ABSTRACT
This study uses remote sensing technology and data sharing. It tries to establish the analysis model of slope displacement data, evaluate slope debris production, and multi-sequence debris migration and transition analysis using synthetic aperture radar and other sensing technics. To build a database, this study collects multi-phase SAR images, LiDAR, and aerial photography DEM data. UAV aerial photography modeling is used to collect recent research data. This study uses the SAR intensity interpretation method to analyze the collapse range. Compare the difference with satellite collapse interpretation. Good interpretation results are obtained in both ALOS and Sentinel-1 satellite images. In the analysis of slope displacement information, use 7 DSM, DEM, and 26 satellite images to organize the recent changes in the study area. Combined with SBASInSAR, the slip rate analysis was performed to evaluate the extent of the potential landslide area. Finally, the mechanical model was used to infer the potential slip depth and volume, and the potential of the upstream collapse area was calculated. The sliding volume is about 11 million cubic meters. It is reasonable and feasible to verify the results of DSM analysis as an evaluation method for soil sand production.
