Abstract
NASA Earth Observing System (EOS) has generated science results derived from its unique observational data that are now becoming readily available in unprecedented quantity and quality. Though originally designed for specific scientific research, the EOS sensor suite offers unparalleled operational value for relevant applications. Similarly, the science results (e.g., models) that are developed from these observations have profound value for their ability to predict future conditions. Twelve priority National Applications owned by other federal agencies have been identified as potentially benefiting from newly available EOS capabilities. The Decision Making Systems (DMSs) of these National Applications incorporate at least one Decision Support System (DSS). The purpose of this work is to report a process for assimilating NASA geospatial data, mission products, and/or science results into these DSSs in partnership with their Federal owners.
Original language | English (US) |
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Pages | 1065-1070 |
Number of pages | 6 |
State | Published - 2003 |
Event | 2003 IGARSS: Learning From Earth's Shapes and Colours - Toulouse, France Duration: Jul 21 2003 → Jul 25 2003 |
Other
Other | 2003 IGARSS: Learning From Earth's Shapes and Colours |
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Country/Territory | France |
City | Toulouse |
Period | 7/21/03 → 7/25/03 |
ASJC Scopus subject areas
- Computer Science Applications
- General Earth and Planetary Sciences