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Recent advances on InSAR temporal decorrelation : theory and observations using UAVSAR

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dc.contributor.author Lavalle, M.
dc.contributor.author Hensley, S.
dc.contributor.author Simard, M.
dc.date.accessioned 2013-09-03T15:05:05Z
dc.date.available 2013-09-03T15:05:05Z
dc.date.issued 2011-09-23
dc.identifier.citation FRINGE 2011 Workshop, Frascati, Italy, September 19-23, 2011 en_US
dc.identifier.clearanceno 11-4385
dc.identifier.uri http://hdl.handle.net/2014/43631
dc.description.abstract We review our recent advances in understanding the role of temporal decorrelation in SAR interferometry and polarimetric SAR interferometry. We developed a physical model of temporal decorrelation based on Gaussian-statistic motion that varies along the vertical direction in forest canopies. Temporal decorrelation depends on structural parameters such as forest height, is sensitive to polarization and affects coherence amplitude and phase. A model of temporalvolume decorrelation valid for arbitrary spatial baseline is discussed. We tested the inversion of this model to estimate forest height from model simulations supported by JPL/UAVSAR data and lidar LVIS data. We found a general good agreement between forest height estimated from radar data and forest height estimated from lidar data. 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 Synthetic aperture radar (SAR) en_US
dc.subject polarimetric SAR interferometry en_US
dc.title Recent advances on InSAR temporal decorrelation : theory and observations using UAVSAR en_US
dc.type Preprint en_US


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