Title :
Sensitivity of Main Polarimetric Parameters of Multifrequency Polarimetric SAR Data to Soil Moisture and Surface Roughness Over Bare Agricultural Soils
Author :
Baghdadi, N. ; Dubois-Fernandez, P. ; Dupuis, X. ; Zribi, M.
Author_Institution :
TETIS, Nat. Res. Inst. of Sci. & Technol. for Environ. & Agric. (Irstea), Montpellier, France
Abstract :
The potential of polarimetric synthetic aperture radar data for the soil surface characterization of bare agricultural soils was investigated by using air- and spaceborne data acquired by Radar Aéroporté Multi-Spectral d´Etude des Signatures (RAMSES), Système Expérimental de Télédétection Hyperfréquence Imageur (SETHI), and RADARSAT-2 sensors over several study sites in France. Fully polarimetric data at ultrahigh frequency, X-, C-, L-, and P-bands were compared. The results show that the main polarimetric parameters studied (entropy, α angle, and anisotropy) are not very sensitive to the variation of the soil surface parameters. Low correlations are observed between the polarimetric and soil parameters (moisture content and surface roughness). Thus, the polarimetric parameters are not very relevant to the characterization of the soil surface over bare agricultural areas.
Keywords :
geophysical techniques; remote sensing by radar; soil; synthetic aperture radar; vegetation; C-band; L-band; P-band; RADARSAT-2 sensors; RAMSES; Radar Aeroporte MultiSpectral d Etude des Signatures; SETHI; Systeme Experimental de Teledetection Hyperfrequence Imageur; X-band; airborne data; bare agricultural areas; bare agricultural soils; main polarimetric parameter sensitivity; multifrequency polarimetric SAR data; soil moisture; soil surface characterization; soil surface parameters; spaceborne data; surface roughness; synthetic aperture radar data; Entropy; Rough surfaces; Soil moisture; Surface roughness; Synthetic aperture radar; Bare agricultural soils; multifrequency polarimetric synthetic aperture radar (SAR) data; soil moisture; surface roughness;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2012.2220333