LaserBiblio.pdf
© 2013, Timothy G. Gregoire, Yale University
Last revised: December 2013
LASER BIBLIOGRAPHY
1995 - Present
(147 ENTRIES)
1. Misc 1. Statistical Analysis of North-East Victoria pilot of the Continental Forest
Monitoring framework, conducted by the Centre of Statistical and Survey methodology
(University of Wollongong) for the Bureau of Rural Sciences June – September 2005.
2. Misc 2. Taylor and Francis Group (2004) Scandinavian journal of Forest Research 19(6):
480-582.
3. Misc 3. Lu, Y. (2010) “Estimating Above-ground Biomass using the Airborne Laser
Scanner Data in Young Forest”. 1-20.
4. Misc 4. Notes on Parker and Evans (2007) “Stratified Light detection and Ranging
Double-sampling forest inventory”. Southern Journal of Applied Forestry 31(2): 66(notes by J. Flewelling August 2008).
5. Pacific Northwest Research Station, Science Update. United States Department of
Agriculture, December 2005.
6. Campbell, J.B. and Browder, J.O. (1995) “Field data collection for remote sensing
analysis: SPOT data, Rondonia, Brazil”. International journal for remote sensing
16(2):333-350.
7. Næsset, E. (1997) “Estimating Timber Volume of Forest Stands Using Airborne Laser
Scanner Data”. Remote sensing of environment. 61:246-253.
8. Nelson, R. (1997) “Modeling Forest canopy heights: The effects of canopy shape”.
Remote Sensing of Environment 60: 327 – 334.
9. Magnussen, S. and Boudewyn, P. (1998) “Derivations of stand heights from airborne
laser scanner data with canopy-based quantile estimators”. Canadian Journal of Forest
Research 28:1016-1031.
10. Magnussen, S., Eggermont,P. and Vincent N. L. (1999) “Recovering Tree Heights from
Airborne Laser Scanner Data”. Society of American Foresters 45(3):407-422.
11. Magnussen, S., Gougeon, F., Leckie, D. and Wulder, M. (1999) “Predicting tree heights
from a combination of LIDAR canopy heights and digital stem counts”. Proceedings of
the IUFRO Conference on Remote Sensing and Monitoring 01/1999.
12. Slamaker, D., Schultz, H., Hanson., Riseman, E. and Holmes, C., P (1999) “Calculating
Forest Biomass with small Format Aerial Photography, Videography and a Profiling
Laser”. Journal?
LaserBiblio.pdf
© 2013, Timothy G. Gregoire, Yale University
13. Wulder, M., Magnussen, S., Harding, D., Boudewyn, P. and Seemann, D. (2000)
“Stability of surface LIDAR height estimates on a point and polygon basis”. Remote
Sensing and Spatial Data Integration: Measuring, Monitoring and Modeling, 22nd
Symposium of the Canadian Remote Sensing Society, Victoria, British Columbia, August
20th to 25th, 2000.
14. Funahashi, M., Setojima, M., Akamatsu, Y. and Imai, Y. (2001) “Investigation of
Measuring Accuracy of Forest Area by Means of Airborne Laser Scanner”. International
Archives of Photogrammetry and Remote Sensing. 34:139-146.
15. Gong, P., Sheng, Y. and Biging, G.S. (2002) “3D Model-Based Tree Measurement from
High-Resolution Aerial Imagery”. Photogrammetric Engineering and Remote Sensing.
68(11): 1203-1212.
16. Magnussen, S., Wulder, M. and Seemann, D. (2002) “Stand Canopy Closure Estimated
by Line Sampling”. Natural Resources Canada, Canadian forest Service,Pacific Forestry
Center 1-12
17. Mass, H. (2002) “Methods for Measuring Height and Planimetry Discrepancies in
Airborne Laserscanner Data”. Photogrammetric Engineering and Remote Sensing. 68(9):
933-940.
18. Næsset, E. (2002) “Predicting forest stand characteristics with airborne scanning laser
using a practical two-stage procedure and field data”. Remote Sensing of Environment.
80:88-99.
19. Persson, A., Holmgren, J. and Soderman, U. (2002) “Detecting and Measuring Individual
Trees Using an Airborne Laser Scanner”. Photogrammetric Engineering and Remote
Sensing. 68(9): 925-932.
20. Sorin, C., Popescu, Randolph, H., Wynne, Ross, F. and Nelson (2002). “Estimating plotlevel tree heights with lidar: local filtering with a canopy-height based variable window
size”. Computers and Electronics in Agriculture 37:71-95.
21. Hyyppä, J. and team (2002) “High-Scan: The First European-wide Attempt to Derive
Single-tree Information from Laser scanner Data”. Photogrammetric Journal of Finland
19: 58 -68.
22. Nelson, R., Parker, G. and Hom, M. (2003) “A Portable Airborne Laser System for
Forest Inventory”. Photogrammetric Engineering and Remote sensing. 69(3): 267-273.
23. Sorin, C., Popescu, Randolph, H. Wynne, Nelson and Ross,F. (2003) “Measuring
individual tree crown diameter with lidar and assessing its influence on estimating forest
volume and biomass”. Canadian Journal Remote Sensing. 29(5): 564-577.
LaserBiblio.pdf
© 2013, Timothy G. Gregoire, Yale University
24. Chave, J., Condit, R., Aguilar, S., Hernandez, A., Lao, S. and Perez, R. (2004) “Error
propagation and scaling for tropical forest biomass estimates”. Philosophical
Transactions of the Royal Society. DOI 10.1098/rstb.2003.1425.
25. Eid, T., Gobakken, T. & Næsset, E. (2004) “Comparing stand inventories for large areas
based on photo interpretation and laser scanning by means of cost-plus-loss analyses”.
Scandinavian Journal of Forest Research 19: 512-523.
26. Gobakken, T. and Næsset, E. (2004) “Estimation of Diameter and Basal Area
Distributions in Coniferous Forest by Means of Airborne Laser Scanner Data”.
Scandinavian Journal of Forest Research. 19:529-542.
27. Lim, K.S. and Treitz, M. (2004) “Estimation of Above ground Forest Biomass from
Airborne Discrete Return Laser Scanner Data Using Canopy-based Quantile Estimators”.
Scandinavian Journal of Forest Research. 19:558-570.
28. Magnussen, S. and Wulder, M.A. (2004) “Clustering of Point patterns Derived from
Lindar Canopy Height”. International archives of Photogrammetry, Remote Sensing and
Spatial Information Sciences. 36:183-196.
29. Maltamo, M., Eerikäinen, K., Pitkänen, J., Hyyppä, J. and Vehmas, M. (2004)
“Estimation of timber volume and stem density based on scanning laser altimetry and
expected tree size distribution functions”. Remote Sensing of Environment. 90:319-330.
30. Maltamo, M., Mustonen, K., Hyyppä, J., Pitkänen, J. and Yu, X. (2004) “The accuracy of
estimating individual tree variables with airborne laser scanning in a boreal nature
reserve”. Canadian Journal of Forest Research. 34:1791-1801.
31. Næsset, E. (2004) “Effects of different flying altitudes on biophysical stand properties
estimated from canopy height and density measured with a small-footprint airborne
scanning laser”. Remote Sensing of Environment 91:243-255.
32. Næsset, E. (2004) “Practical Large-scale Forest Stand Inventory Using a Small footprint
Airborne Scanning Laser”. Scandinavian Journal of Forest Research. 19:164-179.
33. Næsset, E., Gobakken, T., Holmgren, J., Hyyppä, H., Hyypää, J., Maltamo, M., Nilsson,
M., Olsson, H., Persson, Å. & Söderman, U. (2004) “Laser scanning of forest resources:
the Nordic experience”. Scandinavian Journal of Forest Research 19: 482-499.
34. Nelson, R., Short, A. and Valenti, M. (2004) “Measuring Biomass and Carbon in
Delaware using an Airborne Profiling LIDAR”. Scandinavian Journal of Forest
Research 19: 500 – 511.
35. Parker, R.C. and Evans, D.L. (2004) “An Application of LiDAR in a double- sample
forest inventory”. Western Journal of Applied Forestry 19 (2): 95 – 101.
LaserBiblio.pdf
© 2013, Timothy G. Gregoire, Yale University
36. Parker, R.C. and Glass, P.A. (2004) “High- versus Low Density LiDAR in a Doublesample forest inventory”. Southern Journal of Applied Forestry 28(4): 205 – 210.
37. Popescu, S.C. and Wynne, R.H. (2004) “Seeing the trees in the forest: Using Lidar and
multispectral data fusion with local filtering and variable window size for estimating tree
height”. Photogrammetric Engineering & Remote Sensing 70(5): 589 – 604.
38. Popescu, S.C., Wynne, R.H. and Scrivani, J.A. (2004) “Fusion of small- footprint Lidar
and Multispectral data to estimate Plot-level Volume and Biomass in deciduous and pine
forests in Virginia, USA”. Forest Science 50(4): 551- 565.
39. Yu, X., Hyyppa, J. and Maltamo, M. (2004) “Effects of light attitude on three height
estimation using airborne laser scanning”. Proc. ISPRS WG VIII/2 “Laser-scanners for
forestry and landscape assessment”, Vol. XXXVI, Part 8/W2, 3–6 October 2004,
Freiburg, Germany.
40. Yu, X., Hyyppa, J., Kaartinen, H. and Maltamo, M. (2004) “Automatic detection of
harvested trees and determination of forest growth using airborne laser scanning”.
Remote Sensing of Environment 90: 451-462.
41. Gobakken, T. and Næsset, E. (2005) “Weibull and percentile models for LIDAR-based
estimation of basal area distribution”. Scandinavian Journal of Forest Research. 20:490502.
42. Johnston, A. K., Lefsky, M. A. and Parker, G.G. (2005) “Remote Sensing of forest
canopy structure using Landsat TM and Laser Altimetry data”. Remote Sensing of Forest
Canopy Structure: 1-4.
43. Lefsky, M.A., Hudak, A.T., Cohen, W.B. and Acker, S.A. (2005) “Patterns of covariance
between forest stand and canopy structure in the Pacific Northwest”. Remote Sensing of
Environment 95: 517 – 531.
44. Lefsky, M.A., Harding, D.J., Keller, M., Cohen, W.B., Carabajal, C.C., Espirito-Santo,
F.D. B., Hunter, M.O. and Oliveira Jr, R. (2005) “Estimates of forest canopy height and
aboveground biomass using ICESat”. Geophysical Research Letters 32: 1-4.
45. Maltamo, M., Packalen, P., Yu, X., Eerikainen, K., Hyyppa, J. and Pitkanen, J. (2005)
“Identifying and quantifying structural characteristics of heterogeneous boreal forests
using laser scanner data”. Forest Ecology and Management 216: 41-50.
46. Næsset, E. (2005) “Assessing sensor effects and effects of leaf-off and leaf-on canopy
conditions on biophysical stand properties derived from small-footprint airborne laser
data”. Remote Sensing of Environment 98: 356- 370.
LaserBiblio.pdf
© 2013, Timothy G. Gregoire, Yale University
47. Næsset, E. and Gobakken, T. (2005) “Estimating forest growth using canopy metrics
derived from airborne laser scanner data”. Remote Sensing of Environment 96: 453 - 465.
48. Næsset, E., Bollandsas, O.M. and Gobakken, T. (2005) “Comparing regression methods
in estimation of biophysical properties of forest stands from two different inventories
using laser scanner data”. Remote Sensing of Environment 94: 541- 553.
49. Parker, R.C. and Mitchel, A.L. (2005) “Smoothed versus Unsmoothed LiDAR in a
double-sample forest inventory”. Southern Journal of Applied Forestry 29(1): 40 – 47.
50. Aardt, J.A.N., Wynne, R.H. and Oderwald, R.G. (2006) “Forest volume and Biomass
estimation using small-footprint LiDAR-distributional parameters on a per-segment
basis”. Forest Science 52(6): 636 – 649.
51. Evans, D.L., Roberts, S.D. and Parker, R.C. (2005) “LiDAR – A new tool for forest
management”. The Forestry Chronicle 82(2): 211- 218.
52. Gobakken, T., Næsset, E. and Nelson, R. (2006) “Developing regional forest inventory
procedures based on scanning LiDAR”. Silvilaser November 7-10, 2006 Matsuyama,
Ehime, Japan.
53. Makinen, A., Korpela, Tokola, T. and Kangas, A. (2006) “Effects of imaging conditions
on crown diameter measurements from high-resolution aerial images”. Canadian Journal
of Research 36: 1206 – 1217.
54. Maltamo, M., Eerikainen, K., Packalen, P. and Hyyppa, J. (2006) “Estimation of stem
volume using laser scanning-based canopy height metrics”. Forestry 79(2): 217 – 229.
55. Maltamo, M., Korhonen,, K.T., Packalen, P., Mehtatalo, L. and Suvanto, A. (2006)
“Testing the usability of truncated angle count sample plots as ground truth in airborne
laser scanning based forest inventories”. Forestry 80(1): 73- 81.
56. Maltamo, M., Hyyppa, J. and Malinen, J. (2006) “A comparative study of the use of laser
scanner data and field measurements in the prediction of crown height in boreal forests”.
Scandinavian Journal of Forest Research 21: 231-238.
57. Maltamo, M., Malinen, J., Packalen, A., Suvanto, A. and Kangas, J. (2006)
“Nonparametric estimation of stem volume using airborne laser scanning, aerial
photography and stand-register data”. Canadian Journal of Forest Research 36: 426 –
436.
58. Packalén, P. and Maltamo, M. (2006) “Predicting the Plot Volume by Tree Species Using
Airborne Laser Scanning and Aerial Photographs”. Forest Science 52(6):611-622.
59. Pekkarinen, A. and Holopainen, M. (2006) “Segmentation” Forest Inventory –
Methodology and Applications 253-269.
LaserBiblio.pdf
© 2013, Timothy G. Gregoire, Yale University
60. Solberg, S., Næsset, E., Hanssen, K.H. and Christiansen, E. (2006) “Mapping defoliation
during a severe insect attack on Scots pine using airborne laser scanning”. Remote
Sensing of Environment 102:364-376.
61. Solberg, S., Næsset, E. and Bollandsas, O.M. (2006) “Single Tree Segmentation Using
Airborne Laser Scanner Data in a Structurally Heterogeneous Spruce Forest”.
Photogrammetric Engineering and Remote Sensing 72(12): 1369-1372.
62. Andersen, H.E. and Breidenbach, J. (2007) “Statistical Properties of Mean Stand Biomass
Estimators in a LIDAR-Based Double Sampling Forest Survey Design”. In Proceedings
of the ISPRS Workshop Laser Scanning 2007 and SilviLaser 2007, Espoo Finland:
IAPRS, p. 8–13
63. Chen, Q., Gong, P., Baldocchi, D. and Tian, Y.Q. (2007) “Estimating Basal Area and
Stem Volume for Individual Trees from Lidar Data”. Photogrammetric Engineering and
Remote Sensing. 73(12): 1355-1365.
64. Ene, L., Næsset, E. & Gobakken, T., (2007) “Simulating sampling efficiency in airborne
laser scanning based forest inventory”. In: Rönnholm, P., Hyyppä, H., Hyyppä, J. (Eds.),
ISPRS Workshop: Laser Scanning and Silvilaser. Finnish Geodetic Institute and TKK,
Espoo, Finland, p. 5.
65. Gobakken, T. & Næsset, E., (2007) “Assessing effects of laser point density on
biophysical stand properties derived from airborne laser scanner data in mature forest”.
In: Rönnholm, P., Hyyppä, H., Hyyppä, J. (Eds.), ISPRS Workshop: Laser Scanning and
Silvilaser. Finnish Geodetic Institute and TKK, Espoo, Finland, p. 6.
66. Hopkinson, C., Popescu, S., Flood, M. and Maher, R. (2007) “A Survey on the Need for
Airborne Lidar Training”. Photogrammetric Engineering and Remote Sensing. 73(5):
537-546.
67. Kwak, D., Lee, W., Lee, J., Biging, G.S. and Gong, P. (2007) “Detection of individual
trees and estimation of tree height using LiDAR data”. Canadian Journal of Forest
Research 12:425-434.
68. Magnusson, M., Hohan, E.S., Fransson and Holmgren, J. (2007) “Effects on Estimation
Accuracy of Forest Variables Using Different Pulse Density of Laser Data”. Society of
American Foresters 53(6):619-626.
69. Peuhkurinen, J., Maltamo, M., Malinen, J., Pitkänen, J. and Packalén, P. (2007)
“Preharvest Measurement of Marked Stands Using Airborne Laser Scanning”. Society of
American Foresters 53(6):653-661.
70. Marcell, W., Eriksson, M. and Popescu, S. (2007) “Systematic Sampling of Scanning
Lidar Swaths”. Department of Ecosystem Science and Management and the Spatial
Sciences laboratory, Texas A&M University, College Station, TX. 1-10.
LaserBiblio.pdf
© 2013, Timothy G. Gregoire, Yale University
71. Ronald, E., McRoberts, Erkki, O. and Tomppo (2007) “Remote sensing support for
national forest inventories”. Remote Sensing of Environment 110:412-419.
72. Næsset, E. (2007) “Airborne laser scanning as a method in operational forest inventory
Status of accuracy assessments accomplished in Scandinavia”. Scandinavian Journal of
Forest Research. 22: 433-442.
73. Næsset, E. and Nelson, R. (2007) “Using airborne laser scanning to monitor tree
migration in the boreal – alpine transition zone”. Remote Sensing of Environment.
110:357-369.
74. Packalén, P and Maltamo, M. (2007) “The k-MSN method for the prediction of speciesspecific stand attributes using airborne laser scanning and aerial photographs”. Remote
Sensing of Environment. (2007), doi:10.1016/j.rse.2007.01.005
75. Parker, R.C. and Evans, D.L. (2007) “Stratified Light Detection and Ranging DoubleSample Forest Inventory”. Southern Journal of Applied Forestry 31(2):66-72.
76. Parker, R.C. and Evans, D.L. (2007) “LiDAR forest Inventory with Single-tree, Doubleand Single-Phase Procedures”. Department of Forestry, Forest and Wildlife Research
Center, Mississippi State University, Mississippi State, MS 39762.
77. Villikka, M., Maltamo, M., Packalén, P., Vehmas, M. and Hyyppä, J. (2007)
“Alternatives for predicting tree-level stem volume of Norway spruce using airborne
laser scanner data”. The Photogrammetric Journal of Finland, 20(2):33-42
78. Anderson, J.E., Plourde, L.C., Martin, M.E., Braswell, B.H., Smith, M., Dubayah, R.O.,
Hofton, M.A. and Blair, J.B. (2008) “Integrating waveform lidar with hyperspectral
imagery for inventory of a northern temperate forest”. Remote Sensing of Environment
112:1856-1870.
79. Bollandsås, O.M., Buongiorno, J., & Gobakken, T. (2008) “Predicting the growth of
stands of trees of mixed species and size: A matrix model for Norway”. Scandinavian
Journal of Forest Research, 23, 167-178.
80. Bourdreau, J., Nelson, R.F., Margolis, H.A., Beaudoin, A., Guindon, L. and Kimes, D.S.
(2008) “Regional aboveground forest biomass using airborne and spaceborne LIDAR in
Québec”. Remote Sensing of Environment 112:3876-3890.
81. Corona, P. and Fattorini, L. (2008) “Area-based lidar-assisted estimation of forest
standing volume”. Canadian Journal of Forest Research 38:2911-2916.
82. Gatziolis, D. and Andersen, H. (2008) “A guide to LIDAR Data Acquisition and
Processing for the Forests of the Pacific Northwest”. United States Department of
Agriculture, Forest Service, Pacific Northwest Research Station, General Technical
report PNW-GTR-768: 1-32.
LaserBiblio.pdf
© 2013, Timothy G. Gregoire, Yale University
83. Gobakken, T. (2008) “Developing regional inventory procedures based on scanning
LIDAR”, Progress Report, Iceland.
84. Gobakken, T. & Næsset, E. (2008) “Assessing effects of laser point density, ground
sampling intensity, and field sample plot size on biophysical stand properties derived
from airborne laser scanner data”. Canadian Journal of Forest Research, 38, 1095-1109.
85. Mustonen, J., Packalen, P. and Kangas, A. (2008) “Automatic segmentation of forest
stands using a canopy height model and aerial photography.” Scandinavian journal of
Forest Research. 23:534-545.
86. Næsset, E., & Gobakken, T. (2008) “Estimation of above- and below-ground biomass
across regions of the boreal forest zone using airborne laser”. Remote Sensing of Environment, 112, 3079-3090.
87. Nelson, R., Næsset, E., Gobakken, T., Ståhl, G. & Gregoire, T. (2008) “Regional forest
inventory using an airborne profiling LiDAR”. Journal of Forest Planning 13:287-294.
88. Pflugmacher, D., Cohen, W., Kennedy, R. and Lefsky, M. (2008) “Regional
Applicability of Forest Height and Aboveground Biomass Models for the Geoscience
Laser Altimeter System”. Forest Science 54(6): 647-657.
89. Popescu, S.C. and Zhao, K. (2008) “A voxel-based lidar method for estimating crown
base height for deciduous and pine trees”. Remote Sensing of Environment 112:767-781.
90. Yu, X., Hyyppa, J., Kaartinen, H., Maltamo, M. and Hyyppa, H. (2008) “Obtaining
plotwise mean height and volume growth in boreal forests using multi-temporal laser
surveys and various change detection techniques”. International Journal of Remote
Sensing 29(5): 1367-1386.
91. Gobakken, T., & Næsset, E. (2009) “Assessing effects of positioning errors and sample
plot size on biophysical stand properties derived from airborne Laser scanner data”.
Canadian Journal of Forest Research, 39: 1036–1052.
92. Harsch, M.A., Hulme, P.E., McGlone, M.S. and Duncan, R.P. (2009) “Are treelines
advancing? A global meta-analysis of treeline response to climate warming”. Ecology
Letters 12:1-10.
93. Hawbaker, T.J., Keuler, N., Lesak, A.A., Gobakken, T., Contrucci, K., & Radeloff, V.C.
(2009) “Improved estimates of forest vegetation structure and biomass with a LiDARoptimized sampling design”. Journal of Geophysical Research 114:1-11.
94. Magnussen, S., Næsset, E. and Gobakken, T. (2009) “Reliability of LIDAR derived
predictors of forest inventory attributes: A case study with Norway spruce”. Remote
Sensing of Environment doi:10.1016/j.rse.2009.11.007.
LaserBiblio.pdf
© 2013, Timothy G. Gregoire, Yale University
95. Mehtatalo, L. and Nyblom, J. (2009) “Estimation Forest Attributes Using Observations of
Canopy Height: A Model-Based Approach”. Forest Science 55(5):411-422.
96. Næsset, E., Gobakken, T. and Nelsom, R. (2009) “Sampling and Mapping Forest Volume
and Biomass Using Airborne LIDARs”. Proceedings of the Eighth Annual Forest
inventory and Analysis Symposium.
97. Maltamo, M., Næsset, E., Bollandsås, O. M., Gobakken, T. & Packalén, P. (2009) “Nonparametric prediction of diameter distributions by using airborne laser scanner data”.
Scandinavian Journal of Forest Research, 24: 541 – 553.
98. Vauhkonen, J., Tokola, T., Packalen,P. And Maltamo, M. (2009) “Identification of
Scandinavian Commercial Species of Individual Trees from Airborne Laser Scanning
Data Using Alpha Shape Metrics”. Forest Science 55(1):37-47.
99. Woodall, C.W., Oswalt, C.M., Westfall, J.A., Perry, C.H., Nelson, M.D. and Finley, A.O.
(2009) “An indicator of tree migration in forests of the eastern United States”. Forest
Ecology and Management 257:1434-1444.
100.
Wulder, M.A., White, J.C., Orka, H.O., Coops, N.C., Hilker, T., Bater, C.W.,
Nelson, R.F. and Falkowski, M.J. (2009) “Characterizing Forest Ecosystems via Lidar
Sampling: Applications across Multiple Scales”.
101.
Zhao, K., Popescu, S. and Nelson, R. (2009) “Lidar remote sensing of forest
biomass: A scale-invariant estimation approach using airborne lasers”. Remote Sensing of
Environment 113:182-196.
102.
Nelson, R., Boudreau, J., Gregoire, T. G., Margolis, H., Næsset, E., Gobakken, T.,
& Ståhl, G. (2009) “Estimating Quebec provincial forest resources using ICESat/GLAS”.
Canadian Journal of Forest Research, 39, 862-881.
103.
Breidenbach, J., Næsset, E., Lien, V., Gobakken, T. & Solberg, S. (2010)
“Prediction of species specific forest inventory attributes using a nonparametric semiindividual tree crown approach based on fused airborne laser scanning and multispectral
data”. Remote Sensing of Environment, 114: 911-924.
104.
Gatziolis, D., Fried, J.S. and Monleon, V.S. (2010) “Challenges to Estimating
Tree Height via LiDAR in Closed-Canopy Forest: A Parable from Western Oregon”.
Forest Science 56(2):139-155.
105.
Junttila, V., Kauranne, T. and Leppanen, V. (2010) “Estimation of Forest Stand
Parameters from Airborne Laser Scanning Using Calibrated Plot Databases”. Forest
Science 56(3):257-270.
Korpela, I., Orka, H.O., Maltamo, M., Tokola, T. and Hyyppa, J. (2010) “Tree
106.
Species Classification Using Airborne LiDAR – Effects of Stand and Tree Parameters,
LaserBiblio.pdf
© 2013, Timothy G. Gregoire, Yale University
Downsizing of Training Set, Intensity Normalization, and Sensor Type”. Silva Fennica
44(2):319-339.
107.
Magnussen, S., Næsset, T. & Gobakken, T. (2010) “Reliability of LiDAR derived
predictors of forest inventory attributes: A case study with Norway spruce”. Remote
Sensing of Environment, 114(4): 700-712. doi:10.1016/j.rse.2009.11.007
108.
Maltamo, M., Bollandsås, O.M., Vauhkonen, J., Breidenbach, J., Gobakken, T.,
and Næsset, E. (2010) “Comparing different methods for prediction of mean crown
height in Norway spruce stands using airborne laser scanner data”. Forestry: 257-268.
109.
Pesonen, A., Maltamo, M. and Kangas, A. (2010) “The comparison of airborne
laser scanning-based probability layers as auxiliary information for assessing coarse
woody debris”. International Journal of Remote Sensing 31(5): 1245-1259.
110.
Raty, M. and Kangas, A. (2010) “Segmentation of Model Localization Sub-areas
by Getis Statistics”. Silva Fennica 44(2): 303-317.
111.
Salas, C., Ene, L., Gregoire, T.G., Næsset, E., and Gobakken, T. (2010)
“Modelling tree diameter from airborne laser scanning derived variables: A comparison
of spatial statistical models”. Remote Sensing of Environment, 114: 1277-1285.
112.
Suvanto, A. and Maltamo, M. (2010) “Using Mixed Estimation for Combining
Airborne Laser Scanning Data in Two Different Forest Areas”. Silva Fennica 44(1): 91107.
113.
Bollandsås, O. M., Maltamo, M, Gobakken, T. & Næsset, E. (2011) “Prediction
of timber quality parameters of forest stands by means of small footprint airborne laser
scanner data”. International Journal of Forest Engineering, 22 (1), 14-23.
114.
Gregoire, T., Ståhl, G., Næsset, E., Gobakken, T., Nelson, R., & Holm, S. (2011)
“Model-assisted estimation of biomass in a LiDAR sample survey in Hedmark county,
Norway”. Canadian Journal of Forest Research, 41, 83-95.
115.
Lesak, A.A., Radeloff, V.C., Hawbaker, T.J., Pidgeon, A. M., Gobakken, T. &
Contrucci, K.(2011) “Modeling forest songbird richness using LiDAR-derived forest
structure”. Remote Sensing of Environment, 115, 2823-2835.
116.
Maltamo, M., Bollandsås, O.M., Næsset, E., Gobakken, T., & Packalén, P. (2011)
“Different plot selection strategies for field training data in ALS-assisted forest
inventory”. Forestry, 84, 23-31.
117.
Næsset, E. Gobakken, T., Solberg, S., Gregoire, T.G., Nelson, R., Ståhl, G.,
Weydahl, D. (2011) “Model-assisted regional forest biomass estimation using LiDAR
and InSAR as auxiliary data: A case study from a boreal forest area”. Remote Sensing of
Environment, 115, 3599–3614.
LaserBiblio.pdf
© 2013, Timothy G. Gregoire, Yale University
118.
Ståhl, G., Holm, S.. Gregoire, T., Gobakken, T., Næsset, E. & Nelson, R. (2011)
“Model-based inference for biomass estimation in a LiDAR sample survey in the county
of Hedmark County, Norway”. Canadian Journal of Forest Research, 41, 96-107.
119.
Thieme, N., Bollandsås, O.M., Gobakken, T. & Næsset, E. (2011) “Detection of
small single trees in the forest-tundra ecotone using height values from airborne laser
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120.
Bollandsås, O.M, Risbøl, O., Ene, L.T., Nesbakken, A., Gobakken, T. & Næsset,
E. (2012) “Using airborne small-footprint laser scanner data for detection of cultural
remains in forests: an experimental study of the effects of pulse density and DTM
smoothing”. Journal of Archaeological Science, 39(8): 2733-2743.
121.
Breidenbach, J., Næsset, E., Gobakken, T. (2012) “Improving k-nearest neighbor
predictions in forest inventories by combining high and low density airborne laser
scanning data”. Remote Sensing of Environment, 117, 358-365.
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Ene, L.T., Næsset, E., Gobakken, T., Gregorie, T.G., Ståhl, G., & Nelson, R.
(2012) “Assessing the accuracy of regional LiDAR-based biomass estimation using a
simulation approach”. Remote Sensing of Environment, 123: 579-592.
123.
Ene, L., Næsset, E., & Gobakken, T. (2012) “Single tree detection in
heterogeneous boreal forests using airborne laser scanning and area-based stem number
estimates”. International Journal of Remote Sensing, 33, 5171-5193.
124.
Gobakken, T., Næsset, E., Nelson, R., Bollandsås, O.M., Gregoire, T.G., Ståhl,
G., Holm, S., Ørka, H.O., & Astrup, R. (2012) “Estimating biomass in Hedmark County,
Norway using national forest inventory field plots and airborne laser scanning”. Remote
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125.
Hauglin, M., Gobakken, T., Lien, V., Bollandsås, O.M., & Næsset, E. (2012)
“Estimating potential logging residues in a boreal forest by airborne laser scanning”.
Biomass and Bioenergy, 36, 356-365.
126.
Magnussen, S., Næsset, E., Gobakken, T. & Frazer, G. (2012) “A fine-scale
model for area-based predictions of tree-size-related attributes from LiDAR canopy
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McRoberts, R., Gobakken, T. & Næsset, E. (2012) “Post-stratified estimation of
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Nelson, R., Gobakken, T., Næsset, E., Gregoire, T.G., Ståhl, G., Holm, S., &
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Ørka. H.O., Gobakken, T., Næsset, E., Ene, L.T, & Lien, V. (2012) “Simultaneously acquired airborne laser scanning and multispectral imagery for individual tree
species identification”. Canadian Journal of Remote Sensing, 38(2):125-138.
131.
Pedersen, R. Ø., Bollandsås, O.M., Gobakken, T. & Næsset E. (2012) “Deriving
individual tree competition indices from airborne laser scanning”. Forest Ecology and
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132.
Stumberg, N., Ørka, H.O., Bollandsås, O.M., Gobakken T., and Næsset, E.
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133.
Wulder, M.A., J.C. White, R.F. Nelson, E. Næsset, H.O. Ørka, N.C. Coops, T.
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134.
Bollandsås, O.M., Maltamo, M., Gobakken, T. & Næsset, E. (2013) “Comparing
parametric and non-parametric modeling of diameter distributions on independent data
using airborne laser scanning in a boreal conifer forest”. European Journal of Forest
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135.
Dalponte, M., Ørka, H.O., Ene, L.T., Gobakken, T. & Næsset, E. (2013) “Tree
crown delineation and tree species classification in boreal forests using hyperspectral and
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Dalponte, M., Ørka, H.O., Gobakken, T., Gianelle, D. & Næsset, E. (2013) “Tree
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Ene, L.T., Næsset, E. & Gobakken, T., Gregoire, T.G., Ståhl, G. & Holm, S.
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Ene, L.T., Næsset, E., & Gobakken, T. (2013) “Model-based inference for knearest neighbours predictions using a canonical vine copula”. Scandinavian Journal of
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139.
Hauglin, K.M., Dibdiakova, J., Gobakken, T., & Næsset, E. (2013) “Estimating
single-tree branch biomass of Norway spruce by airborne laser scanning”. ISPRS Journal
of Photogrammetry and Remote Sensing 79:147-156. DOI:
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Hauglin, M., Astrup, R., Gobakken, T. & Næsset E. (2013) “Estimating singletree branch biomass of Norway spruce with terrestrial laser scanning using voxel-based
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McRoberts, R., Næsset, E., & Gobakken, T. (2013) “Accuracy and precision for
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McRoberts, R., Næsset, E., & Gobakken, T. (2013) “Inference for lidar-assisted
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Næsset, E., Gobakken, T., Bollandsås, O.M., Gregoire, T.G., Nelson, R., Ståhl, G.
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144.
Næsset, E., Bollandsås, O.M., Gobakken, T., Gregoire, T.G., & Ståhl, G. (2013)
“Model-assisted estimation of change in forest biomass over an 11 year period in a
sample survey supported by airborne LiDAR: A case study with post-stratification to
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Pedersen, R. Ø., Næsset E. , Gobakken, T. & Bollandsås, O.M. (2013) “On the
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Risbøl, O., Bollandsås, O.M, Nesbakken, A., Ørka, H.O., Næsset, E. &
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