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Carolyn J. Merry

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Title: Carolyn J. Merry


1
US Space Airborne Platforms
  • Carolyn J. Merry
  • NCRST-Flow
  • The Ohio State University
  • Center for Mapping

2
Sensor Type
  • Single-band data
  • B/W aerial photo, panchromatic image
  • Coherent light source (laser ranger, LIDAR)
  • Radar
  • Multi-band data
  • RGB/CIR aerial photo
  • Multispectral scanner
  • Hyperspectral scanner

3
Platforms used for data acquisition
  • Space-based
  • (Space Shuttle, Satellite)
  • Polar-orbiting, sun-synchronous
  • 800-900 km altitude, 90-100 minutes/orbit
  • Geo-synchronous
  • 35,900 km altitude, 24 hrs/orbit
  • stationary relative to Earth
  • Aircraft
  • (Helicopter, Airplane, UAV)
  • Low, medium high altitude
  • Higher level of spatial detail

Space-based
High Altitude (gt3000m) (Airplanes)
Low-High Altitude (300-3000m) (Airplanes)
Low Altitude (lt300m) (Helicopter, UAV)
4
Satellite and aircraft systems
  • Landsat-7 Enhanced Thematic Mapper Plus (ETM)
  • SPOT-4, -5 High Resolution Visible (HRV)
  • Ikonos-2
  • QuickBird-2
  • OrbView-3
  • EO-1 Hyperion
  • Aircraft
  • UAV

5
Landsat-7 satellite
  • 705-km altitude
  • 16-day repeat cycle
  • 185-km swath width
  • Descending node at 1000 - 15 min.
  • Whisk-broom scanner
  • Radiometric resolution 28 (256 levels)
  • 15-m pan (0.52-0.90 µm)
  • 6-band multispectral (XS) 30-m
  • 0.45-0.52 µm (blue), 0.53-0.60 µm (green),
    0.63-0.69 (red)
  • 0.76-0.90 (near IR), 1.55-1.75 µm (mid IR),
    2.07-2.35 µm (mid IR)
  • 10.4-12.5 µm (thermal IR 60 m)
  • Image data 600/scene (185 by 185 km)
  • Web site http/edcsns17.cr.usgs.gov/EarthExplorer
    /

Image, Courtesy of NASA
6
Landsat-7 ETM sensor
ETM Band 1 0.45-0.52 mm
ETM Band 2 0.53-0.60 mm
ETM Band 3 0.63-0.69 mm
ETM Band 4 0.76-0.90 mm
ETM Band 5 1.55-1.75 mm
ETM Band 6 10.4-12.5 mm
ETM Band 7 2.07-2.35 mm
ETM PAN Band 0.52-0.90 mm
7
Landsat-7 image
False Color Composite (4,3,2)
True Color Composite (3,2,1)
15 m PAN Band
8
Historical archive
9
Information content
  • Highway centerline principally interstates
  • wider roads
  • General utility line mapping routing
  • Land use mapping for corridor studies USGS
    level I, II
  • Monitoring urban heat island effect

10
SPOT satellites
  • SPOT-1, 2, 3 satellite
  • 822-km altitude
  • 98 inclination sun-synchronous orbit
  • 101-minute orbit, 26-day repeat cycle, allows
  • 1-2 day revisit
  • 2 HRVs CCDs 3000, 6000 detectors 60-km swath
  • 10, 20 m resolution
  • Pan 0.51-0.70 µm
  • XS green (0.50-0.59 m) red (0.61-0.68 µm)
    near IR (0.79-0.89 µm)
  • mid IR (1.58-1.75 µm)
  • Off-nadir viewing capability (27)
  • Allows us to acquire stereo pairs
  • Image data 2000/scene for level 1B data (60 km
    by 60 km, up to 80 km by 60 km
  • for off-nadir scenes)
  • SPOT-4 satellite
  • 2 HRVIR Instruments 10, 20 m resolution
  • Pan 0.61-0.68 µm
  • XS green (0.50-0.59 m) red (0.61-0.68 µm)
    near IR (0.79-0.89 µm) mid IR (1.58-1.75 µm)

Image, Courtesy of SPOT Image, S.A.
11
SPOT-2 spectral bands
SPOT Band 1, 0.50-0.59 mm
SPOT, Color Composite (3,2,1)
SPOT Band 2, 0.61-0.68 mm
SPOT Band 3, 0.79-0.89 mm
12
SPOT Sample Images
SPOT 10-m pan
SPOT Selection, 10-m pan mosaic of Ohio
13
Information content
  • Highway centerline interstates, roads with
    better road definition
  • General utility line mapping routing
  • Land use mapping for corridor studies USGS
  • level I, II

14
Space Imaging Ikonos-2
  • Sept 24, 1999 launch
  • Sun-synchronous, polar-orbiting
  • 680 km altitude, 98.1 inclination
  • 26 off-nadir collection, 1-day revisit
  • 1030 local time
  • 11 x 11 km scene size
  • 11-bit data
  • 1-m pan 0.45-0.90 µm
  • 124,000 scale (12.2 m w/o ground control)
  • 12,400 scale (2 m with ground control)
  • 4-m multispectral sensor
  • 0.45-0.52 µm (blue) 0.52-0.60 µm (green)
  • 0.63-0.69 µm (red) 0.76-0.90 µm (near IR)
  • 97-211/sq mi for 1-m pan or 4-m XS, depending
    on orthorectification process
  • Ikonos model data products DEMs
  • 15-m 30-m postings (7 m vertical accuracy)
  • Space Imaging, Inc. Thornton, CO
  • Website http//www.spaceimaging.com

Image, Courtesy of Space Imaging
15
Ikonos image
False Color Composite (4,2,1)
1 m Pan Image
True Color Composite (4,2,1)
16
Ikonos 1 m pan Tucson, AZ
Background image
Road extracted
17
Principal components analysis
PCA 3
PCA 4
18
Multi-resolution data merging
19
EarthWatch, Inc. QuickBird-2
  • October 18, 2001 launch
  • 450 km altitude off-nadir viewing (25)
  • 0.61-m pan (0.45-0.90 µm)
  • 2.44-m multispectral
  • 0.45-0.52 µm (blue) 0.52-0.60 µm (green)
  • 0.63-0.69 µm (red) 0.76-0.90 µm (near IR)
  • 16.5-km image swath
  • 11-bit data

EarthWatch, Inc. Longmont, CO Website
http//www.digitalglobe.com
Image, Courtesy of EarthWatch
20
QuicKBird-2 sample images
Denver, CO 17 July 2002 60 cm natural color
pan-sharpened
Paris, France Champs-Elysées 27 Mar 02 61-cm
pan
Source www.digitalglobe.com
21
QuicKBird-2 sample images
Austin, Texas 2.44 m XS 14 Dec 01 Univ of
Texas Stadium
Taj Majah of India 15 Feb 02 61-cm PAN
Source www.digitalglobe.com
22
Orbital Imaging Corp. OrbView-3
  • June 26, 2003 launch
  • 470 km altitude 1030 am crossing
  • 45 pointing ability, lt3 days revisit
  • 1-m pan 0.45-0.90 µm
  • 4-m MS sensor
  • 0.45-0.52 µm (blue) 0.52-0.60 µm (green)
  • 0.625-0.695 µm (red) 0.76-0.90 µm (near IR)
  • 8-km swath

Orbital Imaging, Corp. Dulles, VA Website
http//www.orbimage.com
Image, Courtesy of Orbital Imaging
23
OrbView-3 sample images
1 m pan image
4 m XS image
1 m pan image of Paris, France
Source www.orbimage.com
24
Information content
  • Transportation infrastructure - detailed road
    centerline with road width
  • Detect vehicles on roads for traffic count
    studies
  • Disaster emergency response pre-
    post-imagery, damaged housing stock, damaged
    transportation, damaged utilities services
  • Building property infrastructure building
  • perimeter, area, height cadastral
    information
  • (property lines)
  • Land use/land cover for corridor studies USGS
    level I, II, III, IV

25
Hyperspectral data EO-1 satellite
  • November 21, 2000 launch
  • 705-km altitude, co-fly with Landsat-7
  • with 1 minute
  • Hyperion sensor
  • 242 spectral bands in a 10 nm
  • bandwidth, ranges from 0.4-2.5 µm
  • 7.5 by 100 km area with 30 m ground
  • resolution
  • Research imagery NASA investigators

26
Hyperion data
EO-1 natural color composite bands 29, 23, 16
Image cube
27
Hyperspectral imaging Aircraft-based
  • AVIRIS
  • Operated by JPL, NASA
  • 224 spectral bands in a 10 nm bandwidth, ranges
    from 0.4-2.5 mm
  • Scene size 614 x 512 pixels with 20 m ground
    resolution (high altitude), with 3.5-7 m
    resolution (low altitude)
  • Daedalus AADS
  • Operated by EPA
  • 12-40 spectral bands
  • Resolution varies according to flight altitude

Image, Courtesy of Daedalus Enterprise NASA
28
AVIRIS sample data
Low altitude 3.5 m image
Normal AVIRIS image (30 m)
True Color Composite (10, 20,30)
False Color Composite (20, 30,40)
Buildings
Vegetation
Vegetation
Soil
Concrete surface
Dry asphalt surface
Wet asphalt surface
Water
29
Daedalus AADS sample image
Band 01.
Band 07.
AADS 1260/12 Band MSS Data
Band 02.
Band 08.
08/15/1994, True Color (7,4,3)
Band 03.
Band 09.
Band 04.
Band 10.
Band 05.
Band 11.
Band 06.
Band 12.
30
Information content
  • Highway centerline principally interstates,
  • wider roads
  • General utility line mapping routing
  • Land use mapping for corridor studies USGS
  • level I, II, III, IV
  • Material type of roads asphalt, concrete
  • Better definition of linear road features

31
LIDAR Light Detection and Ranging advantages
  • Measures the laser pulse time from transmitter to
    the target back to the receiver
  • Laser pulse travels at speed of light
    (3108m/sec), very accurate timing is necessary
    to obtain fine vertical resolution
  • One nanosecond timing resolution range
    measurement accuracy of 30 cm
  • Timing technology allows for lt5 cm

Courtesy of EarthData Technologies
32
Laser ranging LIDAR image
World Trade Center, NY
Courtesy of NOAA
33
Aerial photography advantages
  • Stereo coverage allows
  • vehicle matching
  • Vehicle speeds
  • Vehicle densities
  • Level of service
  • Turning movements

Projected positions of vehicles at various
speeds between two aerial photo frames
34
UAV, Uninhabited aerial vehicle
  • Low cost solution for data acquisition
  • High portability
  • Real-time imaging w/still digital images or video

Moakley Center
GeoData Systems
BAT and its operation
35
Image processing considerations
  • Coarser spatial resolution with satellite
  • data vs. aircraft data
  • Infrequent image acquisition from
  • satellites vs. on demand with aircraft
  • Stereo coverage with satellite aircraft vs.
    constant viewing of highway using ground sensors

36
Sensor considerations
  • Current satellite and aircraft sensors
  • Uses in transportation flow applications
  • Area of coverage
  • Costs of imagery
  • Spatial resolution
  • Wavelength region spectral resolution

37
Spatial resolution consideration
  • Typical sensor resolution
  • low altitude aerial photo lt 2 ft
  • QuickBird, 0.61 m (2 ft)
  • Ikonos/OrbView pan, 1 m
  • QuickBird XS, 2.44 m
  • Ikonos/OrbView XS, 4 m

38
Vehicle Spectral Reflectance Data
Spectral resolution consideration
2
2
1
1
B/W (1 band) image
RGB (Multi-band) image
Multi-band images provide additional information
for feature identification
39
Conclusions
  • Remote sensing data are available from satellites
    and aircraft platforms
  • Spatial resolution is detailed enough to provide
    imagery results for use in transportation flow
    methodologies
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