Title: Sponsored by:
1Sponsored by ASPRS Primary Data Acquisition
Division ISPRS Commission I, Working Group VI
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5- Geospatial Information
- Information Goals
- why, when, what, where, who, how?
- Film vs. Digital
- Spatial Resolution
- Positional Accuracy
- Spectral Accuracy
- Calibration
- Metadata
- Costs
6- INFORMATION GOALS
- Interpretation vs. Classification
- SPATIAL
- resolution
- positional accuracy
- SPECTRAL
- automated
- bands
- bandwidth
- interpreted
- TEMPORAL
- Change detection
                                               Â
                      ltgt
71 meter resolution
86 resolution
9Film vs.. Digital
10Spatial Resolution Ground Sample
Distance NIIRS http//www.fas.org/irp/imint/niirs_
c/guide.htm
11Resolution - interpretation - identification
12Resolution - interpretation - identification
1.6m
0.80m
0.40m
0.20m
0.10m
0.05m
0.03m
0.01m
13Resolution - interpretation - identification
12.8m
6.4m.
3.2m
1.6m
0.80m
0.40m
0.20m
0.10m
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15Positional Accuracy
16Accuracy
Airborne digital sensor ADS40
Analog aerial camera RC30
Best achievable geo-referencing accuracy 10 cm
x, y, z at GSD 15 cm
Best achievable point accuracy 3-4 cm x, y,
z at photo scale 11,500
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18- Positional Accuracy Factors
- GPS accuracy
- IMU accuracy
- DEM sources
- USGS topos
- LIDAR
- Ground Survey Markers
19- Positional Terms
- Georeference
- Geolocate one
- point on image
- Georegister
- rubber sheeting
20- Positional Terms contd
- Terrain Correction
- DEM
- Ortho Correction
- photogrammetric
21Elevation Correction During Processing
Elevation corrected GeoTIFF file produced
automatically using DGPS and IMU data in
conjunction with USGS DEM data
Cheesman Reservoir, CO
1-meter-per-pixel resolution
22Improved Alignment With Elevation Corrected Data
GeoTIFF files processed with elevation data.
Notice improved scene-to-scene alignment,
especially along diagonal utility line
GeoTIFF files processed without elevation data
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25Spectral Accuracy
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27Spectral Image Resolution Bandwidth Number of
bands
28Spectral band filters
Legend 1 Grass 2 Lime Stone 3 Sand, dry 4 Snow,
old 5 Fir tree 6 Asphalt, wet 7 Water
1
2
3
4
5
6
7
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30Cloud Free?
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32Todays Airborne Digital Mapping
Multi-spectral Mapping Cameras
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34Sensor Head SH40
Leica
- 3 panchromatic CCD lines each 2 x 12,000 pixels,
staggered by 3.25 ?m - 4 multispectral CCD lines, each 12,000 pixels
- Pixel size 6.5 ?m x 6.5 ?m
- Field of view (FoV) or swath angle 64
- Focal length 62.77 mm
- Stereo angles 14, 28, 42
35Panchromatic and spectral band filters
Panchromatic backwards
NIR band
Panchromatic nadir
Blue band
Green band
Red band
Panchromatic forward
36Swath width of different sensors at same GSD
ADS40
Typical digital frame camera
GSD 20cm Swath 2.4 km Flight
lines 1
GSD 20 cm Swath 0.9 km Flight
lines 3
Swath of ADS40with 2x12k staggered CCD lines
Swath of 4K surface array camera
Swath width
37Z/I DMC -4 7kx4k pan -4 3kx2k MS -840Gbyte recorde
rs
Zeiss/Intergraph
38Vexcel
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40Applanix/Emerge Camera
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42Costs? Leica ADS40 2,000,000 Zeiss DMC
1,600,000 Applanix DSS 900,000 Vexcel
Ultracam 600,000 ADS 8K
385,000 DiMAC 356,000
43Camera Calibration Developers- yes Contracting- no
44CAMERA METADATA
Dont DUCK Metadata!
45Data Processing
- All information is stored on a removable hard
drive and processed into geo-referenced, terrain
corrected,band-registered imagery in less than 40
seconds per scene - Data processing takes place on PC computers
46Platforms Unmanned Aerial Vehicles Balloons/Blimp
s Helicopters Cessna 172s Piper Senecas Beech
King Airs Learjets U-2s/SR-71s
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50GeoTechnologies 4K Osprey Heliport
51Illicit Plant Identification
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53Applications Corridor Mapping
54Applications Forest Differentiation
Hardwood / Softwood Distinction
55Freshwater mixing with saltwater
56Complementing strengths
Airborne digital sensors
Spaceborne sensors (Hi-Resolution)
- Data on demand
- Can operate in adverse weather conditions(
flying under clouds ) - Adaptable resolution0.1 - 0.8 m Pan0.2 - 1.6 m
Multispectralby changing flying height - Stereo imagery is inherent
- Fixed orbit (450-650 km)
- Availability is weather dependent
- Fixed resolution 0.8 m Pan4.0 m Multispectral
- Known cost per scene
- Stereo on demand
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58Satellite Systems
http//commavail.noaa.gov/controlcenter.cfm?ft0
- all civil land imaging satellites to be in orbit
by 2010. - Optical, 26 in orbit, 21 planned
- Radar, 3 in orbit, 9 planned,
- 2 Resolution Groups
- 19 hi rez - 0.5 to 1.8 meter
- 40 mid rez - 2 to 36 meter
59Satellite Systems contd
- Coverage
- Hi-res swaths - 10 to 20 km
- Mid-res swaths - 120 to 185 km
- except DMCs - 600 km swaths
- Only 10 satellites are privately funded, 4 US, 2
Israeli, and 4 German. The current private
systems depend heavily on military sales. - European satellites - Dual Purpose military
and civil users.
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70Spatial Coverage
Landsat
ASTER, 1/2SPOT
QuickBird
IKONOS
OrbView-3
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72Hyperspectral
73AVIRIS
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751989 ITRES CASI Hyperspectral
76RADAR
77RADARSAT
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80NASA JPL AIRSAR
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83GEOSAR
84LIDAR
85Nautical Charts Yucatan Peninsula, Mexico
SHOALS - Nautical Charts - Yucatan Peninsula, Mexico
SHOALS - Nautical Charts - Yucatan Peninsula, Mexico
86LIDAR
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89REFERENCES
90http//www.asprs.org/WGL/publib.cfm
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93NASA CARSTAD SENSOR LIBRARY
http//CARSTAD.gsfc.nasa.gov CARSTAD Center for
Airborne Remote Sensing and Technology and
Applications Development
94FUTURE GIS DRIVEN!
- Bigger Sensors/Chips (but how soon?)
- More Airborne Applications
- UAVs
- Hyperspectal? (practical for large areas?)
- IMU/GPS referencing
- Telemetry and Real-time Processing
- More Global Earth Observation Satellites
- Automated Image Classification ecognition
- More Thermal?
95Predator
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