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

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 &q...

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Bibliographic Details
Published in:IEEE geoscience and remote sensing letters 2011-11, Vol.8 (6), p.1160-1164
Main Authors: Baghdadi, N., Saba, E., Aubert, M., Zribi, M., Baup, F.
Format: Article
Language:English
Subjects:
Backscatter
Backscattering
Computer simulation
Correlation
Data models
Dubois model
Environmental Sciences
integral equation model (IEM)
Oh model
Radar
Rough surfaces
Soil
Soils
Surface roughness
Synthetic aperture radar
TerraSAR-X images
X-band
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Summary: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 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.
ISSN:1545-598X
1558-0571
DOI:10.1109/LGRS.2011.2158982