Flood and landslide applications of near real-time satellite rainfall products |
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| Authors: | Yang Hong Robert F Adler Andrew Negri George J Huffman |
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| Institution: | (1) Goddard Earth and Science Technology Center, UMBC, Baltimore, MD 20440, USA;(2) Laboratory for Atmospheres, NASA Goddard Space Flight Center, Mail code 613.1, Greenbelt, MD 20771, USA;(3) Science Systems and Applications, Inc., Greenbelt, MD, USA |
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| Abstract: | Floods and associated landslides account for the largest number of natural disasters and affect more people than any other
type of natural disaster. With the availability of satellite rainfall analyses at fine time and space resolution, it has also
become possible to mitigate such hazards on a near-global basis. In this article, a framework to detect floods and landslides
related to heavy rain events in near-real-time is proposed. Key components of the framework are: a fine resolution precipitation
acquisition system; a comprehensive land surface database; a hydrological modeling component; and landslide and debris flow
model components. A key precipitation input dataset for the integrated applications is the NASA TRMM-based multi-satellite
precipitation estimates. This dataset provides near real-time precipitation at a spatial-temporal resolution of 3 h and 0.25° × 0.25°.
In combination with global land surface datasets it is now possible to expand regional hazard modeling components into a global
identification/monitoring system for flood/landslide disaster preparedness and mitigation. |
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| Keywords: | Satellite remote sensing Precipitation Flood Landslide |
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