ORIGINAL RESEARCH article
Front. Remote Sens.
Sec. Lidar Sensing
Volume 6 - 2025 | doi: 10.3389/frsen.2025.1566077
Application of high-precision terrestrial light detection and ranging to determine the dislocation geomorphology of Yumen Fault, China
Provisionally accepted- 1The Second Monitoring and Application Center, China Earthquake Administration, Xi'an, China
- 2National Institute of Natural Hazards, Ministry of Emergency Management (China), Beijing, China
- 3Dalian Earthquake Monitoring Center, China Earthquake Administration, Dalian, China
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Ground-based three-dimensional (3D) light detection and ranging (LiDAR) are used to collect highdensity point cloud of terrain for high-precision topographic survey, remove information on surface vegetation, and allow for the study of fault rupture. The west side of the Yumen Fault in China characterized by a thrust nappe selected as the study area, and information on the typical fault landform in this area. Then fundamental issues such as ground-based 3D LiDAR for field collection, data processing, and 3D fault modeling were analyzed. Finally, the high-precision topography of the surface rupture in this area was obtained, revealing the typical dextral strike-slip dislocation along the fault zone. In the process of data processing, the iterative closet point (ICP) and the optimal point cloud density were used to improve the high efficiency and high precision of data processing. Finally, based on point cloud data processing, the digital elevation model (DEM) with a spatial resolution of 0.1 m was obtained for the study area, and to classify the geomorphic unit, obtain information on the fault scarp and fault broken gully terrain, and quantitatively study and analyze the horizontal dislocation of gully and displacement distance of fault scarp. This process revealed several seismic events along the fault zone, accompanied by a typical dextral strike-slip phenomenon.
Keywords: lidar1, Point Cloud2, Iterative Closet Point3, Point Cloud Density4, Yumen Fault5
Received: 24 Jan 2025; Accepted: 23 Apr 2025.
Copyright: © 2025 Kang, Jiao, Ji, Zeng and Chen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Shuai Kang, The Second Monitoring and Application Center, China Earthquake Administration, Xi'an, 710054, China
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