Detection and Analysis of Surface Characteristics of Debris Flow Gully Landslide Based on TLS Technology

Abstract

Landslides distributed in debris flow gully are the main sources of debris flow disasters, the dynamic changes of these landslides play a very important role in debris flow disasters. How to efficiently and accurately detect and analyze landslide bodies in debris flow gully is an important issue in debris flow disaster monitoring and early warning research. In view of the limitations of traditional “point” type landslide deformation detection and analysis, this paper takes a typical associated landslide body of Dabaini river debris flow gully in Xiaojiang River Basin in Yunnan Province as the test object, and introduces the TLS technology’s “surface” type detection method. Firstly, two periods of test area with the scanning point cloud data as the foundation, the data preprocessing technology flow of I-Site Studio point cloud processing platform is introduced and explored; Then, the typical geomorphological features such as ridge and valley feature points and feature lines were extracted based on point cloud data and the changes of feature points and lines will be compared and analyzed; Finally, the deformation analysis of the landslide body is carried out based on the DEM comparison method. The application of ground TLS technology to the monitoring and analysis of debris flow landslide deformation is conducive to the comprehensive, intuitive and multi-faceted deformation detection of debris flow landslide body.