DocumentCode
1460399
Title
A Potential Use for the C-Band Polarimetric SAR Parameters to Characterize the Soil Surface Over Bare Agriculture Fields
Author
Baghdadi, Nicolas ; Cresson, Remi ; Pottier, Eric ; Aubert, Maelle ; Zribi, Mehrez ; Jacome, Andres ; Benabdallah, Sihem
Author_Institution
UMR TETIS, Nat. Res. Inst. of Sci. & Technol. for Environ. & Agric. (IRSTEA), Montpellier, France
Volume
50
Issue
10
fYear
2012
Firstpage
3844
Lastpage
3858
Abstract
The objective of this study was to analyze the potential of the C-band polarimetric synthetic aperture radar (SAR) parameters for the soil surface characterization of bare agricultural soils. RADARSAT-2 data and simulations using the integral equation model were analyzed to evaluate the polarimetric SAR parameters´ sensitivities to the soil moisture and surface roughness. The results showed that the polarimetric parameters in the C-band were not very relevant to the characterization of the soil surface over bare agricultural areas. Low dynamics were often observed between the polarimetric parameters and both the soil moisture content and the soil surface roughness. These low dynamics do not allow for the accurate estimation of the soil parameters, but they could augment the standard inversion approaches to improve the estimation of these soil parameters. The polarimetric parameter α1 could be used to detect very moist soils (>; 30%), while the anisotropy could be used to separate the smooth soils.
Keywords
geophysical techniques; soil; synthetic aperture radar; vegetation; C-band polarimetric SAR parameters; RADARSAT-2 data; RADARSAT-2 simulations; bare agricultural areas; bare agricultural soils; bare agriculture fields; integral equation model; soil moisture content; soil surface characterization; soil surface roughness; synthetic aperture radar; Correlation; Rough surfaces; Scattering; Soil moisture; Surface roughness; Surface waves; Bare agricultural soils; RADARSAT-2; polarimetric SAR data; soil surface characteristics;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/TGRS.2012.2185934
Filename
6161630
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