Journal
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
Volume 41, Issue 4, Pages 727-744Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TGRS.2003.810702
Keywords
inversion; soil moisture; surface parameters; surface roughness; synthetic aperture radar (SAR) polarimetry
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This paper proposes a new model for the inversion of surface. roughness and soil moisture from polarimetric synthetic aperture radar (SAR) data, based on the eigenvalues and eigenvectors of the polarimetric coherency matrix. It demonstrates how three polarimetric parameters, namely the scattering entropy (H), the scattering anisotropy (A), and the alpha angle (alpha) may be used in order to decouple surface roughness from moisture content estimation offering the possibility of a straightforward,inversion of these two surface parameters. The potential of the proposed inversion algorithm is investigated using fully polarimetric laboratory measurements as well as airborne L-band SAR data and ground, measurements from two different test sites in Germany, the Elbe-Auen site and the Weiherbach site.
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