Journal
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
Volume 8, Issue 1, Pages 14-18Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LGRS.2010.2050054
Keywords
Calibration; integral equation model (IEM); synthetic aperture radar (SAR) images
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Funding
- Centre d'Etude du Machinisme Agricole du Genie Rural des Eaux et Forets (CEMAGREF) (Agricultural and Environmental Engineering Research)
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The estimation of surface soil parameters (moisture and roughness) from synthetic aperture radar (SAR) images requires the use of well-calibrated backscattering models. The objective of this letter is to extend the semiempirical calibration of the backscattering integral equation model (IEM) initially proposed by Baghdadi et al. for HH and VV polarizations to HV polarization. The approach consisted in replacing the measured correlation length by a fitting/calibration parameter so that model simulations would closely agree with radar measurements. This calibration in C-band covers radar configurations with incidence angles between 24 degrees and 45.8 degrees. Good agreement was found between the backscattering coefficient provided by the SAR and that simulated by the calibrated version of the IEM.
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