Sponsored by: - PowerPoint PPT Presentation

1 / 96
About This Presentation
Title:

Sponsored by:

Description:

Sponsored by: – PowerPoint PPT presentation

Number of Views:31
Avg rating:3.0/5.0
Slides: 97
Provided by: jenn228
Category:
Tags: it1 | sponsored

less

Transcript and Presenter's Notes

Title: Sponsored by:


1
Sponsored by ASPRS Primary Data Acquisition
Division ISPRS Commission I, Working Group VI
2
(No Transcript)
3
(No Transcript)
4
(No Transcript)
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

                                                
                      ltgt
7
1 meter resolution
8
6 resolution
9
Film vs.. Digital
10
Spatial Resolution Ground Sample
Distance NIIRS http//www.fas.org/irp/imint/niirs_
c/guide.htm
11
Resolution - interpretation - identification
12
Resolution - interpretation - identification
1.6m
0.80m
0.40m
0.20m
0.10m
0.05m
0.03m
0.01m
13
Resolution - interpretation - identification
12.8m
6.4m.
3.2m
1.6m
0.80m
0.40m
0.20m
0.10m
14
(No Transcript)
15
Positional Accuracy
16
Accuracy
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
17
(No Transcript)
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

21
Elevation 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
22
Improved 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
23
(No Transcript)
24
(No Transcript)
25
Spectral Accuracy
26
(No Transcript)
27
Spectral Image Resolution Bandwidth Number of
bands
28
Spectral 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
29
(No Transcript)
30
Cloud Free?
31
(No Transcript)
32
Todays Airborne Digital Mapping
Multi-spectral Mapping Cameras
33
(No Transcript)
34
Sensor 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

35
Panchromatic and spectral band filters
Panchromatic backwards
NIR band
Panchromatic nadir
Blue band
Green band
Red band
Panchromatic forward
36
Swath 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
37
Z/I DMC -4 7kx4k pan -4 3kx2k MS -840Gbyte recorde
rs
Zeiss/Intergraph
38
Vexcel
39
(No Transcript)
40
Applanix/Emerge Camera
41
(No Transcript)
42
Costs? 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
43
Camera Calibration Developers- yes Contracting- no

44
CAMERA METADATA
Dont DUCK Metadata!
45
Data 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

46
Platforms Unmanned Aerial Vehicles Balloons/Blimp
s Helicopters Cessna 172s Piper Senecas Beech
King Airs Learjets U-2s/SR-71s
47
(No Transcript)
48
(No Transcript)
49
(No Transcript)
50
GeoTechnologies 4K Osprey Heliport
51
Illicit Plant Identification
52
(No Transcript)
53
Applications Corridor Mapping
54
Applications Forest Differentiation
Hardwood / Softwood Distinction
55
Freshwater mixing with saltwater
56
Complementing 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

57
(No Transcript)
58
Satellite 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

59
Satellite 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.

60
(No Transcript)
61
(No Transcript)
62
(No Transcript)
63
(No Transcript)
64
(No Transcript)
65
(No Transcript)
66
(No Transcript)
67
(No Transcript)
68
(No Transcript)
69
(No Transcript)
70
Spatial Coverage
Landsat
ASTER, 1/2SPOT
QuickBird
IKONOS
OrbView-3
71
(No Transcript)
72
Hyperspectral
73
AVIRIS
74
(No Transcript)
75
1989 ITRES CASI Hyperspectral
76
RADAR
77
RADARSAT
78
(No Transcript)
79
(No Transcript)
80
NASA JPL AIRSAR
81
(No Transcript)
82
(No Transcript)
83
GEOSAR
84
LIDAR
85
Nautical Charts Yucatan Peninsula, Mexico
SHOALS - Nautical Charts - Yucatan Peninsula, Mexico
SHOALS - Nautical Charts - Yucatan Peninsula, Mexico
86
LIDAR
  • Puget Sound

87
(No Transcript)
88
(No Transcript)
89
REFERENCES
90
http//www.asprs.org/WGL/publib.cfm
91
(No Transcript)
92
(No Transcript)
93
NASA CARSTAD SENSOR LIBRARY
http//CARSTAD.gsfc.nasa.gov CARSTAD Center for
Airborne Remote Sensing and Technology and
Applications Development
94
FUTURE 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?

95
Predator
96
(No Transcript)
Write a Comment
User Comments (0)
About PowerShow.com