvvvvVvVvVvvvvvVvvvVvVVvvvVVVvVvvVVvvVvvvVvvvvVvvVVvvvvvvvVvvvvvvvvvv00vvvvvvvuLtaGGuGGGGGGowwwejnow VVVVVV8VvvVVVVvVVVVVVVVVVVVVvVvVVV0vVVVYVVVVVVVvVVVVv0VVVVVVVVVVVVVVVVVVV8VVVVVVVV8VVVVVVVVVVVVVVVVOUCCGGGGGCHCOPPPGG1F7 VVVVVVVVVVVVVVVVVVVVVVV8IVVVVVVVVVVVVVVVVVVyVVVVvVVVVVVVvVVVV8VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVIIUGGCG6GGWGGGG6GGGPJ VVVVVVVVvVVVVVVVVVyVVVVVVVVVVVVVVVVVVVVV8VVVVVVVVYVVVVVVVVVvVVVIVVVVVVVVVvVVVVVVVVVVVVVVVVVVVVVVVVVVVU6GGP66GG8G6GGGV166 VVVVVVVV8VVVVVVVVVVVVVVVVV8VVVVVVVIVVVVVVVVVVVVVVYVVVVVVVVVVVVVVVVVVVV8VVVVVVVVVVYVVVVVVVVVV8VV,VVVVVICPGINGG6GGGGGGGC.GP VVVVVVVVVVVVVV8VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVvVVVVVVVVVVVVVV8VVVVVVvVVVVVVVV0VVV8WVVVVVVVVVUCGCGOVGG6666GGGP VVVVVVVVVVVVVVVWVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVvVVIWP0MGGGGG6GPP888 VVVVVVI7VV8VVVVVVVVVVVVVVVVVVVVVVVVV8VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV8VVVVVUUPGGIGGGGGG,G6GPPPP VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV8VVVVVVVVVVVVVVVVVOVVVVVVVVVVVVVVVVVVVVvVVVVVUUGGGCWGGGGGGGGP8PF VV88VV0VVVVVYVVVVVVVVVVVVVV8VVVVVVV8VVVVVVVVVVVVvVVVVVVVVV8VVyVVVV888808VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVGGGGGGGGGGGGGPPPPP VVVVVV88VVvVVVVVVVVVVVVVVVVVVVVvVvVVVVVVVVVVVVVVV8VVV88VVVVVV8VVVVVVVVVVV8VVVVVVVVVVVVVV8V0vVVV8VVVVVVGGIAGGWNGGGG8P888 VVVVVYVVyvvVVVVVVVVVVVV8VVVyVVVVVVVVVVVVVVVVVVVVV8VVV8VVVVVVVVVVVVVVVVVVV8VVVVVVVV8VVVVVVV8VVV0eVVVVVVGGCGCCGGGGGIAJGGP8 VvVVVVVVVVvVVVVVVVVVVVV8Vvvv8V8VVVVVVVVVVVVVvVVVVVVVVVVVVVVVVVVVVveyVVVVVVVVVVVVVVVVVVVVVVVvVVVVVVVVeGGC6CGGGGGGGGC6J8PP VVYVVVVVVVVVVVVVVVVVVVVYVVV8VVVVVVVVVVVVVYVvyVVV888888VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVvvVVVVVV8VVGGGC6G6GPPGGGGGITIJ 76 VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVYVVVVVVVVVVVVVVVVVVVVVVVVVVV8VVVVVVVVVVV8VV8vVVVVVVV8V8VVVVVVVVVVeGGGfiGGGG6GW6G1IGGGGII VVVVVVVVVVVVVVVVVVVV8VVVVVVyVVVVVVVVVV8VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV8VVVVVVVVVVVVVVVVVVVVvVVVVVVVGGGGGG1WPGrP0PGGGGGJ VVV8VVVV800VVVVVVVVVVVVVVVVVVVVV8V1/8888VvVVVVVVVVVVVV8VVVVVVVVVVVVVVVVV8VVVIVVVVVVVV8VVVVVvvVVVVVGGGGGGGGCG6810,811,81GGII yvvYVvvvvvyvVvvvVvVvvvvvvvvvvvv0VvyvvvvVvvvvVvVVvvVvvvVVvvvvvvvvvvVVVVvvVvvvvvvvvvvvvvvvVvvvvvv0GG6GGGGGcwewpwtvPINIIP1H VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV8VVVVVVVVVVVVVVVVVVVVyVVVVVVVV8VVVVVVVVVVVVYVVV8VVVVVVV6GGGGGCGGWGP8P8PGLIOSSIII VVVVVVV0VVvVVVvVVVVVVVVVyvv8VVVVV8VVVVVVVYVVVVVYVVVVV0VVVVVVVVVVVvVVVVVVVVVVVVVVVVVVVVVellvvvvV8wCGGGC18466PGGGP1.6j1P1111.1 IvivvvvvvvvvwvvvvvvvvviNvVvvvvvvvvvvvVvviromovvvvvvVvvvvvV0vVvvvvvvvvvvvVyvvvvvvvvvvvyvvvVVvvvvvroc6GGGCGGPrAGG6601331.111,1 VVvvVvVvvvvvvyVVVvvvvvvvvvw4vvvvvvvvvvvvvvvvvVVvvvvvvvVVVvvvvvvvvvvvvvVvvvvvvvvvvvvvvvvvvvvvVvu6nGGGPGGGGGGGGCGGJftGG6Gt vvvvVvVVvyvvvyvvvvvvvvyvVm/vvvvVvvvVvvvvvvvvvvvvvV0vVV0vvVVvvvvvvivvvv0v0vvvvvvvvvvvvvvvvvvvvvouGGGGGG6GGGGGGGCA3GGGGG vVVvvvvVvvvvvvvVvVvvvvvvvvyvVvvyvVvVvvvvVvVVvvvvvvvVvVvVvvV0vvvvvvVvvvvvvvvvvvvvvvvvVvvvvvvvVvivv6GCCwGSGGGGGGGG,GGGGGGG VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVv0V0VV8VV8VVVVVVVVVVVV8VVV8VVVVVVVVVVVVVVVVIOVvVVVVVVVVV8VVVvVvVVVVGGG8GGCGGGGGGGAILGGGG lovvyvvvvvvvvvvvvvvvvvvvvvvvvvvvvyvvvvvvvvyvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvawcGs6GGGGGGGiturGA. 11_I VVVVVV8VVVYVVYVVV8VVVVVVVVVVVVVVVVVVVVVVVVVv,VVVVVVVVVVV881,880/88vVVVVVeVVVVVVVVVVV88VVVVVVVVVevVe6GGPGGCG6GGGCGGGGGCGJI 1 166 VVVVVVVVvvvVVVIIVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV808VVVVVVVVeyVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV8VC666G6CGG6GG6G6GG:011166 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