Exploration of the Application of Fine Reconstruction of Unmanned Aerial Vehicles in Landslide Disaster Investigation and Management

Abstract

The mountainous terrain in the southwest region is characterized by significant topographic relief and abundant rainfall. When constructing new energy infrastructure such as booster stations in mountainous areas, it is extremely easy to induce landslide instability due to the excavation of mountain slopes. This article takes the Wangmo landslide in the southwestern region of Guizhou Province as the research object, uses multi-rotor drones as platforms, and utilizes techniques such as ground-based photogrammetry and close-range photogrammetry to detect and obtain relevant parameters such as the shape, deformation and damage characteristics, and zoning of the Wangmo landslide. The specific application methods and application effects of fine reconstruction of drones in landslide hazard detection and management are elaborated and discussed. The conclusions are as follows: Compared with traditional orthophotography, the high-definition image data obtained through fine reconstruction of ground-based photogrammetry and close-range photogrammetry generates more comprehensive orthophotographs and 3D model textures with higher resolution. Using the orthophotographs and 3D models produced by fine reconstruction, the structural surface combination, surface crack development, and landslide deformation zone are interpreted, and the formation mechanism of the landslide is determined in conjunction with ground surveys, providing a data foundation for prevention and control design. UAV aerial survey has the characteristics of short cycle, flexibility, and strong emergency response, and has high promotion value in landslide hazard investigation of booster stations.