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Fully versus Partial Polarimetry for quantitative surface parameter estimation

Axel Breuer (1)and Irena Hajnsek(2)

(1) ALCATEL SPACE INDUSTRY, 26 avenue Jean-Francois Champollion, 31000 Toulouse, France
(2) DLR German Aerospace Center, PO 1116, 82230 Wessling, Germany

Abstract

Surface parameters are important for applications such as hydrological processes forcasting, agricultural activities management and climatic models validation. Polarimetric SAR data analysis is a promising technique for estimating quantitatively surface parameters on extended areas. For that purpouse, fully polarimetric inversion algorithms are under developpement. The aim of the poster is to briefly present a direct fully polarimetric model, the recent F-Bragg Model [1], and to focus on its inversion abilities. This is dons by comparing the estimated soil moisture and surface roughness to in-situ measurements. In the second step the potential of using partial polarimetric information inside the developped F-Bragg model is investigated.

References:

[1] A. Breuer, I. Hajnsek, S. Allain, L. Ferro-Famil, E. Pottier, J. Bruniquel, 'Polarimetric Surface scattering model for Surface Parameter Inversion', Proc. of SPIE 9th international Symposium on Remote Sensing, 2002.

 

Full paper

 

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