Study on the deformation characteristics of ancient landslides in Chengchi Village based on SBAS-InSAR monitoring technology
Shixing WANG , Zhengxuan XU , Siwei ZHAO , Yuhao TANG , Chen GUO , Wenlong ZHAO
Water Resources and Hydropower Engineering ›› 2025, Vol. 56 ›› Issue (S1) : 681 -688.
Landslide-related geological disasters pose a significant threat to human life and property, making the in-depth study of the deformation characteristics of landslides both scientifically valuable and practically important. The Small Baseline Subset Interferometric Synthetic Aperture Radar(SBAS-InSAR) technique is one of the most effective method for monitoring large-scale, slow-moving landslide surface deformations. The technology efficiently identifies the spatiotemporal deformation characteristics of landslides. In this study, we applied the SBAS-InSAR method to analyze the spatiotemporal deformation of the ancient landslide area in Chengchi Village, using 76 ascending orbit images from the Sentinel-1A satellite and 12 ascending orbit images from the ALOS-1/PALSAR satellite. The results indicate that the most significant deformation area of the ancient landslide in Chengchi Village is concentrated in the southern part of the upper-middle section, with a maximum annual average deformation rate of-90 mm/year. Between 2020 and 2022, the cumulative deformation at the most affected point reached-237 mm, with a deformation gradient ranging from 0 to-0.5. The research results indicate that the ancient landslide in Chengchi Village is in a state of long-term, continuous creep. By integrating L-band and C-band monitoring, the precision and timeliness of landslide deformation detection have been significantly enhanced. This approach provides crucial data support for the early identification of landslides and disaster warnings, laying a solid scientific foundation for disaster prevention, mitigation, and improving the effectiveness of early warning systems.
ancient landslides / SBAS-InSAR / Sentinel-1A / ALOS-1/PALSAR / deformation characteristics
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