A medium-sized rainfall-induced landslide detection using L- and C-band SAR images: A comparative study in agricultural lands

Abstract

Because of landslides, rapid volume of materials fall or move along the steep slopes. This research consists of a comparative study for creating landslide inventory maps (LIM) in agricultural lands of Gilan province, Iran using the ALOS-2 PALSAR-2 and Sentinel-1 (both ascending and descending directions). A pixel-based RGB band combination model and interferometric synthetic aperture radar (InSAR) technique were used to detect the occurred landslides. The landslide was detected using ALOS-2 PALSAR-2, while, it was not detected using Sentinel-1. The google earth and GPS were employed to validate the study. The results showed the potential of L-band ALOS-2 PALSAR-2 compared to C-band Sentinel-1.