History of greenness mapping at the EROS data center
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Abstract
In 1987, the U.S. Geological Survey's EROS Data Center (EDC)installed a system to acquire, process, and distribute advanced very high resolution radiometer (AVHRR) satellite image data collected over North America. Using this system, the EDC began an experimental greenness mapping program as part of the U.S. Agency for the International Development Famine Early Warning System. The program used the greenness information derived from AVHRR data to identify potential outbreaks of locusts and grasshoppers in the Sahelian region of Africa. In 1988, the EDC began greenness mapping projects in Africa and the northern Great Plains of the United States. In 1989, the system was augmented to acquire AVHRR information for the rest of the world. As a result, the greenness mapping program was able to collect data for fire danger assessment, agricultural assessment, and land characterization.
Illustrations of each of the mapping projects trace the chronology of the greenness mapping program at the EDC. Displays represent the initial activity in Africa and the transition of the north Great Plains project to the current conterminous U.S. project. The program's expansion to include Alaska, Eurasia, a prototype North America data set, and ultimately, an experimental global land 1-km product is also shown. The poster describes major technical advances in data processing, the development of derivative products, the magnitude of the data volume of each level, and major applications.
Publication type | Article |
---|---|
Publication Subtype | Journal Article |
Title | History of greenness mapping at the EROS data center |
Series title | Pecora 12 Symposium |
Year Published | 1993 |
Language | English |
Publisher | American Society for Photogrammetry and Remote Sensing |
Publisher location | Bethesda, MD |
Description | 1 p. |
Larger Work Type | Article |
Larger Work Subtype | Journal Article |
Larger Work Title | Pecora 12 Symposium |
First page | 559 |
Last page | 559 |
Google Analytic Metrics | Metrics page |