3D Rock Structure Digital Characterization Using Airborne LiDAR and Unmanned Aerial Vehicle Techniques for Stability Analysis of a Blocky Rock Mass Slope

Airborne light detection and ranging (LiDAR) unmanned aerial vehicle-structure from motion (UAV-SfM) provide point clouds with unprecedented resolution accuracy that are well suited for the digital characterization of rock outcrops where direct contact measurements cannot be obtained due to terrain or safety constraints. Today, however, how better apply these techniques practice geostructural analysis is a topic research must further explored. This study presents processing procedure extracting three-dimensional (3D) structure parameters directly using open-source software distinct element code-assisted (3DEC) simulation slope failure based on carbonate cliffs in Jiuzhaigou Scenic Area. The involves (1) different remote sensing techniques; (2) Hough transform estimate normals hue, saturation, value (HSV) rendering unstructured clouds; (3) automatically clustering set-based (4) estimating geometric parameters; (5) performing subsequent stability parameters. results show integrating computing can quick way engineers assess blocky masses.