Evaluation of Radar Backscattering Models IEM, Oh, and Dubois for SAR Data in X-Band Over Bare Soils - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement
Article Dans Une Revue IEEE Geoscience and Remote Sensing Letters Année : 2011

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

Résumé

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 V V 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.
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Dates et versions

hal-02924185 , version 1 (27-08-2020)

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Citer

Nicolas Baghdadi, Elie Saba, Maelle Aubert, Mehrez Zribi, Frédéric Baup. Evaluation of Radar Backscattering Models IEM, Oh, and Dubois for SAR Data in X-Band Over Bare Soils. IEEE Geoscience and Remote Sensing Letters, 2011, 8 (6), pp.1160-1164. ⟨10.1109/LGRS.2011.2158982⟩. ⟨hal-02924185⟩
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