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National Center for Geographic Information and Analysis |
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| Authors: | Nicholas M Short Jr Leonard Dickens |
| Institution: | 1. Intelligent Data Management Project , Information Science and Technology Branch/Code 935 , NASA/GSFC, Greenbelt, MD, 20771, U.S.A.;2. Intelligent Data Management Project , USRA, Greenbelt, MD, 20771, U.S.A. |
| Abstract: | Abstract Abstract. The growth of the remote sensing field has caused and explosion in the size and complexity of Earth satellite image databases. The explosion of data is already challenging current satellite-based GIS databases. New technologies for information management will be required in the future to maintain these large geographically-oriented systems created by projects such as NASA's Earth Observing System (EOS). This paper presents a technology adapted from the planning/scheduling field in Artificial Intelligence (AI) that promises to automate and facilitate the process of creating and storing satellite images and their associated data products. |
| Keywords: | Automated watershed analysis Depression watershed method Outlet‐tracing algorithm (OTA) Headwater‐tracing algorithm (HTA) Geomorphological instantaneous unit hydrograph (GIUH) |