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IEEE Geoscience and Remote Sensing Letters 8, 1 (2011) p. 14 - p. 18
Semi-empirical calibration of the Integral Equation Model for SAR data in C-band and cross polarization using radar images and field measurements
N. Baghdadi 1, J. Abou Chayya 1, M. Zribi 2
(2011)

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 paper is to extend the semi-empirical calibration of the backscattering Integral Equation Model (IEM) initially proposed by Baghdadi et al. (2004 and 2006) 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° and 45.8°. Good agreement was found between the backscattering coefficient provided by the SAR and that simulated by the calibrated version of the IEM.
1:  Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS)
Centre de coopération internationale en recherche agronomique pour le développement [CIRAD] : UMR91 – CEMAGREF-UR LCMO – Ecole Nationale du Génie Rural des Eaux et Forêts
2:  Centre d'études spatiales de la biosphère (CESBIO)
CNRS : UMR5126 – Institut de recherche pour le développement [IRD] – CNES – Observatoire Midi-Pyrénées – INSU – Université Paul Sabatier [UPS] - Toulouse III
Engineering Sciences/Signal and Image processing

Computer Science/Signal and Image Processing
TELEDETECTION – RADAR – IMAGERIE – HUMIDITE DU SOL – RUGOSITE – MODELE – CALIBRATION – BANDE PASSANTE – IMAGES RADAR – MODELE IEM – SAR – RUGOSITE DU SOL – BANDE C
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