Research on airborne LiDAR-based technology for analyzing the stability of high-level dangerous rocks

High-altitude rockfalls pose a significant challenge in the fields of geological disaster prevention and geotechnical engineering, and long-term monitoring is crucial for early identification and warning. Unmanned aerial vehicle (UAV) photogrammetry, particularly airborne LiDAR, offers novel technical approaches for monitoring high-altitude unstable rock masses; however, there is currently no clear method for effectively characterizing rock stability using such data. This study employs airborne LiDAR scanning and aerial photography as primary technical methods, focusing on revealing the intrinsic correlation between three-dimensional point cloud data characteristics and the stability of high-altitude hazardous rocks—a core scientific issue. The study will comprehensively apply statistical methods and point cloud processing technologies such as the Point Cloud Library (PCL) to address key data processing issues such as the sparsity and registration of three-dimensional point cloud data, aiming to establish a quantitative assessment method for the stability of high-altitude unstable rock masses based on UAV aerial point cloud data. The anticipated outcomes of this research will provide new theoretical foundations for the safe monitoring of high-altitude unstable rock formations and lay an important technical foundation for achieving automated analysis and long-term monitoring of their stability using UAV platforms.