Lecture 07

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Surveying and Digitizing
Primary Data Sources
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Measurements
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Remotely sensed data
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Field → surveying
Lab (not covered here)
already secondary?
Creating geometries
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Definitely in the realm of secondary data
Digitizing
Scanning
Surveying
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Measurements and measurement
techniques
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Distances
Angles
Position determination
Applications
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Traversing and mapping
Construction and earthwork
Boundary surveys
Definition of Surveying
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General
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To inspect, view, scrutinize, or examine
To determine condition, situation, or value
Specifically
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Science and art of determining relative
positions of points above, on, or beneath
earth surface
Uses of Surveying
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Locate/map resources
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Engineering design
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Layout construction or engineering projects
Verify performance
Acquire reliable data
Provide control
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Usually for location
History of Surveying
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Early applications
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Boundary location
Construction
Mapping
Early surveys limited by technology
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Crude and inconsistent methods
Development of sighting devices,
standards, …
History of Surveying (2)
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Industrial revolution improved surveying
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Advances in available materials
Improvement in tools
Electronics revolution  fundamental
advances
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Electronic distance and angle measurement
Satellite surveying
Enhanced processing
Specific Types of Surveying
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Property (cadastral) surveying
Control surveying
Mapping surveying (planimetric or
topographic)
Photogrammetric surveying
Construction (engineering) surveying
Route surveying
Hydrographic surveying
Surveying Measurements
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Two quantities measured in surveying
Lengths
 Angles
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All measurements are imperfect
Errors
 Mistakes
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Measurement Errors
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Sources of errors
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Personal
Types of errors
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Natural
Instrumental
Systematic
Random
Terms used in describing errors
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Precision
Accuracy
Idea of Relative Position
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Question: Have the points moved?
Answer: Relative to what?
References
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Needed for expressing location of points,
lines, other objects
Datums provide references in surveying
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Horizontally
Vertically
Reference Ellipsoids
Basic Concept
a = semi-major axis
b = semi-minor axis
f = flattening
b ab
f  1 
a
a
e = eccentricity
a 2  b2
e
 2f  f 2
a
Example Reference Ellipsoids
Ellipsoid Equatorial Axis
Polar Axis
Association
Clarke, 1866 12,756,412.8 m 12,713,167.6 m NAD27 datum
GRS80
WGS84
ITRS
12,756,274 m
12,713,504.6 m NAD83 datum
12,756,274 m
12,713,504.6 m GPS
12,756,272.98 m 12,713,503.5 m ITRF
GRS = Geodetic Reference System
WGS = World Geodetic System
ITRS = International Terrestrial Reference System
Ignoring Earth Curvature
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Distance
8000.000m ( 5 miles)
1000 km
 998.95 km
Ignoring Earth Curvature (2)
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Level line
Horizontal plane
1 mile (1609 m)
8 inches ( 20 cm)
Level surface
Ignoring Earth Curvature (3)
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Triangle geometry
mi2
75
(48,000 acres)
19,800 hectares
Sum of Interior
Angles =
180° 00' 01"
Digitizing and Scanning
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Instruments
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Georeferencing
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The process and problems associated
with it
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Automation
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Formats
Why Do We Have To Digitize?
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Existing data sets are general purpose,
so if you want something specific you
have to create it
In spite of 20+ years of GIS, most stuff
is still in analog form
Chances are somebody else has
digitized it before; but data sharing is
not what it should be
Digitizer
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Digitizing table
10” x 10” to 80” x 60”
$50 - $2,000
1/100th inch accuracy
Stylus or
puck with control buttons
The Digitizing Procedure
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Affixing the map to the digitizer
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Registering the map
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Actual digitizing
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In point mode
In stream mode
Georeferencing
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Entered:
at least 3 control points
Tic 1: 11° 15' N
30° 30' E
aka reference points or tics
Tic 2: 11° 15' N
73° 30' E
easily identifiable on the map
exact coordinates need to be known
East of Greenwich
Digitizing Table Coordinates
71°
72°
73°
11°
11°
12°
12°
South
Origin:
X = 4 in.
Y = 5 in.
Tic Points
71°
72°
73°
Digitizing Modes
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Point mode
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most common
selective choice of points digitized
requires judgment
for man-made features
Stream mode
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large number of (redundant) points
requires concentration
For natural (irregular) features
Problems With Digitizing
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Paper instability
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Humidity-induced shrinking of 2%-3%
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Cartographic distortion, aka
displacement
Overshoots, gaps, and spikes
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Curve sampling
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Errors From Digitizing
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Fatigue
Map complexity
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½ hour to 3 days for a single map sheet
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Sliver polygons
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Wrongly placed labels
5
6 7
8
Digitizing
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Rule of thumb: one
boundary per minute
ergo:
appr. 62 lines
= more than one hour
Costs
Automated Data Input
(Scanning)
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Work like a photocopier or fax machine
Three types:
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Flatbed scanners
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Drum scanner
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A4 or A3
600 to 2400 dpi optical resolution
$50 to $2,000
practically unlimited paper size
$10k TO $50k
Video line scanner
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produces
vector data
Requirements for Scanning
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Data capture is fast but preparation is tedious
Computers cannot distinguish smudges
Lines should be at least 0.1 of a mm wide
Text and preferably color separation
300
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AI techniques don’t work (yet?)
Symbols such as  are too variable for
automatic detection and interpretation
Semi-automatic Data Input
(Heads-up Digitizing)
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Reasonable compromise between
traditional digitizing and scanning
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Much less tedious
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Incorporating your intelligence
Criteria for Choosing
Input Mode
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Images without easily detectable line
work should be left in raster format
Really dense line work should be left as
background image –
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unless it is really needed for automatic GIS
analysis; in which case you would have to
bite the bullet
Conversion from Other
Databases
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Autocad .dxf and dBASE .dbf are de facto
standards for GIS data exchange
In the raster domain there is no
equivalent; .tif comes closest to a
“standard”
In any case: merging data that originate
from different scales is problematic – in
the best of all worlds; there is no
automatic generalization routine
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