Landslide Hazard Identification and Deformation Monitoring Based on Multi-source Remote Sensing:A Case Study of the Xiamaoping Reservoir Landslide in Jinggang Mountain
The large-scale identification of potential landslides and monitoring of key landslides with modern re-mote sensing technology have become the focus of current research on disaster prevention and reduction.Among them,the investigation of small-scale landslides in densely vegetated areas has always been a challenge in re-search.Therefore,the area around the Maoping Reservoir landslide at the foot of the Jinggang Mountains is select-ed as an example.It combines optical imagery with Sentinel-1A radar imagery,employing optical interpretation and InSAR deformation technology to achieve the identification of landslide hazards over a large area.Additional-ly,using StaMPS-InSAR and SBAS-InSAR techniques,it conducts long-term deformation monitoring of specific small-scale landslide bodies.The research findings indicate that three landslides were identified over a large area based on StaMPS-InSAR.This together with the imagery interpretation based on GF data confirmed the Maoping Reservoir landslide at the foot of the Jinggang Mountains as a hazard.For this potential hazard,long-term deform-ation monitoring was carried out based on the above two InSAR techniques,obtaining the deformation state before and after the sliding of this landslide.The occurrence of this landslide is strongly correlated with terrain slope,rainfall,and human activities.The results of this study provide meaningful references for the identification and monitoring of small-scale landslide hazards.
StaMPS-InSARSBAS-InSARlandslide early identificationoptical remote sensingsmall-scale landslides
万方数据
