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Inferring soil moisture and vegetation parameters from airborne and spaceborne radar data

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dc.contributor.author Zyl, J. van en_US
dc.contributor.author Kim, Y. en_US
dc.contributor.author Nghiem, S. en_US
dc.date.accessioned 2004-09-17
dc.date.available 2004-09-17
dc.date.issued 2002-08-17 en_US
dc.identifier.citation 27th General Assembly of the International Union of Radio Science en_US
dc.identifier.citation Maastricht, Netherlands en_US
dc.identifier.clearanceno 02-0043 en_US
dc.identifier.uri http://hdl.handle.net/2014/8086
dc.description.abstract Most of the emphasis in active remote sensing of soil moisture has focused on higher resolution SAR data. We critically examine the existing soil moisture algorithms, and compare the performance of the different algorithms. en_US
dc.format.extent 1099124 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.subject.other soil moisture meteorology SeaWinds QuikSCAT en_US
dc.title Inferring soil moisture and vegetation parameters from airborne and spaceborne radar data en_US


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