Title :
Analysis of L- and C-Band SAR Image Time Series Over a Sahelian Area
Author :
Frison, P.-L. ; Mercier, Guillaume ; Faye, G. ; Mougin, E. ; Hiernaux, P. ; Lardeux, C. ; Rudant, J.-P.
Author_Institution :
CNAM, Univ. Paris-Est, Marne-la-Vallée, France
Abstract :
This letter presents an analysis of two synthetic aperture radar (SAR) images time series over a Sahelian area, which is located in the Gourma region, Mali. The first one is acquired at the C-band by the Environment Satellite-Advanced SAR sensor in wide swath (WS) mode and the second one at the L-band by the ALOS-Phased Array-type L-band SAR in fine, dual, and WS modes. A change detection method based on random projection and the hue-saturation-value transform appears to be very well appropriated to detect the temporal changes appearing on both data sets. The results illustrate the higher penetration depth of the L-band over such sandy soils. The C-band time series is found to be very sensitive to surface changes (soil moisture and vegetation growth). By contrast, the L-band time series appear to be very stable over the sandy soils, i.e., the only temporal changes occurring over temporary or permanent ponds.
Keywords :
geophysical image processing; radar imaging; remote sensing by radar; sand; soil; synthetic aperture radar; terrain mapping; time series; transforms; vegetation; vegetation mapping; ALOS-Phased Array-type L-band SAR; C-band SAR image; Environment Satellite-Advanced SAR sensor; Gourma region; L-band SAR image; Mali; Sahelian area; dual mode; fine mode; hue-saturation-value transform; permanent pond; random projection; sandy soil; soil moisture; surface change; synthetic aperture radar; temporal change detection; temporary pond; time series; vegetation growth; wide swath mode; L-band; Soil; Spaceborne radar; Synthetic aperture radar; Time series analysis; Vegetation mapping; ALOS/Phased Array-type L-band SAR (PALSAR); ENVISAT/Advanced Synthetic Aperture Radar (ASAR); Mali; Sahel; radar; semiarid regions; synthetic aperture radar (SAR); time series analysis;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2012.2227931