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Low latency DESDynI data products for disaster response, resource management and other applications

Show simple item record Doubleday, J. Chien, S. Lou, Y. 2011-08-08T16:38:57Z 2011-08-08T16:38:57Z 2011-04-11
dc.identifier.citation Information Systems for Predicting and Responding to Disasters (ISRSE 2011), Sydney Australia, April 11, 2011. en_US
dc.identifier.clearanceno 11-0209
dc.description.abstract We are developing onboard processor technology targeted at the L-band SAR instrument onboard the planned DESDynI mission to enable formation of SAR images onboard opening possibilities for near-real-time data products to augment full data streams. Several image processing and/or interpretation techniques are being explored as possible direct-broadcast products for use by agencies in need of low-latency data, responsible for disaster mitigation and assessment, resource management, agricultural development, shipping, etc. Data collected through UAVSAR (L-band) serves as surrogate to the future DESDynI instrument. We have explored surface water extent as a tool for flooding response, and disturbance images on polarimetric backscatter of repeat pass imagery potentially useful for structural collapse (earthquake), mud/land/debris-slides etc. We have also explored building vegetation and snow/ice classifiers, via support vector machines utilizing quad-pol backscatter, cross-pol phase, and a number of derivatives (radar vegetation index, dielectric estimates, etc.). We share our qualitative and quantitative results thus far. en_US
dc.description.sponsorship NASA/JPL en_US
dc.language.iso en_US en_US
dc.publisher Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2011. en_US
dc.subject realtime en_US
dc.subject SAR en_US
dc.subject polarimetry en_US
dc.subject classification en_US
dc.subject disaster management en_US
dc.subject applications en_US
dc.subject onboard processing en_US
dc.title Low latency DESDynI data products for disaster response, resource management and other applications en_US
dc.type Preprint en_US

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