基于无人机遥感的公路路域地质灾害监测研究OA

Taking a certain highway project as an example,this paper builds a UAV remote sensing system and designs a UAV inspection method.Through a LiDAR sensor mounted on the UAV,dense point cloud data of the target highway area is collected,and a high-precision Digital Elevation Model(DEM)is constructed.Using a time-series-based DEM difference analysis method,high-risk nodes of geological hazards in the target area are identified,and surface deformation rates are calculated,enabling the monitoring of geological hazards along the highway.The results show that this method can achieve a visual presentation of disaster monitoring results.