Giant landslide displacement analysis using a point cloud set conflict technique: a case in Xishancun landslide, Sichuan, China

Abstract

2019) Giant landslide displacement analysis using a point cloud set conflict technique: a case in ABSTRACT Landslides, threatening millions of human lives, are geological phenomena on earth, occurred frequently. An increasing number of techniques are being used to monitor landslide deformation. Among these, Light Detection and Ranging (LiDAR) stands out for its high efficiency and accuracy in displacement detection, particularly for giant landslides. In this work, we collected two temporal datasets of terrain laser scanning and proposed a flowchart for giant landslide displacement analysis using the point cloud set conflict(PCSC) technique. First, the terrestrial points were obtained by performing registration and off-terrain point filtering. Second, the landslide displacement field was acquired using the proposed method based on its surface roughness. The displacement results from our established methodological system are comparable with the ones of Interferometric Synthetic Aperture Radar (InSAR)-derived deformations. The differences estimated from two systems are at the centimetre level. Cross-analysis on the trigger factor with landslide occurred mechanism could be achieved based on the results as well. Therefore, this work provides a novel system to analyse the displacement of a giant landslide in the future study. ARTICLE HISTORY

Review on the Research and Applications of TLS in Ground Surface and Constructions Deformation Monitoring

“…The correspondence between points and surfaces is calculated [ 33 ], and the transformation matrix derived for each voxel is used to connect each point of the primary point cloud with the corresponding surface of the secondary point cloud, and the generated connections can describe the motion between point clouds. A method called PCSC (point cloud set conflict) was proposed for giant landslide displacement analysis to acquire the surface changes from two temporal point clouds [ 34 ]. In this method, the surface displacement results, including magnitude and directions, are calculated by the PCSC technique based on terrain roughness.…”