Combining space-based and in-situ measurements to track flooding in Thailand

We describe efforts to integrate in-situ sensing, space-borne sensing, hydrological modeling, active control of sensing, and automatic data product generation to enhance monitoring and management of flooding. In our approach, broad coverage sensors and missions such as MODIS, TRMM, and weather satel...

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Bibliographic Details
Main Authors: Chien, Steve, Leelapatra, Watis, Plermkamon, Vichian, Raghavendra, Cauligi, Mandl, Daniel, Doubleday, Joshua, Mclaren, David, Tran, Daniel, Tanpipat, Veerachai, Chitradon, Royal, Boonya-aroonnet, Surajate, Thanapakpawin, Porranee, Khunboa, Chatchai
Format: Conference Proceeding
Language:English
Subjects:
Data models
Flooding
Floods
hydrological modeling
in-situ sensing
Meteorology
MODIS
Satellites
Sensors
space-based remote sensing
Surface waves
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Summary:We describe efforts to integrate in-situ sensing, space-borne sensing, hydrological modeling, active control of sensing, and automatic data product generation to enhance monitoring and management of flooding. In our approach, broad coverage sensors and missions such as MODIS, TRMM, and weather satellite information and in-situ weather and river gauging information are all inputs to track flooding via river basin and sub-basin hydrological models. While these inputs can provide significant information as to the major flooding, targetable space measurements can provide better spatial resolution measurements of flooding extent. In order to leverage such assets we automatically task observations in response to automated analysis indications of major flooding. These new measurements are automatically processed and assimilated with the other flooding data. We describe our ongoing efforts to deploy this system to track major flooding events in Thailand.
ISSN:2153-6996
2153-7003
DOI:10.1109/IGARSS.2011.6050092