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Object-oriented monitoring of forest disturbances with ALOS/PALSAR time-series

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dc.contributor.author Marshak, Charles
dc.contributor.author Simard, Marc
dc.contributor.author Denbina, Michael
dc.date.accessioned 2021-01-13T16:39:57Z
dc.date.available 2021-01-13T16:39:57Z
dc.date.issued 2019-07-28
dc.identifier.citation IGARSS 2019 - IEEE International Geoscience and Remote Sensing Symposium,Yokohama, Japan, July 28 - August 2, 2019 en_US
dc.identifier.clearanceno 19-0708
dc.identifier.uri http://hdl.handle.net/2014/50660
dc.description.abstract We present a flexible methodology to identify forest loss in SAR L-band ALOS/PALSAR images. 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, 2019 en_US
dc.subject change detection en_US
dc.subject forest disturbances en_US
dc.subject PALSAR en_US
dc.subject L-band SAR en_US
dc.subject microvave remote sensing en_US
dc.title Object-oriented monitoring of forest disturbances with ALOS/PALSAR time-series en_US
dc.type Preprint en_US


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