Landslide dynamic monitoring technology by integrating LiDAR point cloud and UAV image

doi:10.13474/j.cnki.11-2246.2024.0808

Abstract

Abstract: Landslide is a kind of natural disaster with great harm. How to monitor it efficiently and accurately has important research value and practical significance. Using the technology of LiDAR and UAV aerial photography in landslide monitoring can quickly, safely and accurately obtain ground information of landslide area. In this paper, a dynamic monitoring method of UAV image landslide based on LiDAR point cloud is proposed. Firstly, point cloud and images are used to obtain high-quality DSM reliably, and then a filtering algorithm based on irregular triangulation network and slope fusion is designed to filter out low vegetation in DSM and produce high-precision DEM. Finally, the dynamic monitoring of landslide area is realized through the difference of two DEM. In this paper, the LiDAR data and UAV image data of a slope area near Huangdeng hydropower station are used to carry out experiments. The results show that the landslide dynamic monitoring method intuitively judges the change of landslide topography and has a certain application prospect.

Key words: LiDAR data, UAV image, data fusion, landslide monitoring

CLC Number:

XU Yuxiang, HU Qingwu, DUAN Yansong, LI Jiayuan, AI Mingyao, ZHAO Pengcheng. Landslide dynamic monitoring technology by integrating LiDAR point cloud and UAV image[J]. Bulletin of Surveying and Mapping, 2024, 0(8): 42-47.

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