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POLARIMETRIC SAR MODEL FOR SOIL MOISTURE ESTIMATION OVER VINEYARDS AT C-BAND
Author(s) -
J. David BallesterBerman,
Fernando Vicente-Guijalba,
Juan M. LópezSánchez
Publication year - 2013
Publication title -
electromagnetic waves
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.437
H-Index - 89
eISSN - 1559-8985
pISSN - 1070-4698
DOI - 10.2528/pier13071702
Subject(s) - remote sensing , environmental science , water content , inversion (geology) , synthetic aperture radar , polarimetry , soil science , radar , meteorology , computer science , scattering , geology , structural basin , geography , physics , geotechnical engineering , optics , paleontology , telecommunications
In this paper we propose a two-component polarimetric model for soil moisture estimation on vineyards suited for C-band radar data. According to a polarimetric analysis carried out here, this scenario is made up of one dominant direct return from the soil and a multiple scattering component accounting for disturbing and nonmodeled signal fluctuations from soil and short vegetation. We propose a combined X-Bragg/Fresnel approach to characterize the polarized direct response from soil. A validation of this polarimetric model has been performed in terms of its consistency with respect to the available data both from RADARSAT-2 and from indoor measurements. High inversion rates are reported for different phenological stages of vines, and the model gives a consistent interpretation of the data as long as the volume component power remains about or below 50% of the surface contribution power. However, the scarcity of soil moisture measurements in this study prevents the validation of the algorithm in terms of the accuracy of soil moisture retrieval and an extensive campaign is required to fully demonstrate the validity of the model. Different sources of mismatches between the model and the data have been also discussed and analyzed.This work was supported by the Spanish Ministry of Economy and Competitiveness (MINECO) and EU FEDER, under Project TEC2011-28201-C02-02

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