Abstract
Landslides and collapses are common geological hazards in mountainous areas, posing significant threats to the lives and property of residents. Therefore, early identification of disasters is of great significance for disaster prevention. In this study, we used Small Baseline Subset Interferometric Synthetic Aperture Radar (SBAS-InSAR) technology to process C-band Sentinel-1A images to monitor the surface deformation from Songpinggou to Feihong in Maoxian County, Sichuan Province. Visibility analysis was used to remove the influence of geometric distortion on the SAR images and retain deformation information in the visible area. Hot spot and kernel density analyses were performed on the deformation data, and 18 deformation clusters were obtained. Velocity and slope data were integrated, and 26 disaster areas were interpreted from the 18 deformation clusters, including 20 potential landslides and 6 potential collapses. A detailed field investigation indicated that potential landslides No. 6 and No. 8 had developed cracks and were severely damaged, with a high probability of occurrence. Potential collapse No. 22 had developed fissures, exposing a dangerous rock mass and posing significant threats to the lives and property of residents. This study shows that the proposed method that combines visibility analysis, InSAR deformation rates, and spatial analysis can quickly and accurately identify potential geological disasters and provide guidance for local disaster prevention and mitigation.
Highlights
IntroductionInclude collapses, landslides, debris flows, karst surface collapses, ground fissures, and subsidence [3,4]
Geological hazards are catastrophic events caused by natural or man-made factors [1,2]and include collapses, landslides, debris flows, karst surface collapses, ground fissures, and subsidence [3,4]
The deformation velocity of the study area ranges from −46.50 mm/y to 39.87 mm/y, and the average rate is −6.24 mm/y
Summary
Include collapses, landslides, debris flows, karst surface collapses, ground fissures, and subsidence [3,4]. They typically occur in mountainous areas and are characterized by a sudden occurrence, accompanied by casualties, property losses, and environmental destruction [5,6,7]. Experts analyzed macro-physiological features using field surveys to identify potential disasters such as landslides [11,12]. Traditional measurement methods, such as leveling measurements, global positioning systems (GPS), and global navigation satellite systems
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