Estimating vegetation cover and soil roughness in semi-arid regions from multitemporal dual-frequency SAR data

An experiment aimed at evaluating the potential of synthetic aperture radar (SAR) in monitoring hydrological parameters in semi-desert areas was carried out within the framework of the EC project FLAUBERT (FLood in Arid Units By Earth Remote Techniques). In spite of the very low changes in space and time, the analysis of backscattering and interferometric coherence showed the capability of SAR to separate a few land classes and to point out yearly variations due to vegetation cycles.

[1]  Diane L. Evans,et al.  Estimates of surface roughness derived from synthetic aperture radar (SAR) data , 1992, IEEE Trans. Geosci. Remote. Sens..

[2]  Urs Wegmüller,et al.  Arid land surface characterization with repeat-pass SAR interferometry , 2000, IEEE Trans. Geosci. Remote. Sens..

[3]  K. Tansey,et al.  Remote sensing of desert surface processes and properties using multi-temporal radar imagery , 1998, IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. (Cat. No.98CH36174).

[4]  Jean-Paul Deroin,et al.  An empirical model for interpreting the relationship between backscattering and arid land surface roughness as seen with the SAR , 1997, IEEE Trans. Geosci. Remote. Sens..