In this paper radar scattering models based on coherent and incoherent formulations for an African grassland (Sahelian) are examined. The coherent model is used to account for the structure of the grass plants and the results are compared with the same model assuming random placement
and orientation of scatters, and the radiative transfer model. The validity of the three models applied to grass vegetation is determined by comparing the model predictions with Envisat Advanced Synthetic Aperture Radar (ASAR) data gathered in 2005 over Sahelian grassland. The Agoufou site,
as defined in the African Monsoon Multidisciplinary Analysis (AMMA) project, is selected as the test target and a set of ground data was collected during 2004 and 2005. Through a comprehensive data comparison, it is shown that the coherent scattering model with a generator considering botanical
information is the best model to predict the backscattering data that matches Envisat measurements well (correlation = 0.92). At low incidence angles (<30°), the radar backscatter shows a strong dependence on soil moisture variations. The analysis of the different contributions leads
to a study of the main scattering mechanisms. For high incidence angles, the backscattering coefficient at HH polarization shows a marked seasonal variation associated with grass presence.
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Document Type: Research Article
Laboratoire d'Etudes et de Recherche en Imagerie Spatiale et Medicale, UFR PCA, Universite Paul Sabatier Toulouse III, Toulouse Cedex 9, France
Radiation Laboratory, Department of Electrical Engineering and Computer Science, The University of Michigan, Ann Arbor, MI, USA
CESBIO (UPS-CNRS-CNES-IRD) 18 Avenue Edouard Belin, Toulouse Cedex 9, France
Laboratiore des Mecanismes et Transferts en Geologie, Toulouse, France
Publication date: March 1, 2010
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