Landslide Identification in Human-Modified Alpine and Canyon Area of the Niulan River Basin Based on SBAS-InSAR and Optical Images

Landslide identification in alpine and canyon areas is difficult due to the terrain limitations. The main objective of this research was explore method combining small baseline subset interferometric synthetic aperture radar (SBAS-InSAR), multi-temporal optical images field surveys identify potential landslides human-modified area Niulan River southwestern China based on visibility analysis. analyzed using different incident heading angles Sentinel satellite’s ascending descending orbits. Based SAR image data Sentinel-1A satellites from 2016 2019, SBAS-InSAR used landslides, then were facilitate landslide identification. Field carried out verify accuracy. A total 28 identified, including 13 indicated by SBAS-InSAR, 8 imaging 7 investigation. Many induced impoundment fluctuation reservoir water. comparison verification typical monitoring water fluctuations revealed that a sudden drop had great influence stability. These results can comprehensive understanding distribution guide follow-up risk management.