Abstract
To address the challenge that traditional ground survey methods struggle to identify high-position concealed landslide hazards, the author's team proposed a "space-air-ground" collaborative "Three-Survey" system for landslide hazard identification and monitoring, which has been applied engineering-wise nationwide with good results, though few academic reports on this work exist. Taking the Danba County section of the Dadu River Basin, a region with frequent landslide disasters, as the study area, this study conducts specific practices of landslide hazard identification and monitoring based on the "Three-Survey" system. First, two InSAR techniques—stacking-interferometric synthetic aperture radar (Stacking-InSAR) and small baseline subsets-InSAR (SBAS-InSAR)—combined with high-resolution optical remote sensing were utilized to achieve a broad-area survey of active landslide hazards throughout the experimental region, with a comparative analysis conducted between the identification results of Stacking-InSAR and SBAS-InSAR. Subsequently, airborne LiDAR measurement technology and UAV aerial photogrammetry technology were employed to conduct detailed investigations of landslide hazards in high-risk sections around Danba County town, followed by verification of major landslide hazards through field surveys. Finally, SBAS-InSAR technology was used to monitor and analyze deformation of typical landslide hazards. Through collaborative utilization of space-air-ground observation means, a total of 41 landslide hazards were detected in the study area, primarily local reactivations of large ancient landslide accumulations under disturbances from long-term gravitational action, river erosion, and human engineering activities. The deformation evolution trends of most landslide hazards show good correlation with seasonal rainfall.
Full Text
Early Detection and Monitoring of Potential Landslides in Danba County Based on the Space-Air-Ground Investigation System
FU Hao¹,², LI Weile¹, LU Huiyan¹, XU Qiang¹, DONG Xiujun¹, GUO Cheng¹, XIE Yi³, WANG Dong³, LIU Gang¹, MA Zhigang²
¹State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China
²Sichuan Institute of Land and Space Ecological Restoration and Geological Hazard Prevention, Chengdu 610081, China
³China Railway Eryuan Engineering Group Co. Ltd, Chengdu 610031, China
Abstract
Traditional ground-based investigation methods face significant challenges in identifying high-elevation, concealed landslide hazards. To address this issue, our research team has proposed a "Three-Investigation" system that integrates space-air-ground collaborative observations for landslide hazard identification and monitoring. This system has been successfully implemented across China with promising results, though academic publications on the work remain limited. This study applies the Three-Investigation system to the Danba County section of the Dadu River basin, an area prone to frequent landslide disasters. We first employed two InSAR techniques—stacking interferometric synthetic aperture radar (Stacking-InSAR) and small baseline subsets InSAR (SBAS-InSAR)—combined with high-resolution optical remote sensing to conduct a broad-area screening of active landslide hazards throughout the entire study area, and comparatively analyzed the identification results from both methods. Subsequently, we utilized airborne LiDAR measurement technology and UAV aerial photogrammetry to conduct detailed investigations of high-risk sections around Danba County town, followed by field surveys to verify major landslide hazards. Finally, SBAS-InSAR technology was employed to monitor and analyze deformation of typical landslide hazards. Through the synergistic use of space-air-ground observation methods, we detected a total of 41 potential landslide hazards in the study area. These hazards primarily represent localized reactivation of large ancient landslide deposits under disturbances from long-term gravitational forces, river erosion, and human engineering activities. The deformation evolution trends of most identified landslide hazards show strong correlation with seasonal rainfall patterns.
Keywords: Potential landslide hazards; Identification and monitoring; Three-Investigation system; InSAR; Airborne LiDAR measurement; Danba County