Global Archive of Ortho-rectified Landsat DataEntry ID: ORTHO_LANDSAT
Abstract: Recognizing the need to provide high-resolution satellite data to the scientific community, NASA's Commercial Remote Sensing Program Office, has been working to assemble the first wall-to-wall global coverage of ortho-rectified Landsat Thematic Mapper and Multi Spectral Scanner data to support scientific studies. In August of 1998, NASA contracted with MDA (then EarthSat) to produce positionally ... accurate orthorectified Landsat Thematic Mapper and Multispectral Scanner imagery covering the majority of the Earth's land mass. Scene selection, acquisition, and processing of Landsat data is done by MDA Federal Inc. (http://www.mdafederal.com).
There are two separate product lines developed from the GeoCover Project:
1. EarthSat GeoCover-Ortho (Orthorectified) products are the actual satellite images derived from Landsat TM scenes and are the most accurate, commercially available base maps of the world.
2. EarthSat GeoCover-LC (Land Cover) products consist of a medium resolution land cover database, prepared from consistently orthorectified Landsat Thematic Mapper (TM) imagery.
The Landsat imagery used to create the GeoCover-Ortho products have been hand selected to provide the lowest cloud cover and highest quality data possible. The Landsat TM imagery are all circa 1990 and have been selected as close to the local peak growing season as possible. The imagery have been collected from the majority of the Landsat foreign ground stations, as well as from the US Government's EROS Data Center. Never before has such a complete collection of high quality Landsat imagery been assembled for processing and analysis. The GeoCover-Ortho image map data sets represents a milestone in the use of Landsat digital imagery to map and study the Earth's surface.
For more information see http://www.mdafederal.com/geocover/project
(Click for Interactive Map)
Data Set Citation
Dataset Title: GeoCover Ortho-rectified Thematic Mapper Imagery
Dataset Publisher: Earth Satellite Corporation
Start Date: 1972-01-01Stop Date: 1977-12-31
Start Date: 1987-01-01Stop Date: 1993-12-31
Latitude Resolution: 57.0 meter pixel size
Longitude Resolution: 57.0 meter pixel size
Horizontal Resolution Range: 30 meters - < 100 meters
ISO Topic Category
Quality For information on the global coverage of scenes and mosaics see
Data Set Progress
Distribution Format: GeoTIFF, MrSID,GIS
Fees: $250 and less per scene
Role: DIF AUTHOR
Phone: (301) 614-6898
Email: Tyler.B.Stevens at nasa.gov
NASA Goddard Space Flight Center Global Change Master Directory
Province or State: MD
Postal Code: 20771
Becker, F., H.-J. Bolle, and P.R. Rowntree, The International
Satellite Land-Surface Climatology Project, Free University of Berlin,
Federal Republic of Germany, ISLSCP-Secretariat, 100 pp., 1988.
Eidenshink, J.C., and J.L. Faundeen, The 1-km AVHRR global land data
set: First stages in implementation, Innt. J. Rem. Sens., 15,
Goward, S.N., R. Dubanyah, and J. Haskett, LANDSAT-7 long term
acquisition plan: Seasonal acquisition strategy, Pecora 13, August
20-22, Sioux Falls, South Dakota, American Society of Photogrammetry,
IGBP, The International Geosphere-Biosphere Programme: A Study of
Global Change (IGBP), The Initial Core Projects, Rep. No. 12,
Stockholm, Sweden, 330 pp., 1990.
Koeln, G.T., J.D. Dykstra, and J. Cunningham, Geocover and
Geocover-LC: Ortho-rectified Landsat TN/MSS data and derived land
cover for the world, International Symposium on Digital Earth,
November 29-December 2, Beijing, China, 1999.
Rossow, W.B., and R.A. Schiffer, Advancess in understanding clouds
from ISCCP, Bull. Am. Meteorol. Soc., 80, 2261-2287, 1999.
Townshend, J.R.G., and C.O. Justice, Selectiong the spatial resolution
of satellite sensors required for global monitoring of land
transformations, Int. J. Rem. Sens., 9, 187-236, 1988.
Townshend, J.R.G., and C.O. Justice, The spatial vaiation of
vegetation changes at very coarse scales, Int. J. Rem. Sens., 11,
Townshend, J.R.G., and C.O. Justice,W. Li, C. Gurney, and J. McManus,
Global land cover classification by remote sensing: Present
capabilities and future possiblities, Rem. Sens. Environ., 35,
WMO, WCRP Scientific Plan for the GEWEX Continental Scale
International Project (GCIP), REp. No. WCRP-67, WMO/TD-461, World
Meteorological Organization and the International Council of
Scientific Unions, 65 pp., 1992.
Creation and Review Dates
DIF Creation Date: 2000-12-20
Last DIF Revision Date: 2008-01-31