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