DocumentCode :
1773598
Title :
Slope-corrected vegetation-corrected polarimetric two-scale model for soil moisture retrieval
Author :
Di Martino, Gerardo ; Iodice, Antonio ; Riccio, Daniele ; Natale, Antonio
Author_Institution :
Dept. of Electr. Eng. & Inf. Technol., Univ. degli Studi di Napoli Federico II, Naples, Italy
fYear :
2014
fDate :
8-10 Oct. 2014
Firstpage :
77
Lastpage :
80
Abstract :
We present a method able to retrieve the soil moisture content and the surface roughness of a moderately vegetated soil in a possibly hilly area, from a fully polarimetric SAR dataset. The estimation procedure is based on the prediction of the second order statistics of the scattered field provided by the Slope-Corrected Polarimetric Two-Scale Model combined with a two-component scattering model. The performance of the estimation method is assessed by comparing obtained retrieval results to “in situ” measurements. To this aim, data from AGRISAR 2006 campaign are employed.
Keywords :
geophysical techniques; polarimetry; soil; statistics; surface roughness; synthetic aperture radar; vegetation; AGRISAR 2006 campaign; estimation method performance; estimation procedure; fully polarimetric SAR dataset; hilly area; in situ measurement; moderately vegetated soil surface roughness; scattered field second order statistics prediction; slope-corrected vegetation-corrected polarimetric two-scale model; soil moisture content retrieval; two-component scattering model; Rough surfaces; Scattering; Soil moisture; Surface roughness; Surface topography; Synthetic aperture radar; SAR Polarimetry; soil moisture retrieval;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
European Radar Conference (EuRAD), 2014 11th
Conference_Location :
Rome
Type :
conf
DOI :
10.1109/EuRAD.2014.6991211
Filename :
6991211
Link To Document :
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