DocumentCode :
1764304
Title :
Monitoring Flooding in Thailand Using Earth Observing One in a Sensorweb
Author :
Chien, Stanley ; Doubleday, J. ; McLaren, David ; Tran, Duke ; Tanpipat, V. ; Chitradon, R. ; Boonya-aroonnet, S. ; Thanapakpawin, P. ; Mandl, Daniel
Author_Institution :
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
Volume :
6
Issue :
2
fYear :
2013
fDate :
41365
Firstpage :
291
Lastpage :
297
Abstract :
The Earth Observing One (EO-1) mission has been a pathfinder in demonstrating autonomous operations paradigms. In 2010-2012 (and continuing), EO-1 has been supporting sensorweb operations to enable autonomous tracking of flooding in Thailand. In this approach, the Moderate Imaging Spectrometer (MODIS) is used to perform broad-scale monitoring to track flooding at the regional level (500 m/pixel) and EO-1 is autonomously tasked in response to alerts to acquire higher resolution (30 m/pixel) Advanced Land Imager (ALI) data. This data is then automatically processed to derive products such as surface water extent and volumetric water estimates. These products are then automatically pushed to relevant authorities in Thailand for use in damage estimation, relief efforts, and damage mitigation. EO-1 has served as a testbed and pathfinder to this type of sensorweb operations. Beginning with EO-1, these techniques for monitoring are being extended to other space sensors (such as Radarsat-2, Landsat, Worldview-2, TRMM) and integrated with hydrological models, and integration with in-situ sensors.
Keywords :
disasters; floods; geomorphology; sensors; AD 2010 to 2012; Advanced Land Imager data; Earth Observing One mission; Landsat data; Moderate Imaging Spectrometer; Radarsat-2 data; TRMM data; Thailand; Worldview-2 data; broad-scale monitoring; damage estimation; damage mitigation; flooding monitoring; regional level; sensorweb; space sensors; surface water extent; volumetric water estimation; Earth; Floods; MODIS; Remote sensing; Satellites; Sensors; Support vector machines; Flooding; hydrological modeling; in-situ sensing; space-based remote sensing;
fLanguage :
English
Journal_Title :
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
Publisher :
ieee
ISSN :
1939-1404
Type :
jour
DOI :
10.1109/JSTARS.2013.2247974
Filename :
6482627
Link To Document :
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