Slow‐moving landslides along reservoir banks often act as precursors to catastrophic failures, which could lead to significant risks to human lives and critical infrastructures. Fortunately, interferometric synthetic aperture radar (InSAR), with its wide‐area, lightweight, and all‐weather monitoring capabilities, provides a promising method for effectively forecasting such events. Small baseline subset (SBAS) InSAR, utilizing a combination of multiple master images and short baselines, efficiently obtains adequate coherent points from the site surface. This study measured surface deformation in Suijiang County using a total of 202 ascending and 199 descending Sentinel‐1 images, spanning the period from 2014 to 2022. The SBAS method with the Generic Atmospheric Correction Online Service (GACOS) data is used to analyze the time‐series deformation in Suijiang County, and the results are interpreted by integrating the monitoring data of ascending and descending orbits. The monitoring results indicate significant deformation in the study area, primarily occurring before the implementation of the geotechnical treatment project. In the procedure of geological treatment, the deformation rate of the site tends to converge. It is found that both precipitation and high reservoir water levels were the triggers of surface deformation. Furthermore, the spatiotemporal evolution of the deformation zone was examined using historical data. Finally, the structural damage level is assessed by analyzing the deformation field of the building. The results demonstrate that accurate building safety evaluations necessitate integration of prior information. This study provides an important case reference for the analysis, identification, and prevention of slow‐moving landslides and subsequent disasters on reservoir banks and similar infrastructures.
Zhou et al. (Wed,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: