GeoEye-1
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Main objectives
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GeoEye-1 formerly
known as OrbView-S is was the world’s highest resolution commercial
Earth-imaging satellite in
2008.
The satellite can collect up to
700,000 square kilometers of panchromatic and up to 350,000 square kilometers
of pan-sharpened multispectral imagery per day.
GeoEye-1
is a low earth orbiter.
GeoEye-1 is able
to revisit any point on Earth once every three days or sooner.
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Platform
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Satellite name
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GeoEye-1- formerly know
as OrbView-5
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Manufacturer
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General Dynamics
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Operator
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GeoEye Inc.
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Sensors
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GeoEye
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Launch date
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6 September 2008
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Launch vehicle
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Delta-2
(7420-10)
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Satellite mass
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452 kg
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Design lifetime
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7 years
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Maximal lifetime
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15 years
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Orbit
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Altitude
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681 km
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Inclination
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98
degree
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Orbital period
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98 minutes
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Characteristics
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Sun-synchronous,
circular orbit
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Overpass time
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10:30 AM
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Repeat coverage
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3 days
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Coverage
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Global
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Sensor
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Type
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Panchromatic and
Multispectral
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Manufacturer
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ITT
Exelis
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Sensor type
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Pushbroom scanner
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Swath width (FOV)
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15.2 km
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Pixel size (GIFOV)
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1.65 m (multispectral);
.41 m (panchromatic)
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Radiometric resolution
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11 bit
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Spectral bands
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Data
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Data provider
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DigitalGlobe
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Data
distribution
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Paid
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Data
access
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Data
archive
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2008-current
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Processing
levels
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L1 (radiometric/systematic correction), L3
(geometric correction)
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Data
format
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GeoTIFF
16 bit
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Image
catalog
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DigitalGlobe catalog, https://www.digitalglobe.com/
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Publications (3,350 total)
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Brunelle, Andrea, Cater, V., Dennison, P. (2010)
Assessing canopy mortality during a mountain pine beetle outbreak using
GeoEye-1 high spatial resolution satellite data. Remote Sensing of
Environment (114): 2431-2435.
The paper describes a study conducted on North
America beetle kill of the lodgepole pine using GeoEye-1 data.
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Hussain, Ejaz, Fu, C., Kim, K., Shan, J., Ural, S.
(2013) Building Extraction and Rubble mapping for City Port-au-Prince Post-
2010 Earthquake with GeoEye-1 Imagery and Lidar Data. Photogrammetic
Engineering & Remote Sensing (77): 1011-1023.
The paper describes how GeoEye-1 was used to map
rubble after the Haiti earthquake. The data was also used to see what type so
structure was found most damaged.
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Aguilar, M.A., and Aguilar,
F.J. Generation and Quality Assessment of Stero-Extracted DSM From
GeoEye-1 and WorldView-2 Imagery. Geoscience and Remote Sensing (52): 1259-1271.
The paper compares
the data between WorldView-2 and GeoEye-1.
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Crespi, M., Capaldo, P.
; Fratarcangeli,
F. ; Nascetti,
A. ; Pieralice,
F. DSM generation from very high optical and
radar sensors: Problems and potentialities along the road from the 3D
geometric modeling to the Surface Model. Geoscience and Remote Sensing
Symposium (2010): 3596-3599.
The paper compares the DMS
accuracy.
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Civco, Daniel, Wintharana, C. Evaluating remote sensing image fusion
algorithms for use in humanitarian crisis management. Earth Resources and Environmental Remote
Sensing/GIS Applications III, 853807 (October 25, 2012)
The
paper applied 12 fusion algorithms to GeoEye-1 crises images and compared.
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References
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WIKI
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http://en.wikipedia.org/wiki/GeoEye-1
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EOportal
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https://directory.eoportal.org/web/eoportal/satellite-missions/g/geoeye-1
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Spectral bands
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https://directory.eoportal.org/web/eoportal/satellite-missions/g/geoeye-1
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Data format
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Other
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http://www.pasco.co.jp/eng/products/geoeye-1/
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Tuesday, December 9, 2014
GeoEye-1
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