Evolution and resurrection process of landslides in Xiluodu Reservoir, Jinsha River revealed by time-series InSAR measurements

Landslides are a common type of geological disaster in the lower reaches of the Jinsha River, characterized by concealment, suddenness, and long-distance movement at high altitudes, posing significant threats to life and property. This study focuses on the Xiluodu Reservoir, a high-risk geological disaster area in the lower reaches of the southwestern Jinsha River, using the CtSent data processing platform and Sentinel-1A ascending and descending radar satellite data, combined with the elastic cuboid dislocation model for inversion results. By leveraging CtSent’s capabilities, this study ensures efficient storage, pre-processing, and analysis of massive InSAR datasets, streamlining data organization and improving computational efficiency. The study systematically investigates the spatiotemporal dynamic evolution characteristics and the dynamic mechanism of landslides in the Xiluodu area. By analyzing the relationship between landslide displacement, DEM, and rainfall, the study reveals the triggering effect of rainfall on landslide activity and its seasonal characteristics. The CtSent platform and mculti-source geographic data management system facilitate automated data fusion and visualization, aiding in the interpretation of landslide dynamics over time. Based on the inversion results from the elastic cuboid dislocation model, the velocity field and strain patterns in the landslide area were obtained, showing that the main deformation in the landslide area is concentrated in the center and is dominated by shear strain. The strain model also indicates central subsidence and horizontal extension due to gravitational forces, while northward movement dominates.