The potential of using polarimetric SAR acquisitions for the estimation of volumetric soil moisture under agricultural vegetation is investigated. Soil moisture estimation by means of SAR is a topic that is intensively investigated but yet not solved satisfactorily. The key problem is the presence of vegetation cover which biases soil moisture estimates. In this paper we discuss the problem of soil moisture estimation in the presence of agricultural vegetation by means of L-band polarimetric SAR images. SAR polarimetry allows the decomposition of the scattering signature into canonical scattering components and their quantification. We discuss simple canonical models for surface, dihedral and vegetation scattering and use them to model and interpret scattering processes. The performance and modifications of the individual scattering components are discussed. The obtained surface and dihedral components are then used to retrieve surface soil moisture. The investigations cover for the first time the whole vegetation growing period for three crop types using SAR data and ground measurements acquired in the frame of the AgriSAR campaign.
Potential of Estimating Soil Moisture under Vegetation Cover by means of PolSAR
IEEE Transactions on Geoscience and Remote Sensing ; 47 , 2 ; 442-454
01.02.2009
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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