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Using WorldView-2 Imagery to Track Flooding in Thailand in a Multi-Asset SensorwebFor the flooding seasons of 2011-2012 multiple space assets were used in a "sensorweb" to track major flooding in Thailand. Worldview-2 multispectral data was used in this effort and provided extremely high spatial resolution (2m / pixel) multispectral (8 bands at 0.45-1.05 micrometer spectra) data from which mostly automated workflows derived surface water extent and volumetric water information for use by a range of NGO and national authorities. We first describe how Worldview-2 and its data was integrated into the overall flood tracking sensorweb. We next describe the use of Support Vector Machine learning techniques that were used to derive surface water extent classifiers. Then we describe the fusion of surface water extent and digital elevation map (DEM) data to derive volumetric water calculations. Finally we discuss key future work such as speeding up the workflows and automating the data registration process (the only portion of the workflow requiring human input).
Document ID
20130009122
Acquisition Source
Jet Propulsion Laboratory
Document Type
Conference Paper
External Source(s)
Authors
McLaren, David
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Doubleday, Joshua
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Chien, Steve
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
August 27, 2013
Publication Date
April 23, 2012
Subject Category
Geosciences (General)
Meeting Information
Meeting: SPIE Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery 18th
Location: Baltimore, MD
Country: United States
Start Date: April 23, 2012
End Date: April 27, 2012
Distribution Limits
Public
Copyright
Other
Keywords
surface water extent
WorldView-2
multispectral
sensorweb
volumetic water calculations
flood tracking

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