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Evaluation of Radar Backscattering Models IEM, Oh, and Dubois for SAR Data in X-Band Over Bare Soils

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5 Author(s)
Nicolas Baghdadi ; Agricultural and Environmental Engineering Research (CEMAGREF), Unité Mixte de Recherche Territoires, Environnement, Télédétection et Information Spatiale, Montpellier, France ; Elie Saba ; Maelle Aubert ; Mehrez Zribi
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The objective of this letter is to evaluate the surface radar backscattering models, namely, integral equation model (IEM), Oh, and Dubois, for synthetic aperture radar data in X-band over bare soils. This analysis uses a large database of TerraSAR-X images and in situ measurements (soil moisture “mv” and surface roughness “ h_rms”). Oh's model correctly simulates the radar signal for HH and VV polarizations, whereas the simulations performed with the Dubois model show a poor correlation between TerraSAR-X data and model. The backscattering IEM simulates correctly the backscattering coefficient only for h_rms <; 1.5 cm in using an exponential correlation function and for h_rms >; 1.5 cm in using Gaussian function. However, the results are not satisfactory for the use of IEM in the inversion of TerraSAR-X data. A semiempirical calibration of IEM was done in X-band. Good agreement was found between the TerraSAR-X data and the simulations using the calibrated version of the IEM.

Published in:

IEEE Geoscience and Remote Sensing Letters  (Volume:8 ,  Issue: 6 )