The Recognition of Landslide Areas in Southern IRAN: Results from C-band InSAR Analysis
Mohammadimanesh, Fariba1; Motagh, Mahdi2

In this study, we have evaluated the capability of C-band SAR Interferometry to detect landslide prone areas in Khoozestan province, southern Iran. This area is among the most landslide-prone regions in Iran. Assessment of landslide hazard in this area has so far relied on landslide inventories, mainly compiled by government agencies whereas the majority of them have been carried out after phases of high landslide activity by field investigations and interpretation of aerial photographs. Much needs to be done for quantitative analysis of processing parameters and precursors for the onset of slope failures in the area. We use 17 SAR images acquired by Envisat satellite during 2003-2010 time-period and process them using advanced InSAR time-series analysis to detect landslide-prone areas. The use of InSAR time- series makes the long-term monitoring of creep in slow active landslides more feasible compared to conventional InSAR, where atmospheric artifacts disturb the creep signal. The results are compared with field measurements and observations from optical remote sensing measurements to evaluate the performance of C-band radar data for slope instability analysis at the regional scale.