多源遥感技术在藏东南艰险复杂山区泥石流物源识别中的应用

西藏南部及东南部地区地形地质条件复杂,气候恶劣,交通条件极其困难,铁路、公路等长大线状工程涉及范围非常广,采用常规的勘察方法进行泥石流等地质灾害勘察,由于效率低、风险大而无法完全查明.对线状工程在不同设计阶段采用卫星遥感、常规航空遥感、高分辨率无人机机载激光雷达(LiDAR)及高精度倾斜摄影技术,在藏东南高海拔、大高差...

Application of multi-source remote sensing technology in the identification of debris flow source within complex mountainous areas in southeast Tibet

The terrain and geological conditions of southern and southeastern Tibet are complex, the climate is harsh, and the traffic con ditions are extremely difficult. The long linear projects such as railways and highways involve a very wide range. Conventional survey methods are used for the survey of geological disasters such as mudslides due to low efficiency and high risks. It cannot be fully ascertained. This article uses satellite remote sensing, onventional aerial remote sensing, high-resolution drone airborne lidar (LiDAR) and high-precision oblique photography technology in the linear engineering at different design stages in the complex and dangerous mountainnous areas such as high altitudes and large elevation differences in southeastern Tibet. Research on the application of provenance identification technology. In the feasibility study stage, satellite remote sensing has obvious advantages due to its wide coverage. In the preliminary design stage, aerial remote sensing can meet the higher accuracy requirements. For areas with high vegetation coverage, UAV airborne LiDAR can remove vegetation to obtain a true elevation model of the ground. The provenance is effectively identified, and high resolution three-dimensional images can be obtained by the application of oblique photography technology, which can determine the dangerous rock after a strong earthquake, and provide an effective means for the identification of the seismic source. The formation of "satellite-conventional aviation-high-precision drones" and other multi-source, three-dimensional, comprehensive survey methods from macro-micro-details, can provide reference for the identification of debris flow provenance in similar areas.