Tuesday, December 9, 2014

QuickBird


QuickBird
Main objectives
• Obtain satellite imagery with a high enough spatial resolution for map creation, change detection, and image analysis
• Make maps of areas through geolocation without needing to use ground control points
• Get up-to-date images of locations around the world
• Collect images of a greater range of targets and provide images that are easy to interpret  
QuickBird-2 (source)
 


Pearl TV Tower, Shanghai, China (source)
Platform
Satellite name
QuickBird-2
Manufacturer
Ball Aerospace & Technologies
Operator
DigitalGlobe
Sensors
Ball Global Imaging System 2000
Launch date
18 October 2001
Launch vehicle
Delta II rocket
Satellite mass
1100 kg (launch), 951 kg (dry)
Design lifetime
5 years
Maximal lifetime
13 years
Orbit
Altitude
400 km (originally 450 km; gradual descent to 300 km at end of mission life)
Inclination
98 degrees
Orbital period
92.4 minutes at 400 km; 90.4 minutes at 300 km
Characteristics
Sun-synchronous
Overpass time
10:00 AM at 400 km; 10:25 AM at 300 km
Repeat coverage
2-12 days (varies by target location due to orbit decay)
Coverage
Global
Sensor
Type
Passive optical imaging sensor
Manufacturer
Ball Aerospace & Technologies
Sensor type
Pushbroom scanner
Swath width (FOV)
14.9 km at nadir at altitude 400 km; 11.2 km at nadir at altitude 300 km
Pixel size (GIFOV)
2.16 m (multispectral), .55 m (panchromatic) at nadir at altitude 400 km; 1.63 m (multispectral), .41 m (panchromatic) at nadir at altitude 300 km
Radiometric resolution
11 bit
Spectral bands


Band Nr
Band Name
Spectral range (nm)
Use of data
Pixel size at altitude 400 km
Pixel size at altitude 300 km
1
Blue
430-545
Vegetation/coastal
2.16 m
1.63 m
2
Green
466-620
Vegetation/coastal
3
Red
590-710
Vegetation/coastal
4
NIR
715-918
Vegetation/coastal
5
PAN
405-1053
Image sharpening
.55 m
.41 m

Data
Data provider
DigitalGlobe
Data distribution
Payment required
Data access
Data archive
2001-current; global extent
Processing levels
Basic imagery: radiometrically corrected, sensor corrected, not projected to a plane
Standard imagery: radiometrically corrected, sensor corrected, projected to a plane
Ortho ready standard stereo imagery: radiometrically corrected, sensor corrected, map projected, not orthorectified
Advanced ortho series: radiometrically-corrected, sensor-corrected, map projected, orthorectified
Data format
GeoTIFF 8 or 16 bit, NITF 2.0, NITF 2.1
Image catalog
Publications (1636 total)
Jensen, J.R., Cowen, D.C. (1999) Remote sensing of urban suburban infrastructure and socio-economic attributes. Photogrammetric Engineering and Remote Sensing (65-5): 611-622
The paper discusses how the ability of remote sensing to get information about urban/suburban infrastructure and socio-economic attributes varies based on the spatial resolution of the sensor, with QuickBird being a proposed sensor to help get better information.
Laliberte, A.S., Rango, A., Havstad, K.M., Paris, J.F., Beck, R.F., McNeely, R., Gonzalez, A.L. (2004) Object-oriented image analysis for mapping shrub encroachment from 1937 to 2003 in southern New Mexico. Remote Sensing of Environment (93-1-2): 198-210
The paper describes the increasing amount of shrubs found in areas in the southwestern United States over time using data from QuickBird and other sensors.
Alparone, L., Baronti, S., Garzelli, A., Nencini, F. (2004) A Global Quality Measurement of Pan-Sharpened Multispectral Imagery. IEEE Geoscience and Remote Sensing Letters (1-4): 313-317
The letter assesses the quality of images produced by combining multispectral images with panchromatic images from QuickBird.
Wang, L., Sousa, W.P., Gong, P., Biging, G.S. (2004) Comparison of IKONOS and QuickBird images for mapping mangrove species on the Caribbean coast of Panama. Remote Sensing of Environment (91-3-4): 432-440
This paper compares the ability of IKONOS to that of QuickBird to provide quality images of mangrove stands on the Caribbean coast of Panama that allow viewers to identify mangrove species in the stands.
Alparone, L., Wald, L., Chanussot, J., Thomas, C., Gamba, P., Bruce, L.M. (2006) Comparison of pansharpening algorithms: Outcome of the 2006 GRS-S data-fusion contest. IEEE Transactions on Geoscience and Remote Sensing (45-10): 3012-3021
The paper discusses two pansharpening algorithms that worked the best on multiple data sets from QuickBird and simulated Pleiades for the 2006 Geoscience and Remote Sensing Society data fusion contest.
References
WIKI
EOportal
Mission
Spectral bands/Data format

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