Application of Unmanned Aerial Vehicle Remote Sensing on Dangerous Rock Mass Identification and Deformation Analysis:Case Study of a High-Steep Slope in an Open Pit Mine  

作　　者：Wenjie Du Qian Sheng Xiaodong Fu Jian Chen Jingyu Kang Xin Pang Daochun Wan Wei Yuan 

机构地区：[1]State Key Laboratory of Geomechanics and Geotechnical Engineering,Institute of Rock and Soil Mechanics,Chinese Academy of Sciences,Wuhan 430071,China [2]School of Engineering Science,University of Chinese Academy of Sciences,Beijing 100049,China [3]China-Pakistan Joint Research Center on Earth Sciences,CAS-HEC,Islamabad 45320,Pakistan [4]Panzhihua Iron and Steel Group Mining Co.,Ltd.,Panzhihua 617000,China [5]Key Laboratory of Roads and Railway Engineering Safety Control of Ministry of Education,Shijiazhuang Tiedao University,Shijiazhuang 050043,China

出　　处：《Journal of Earth Science》2025年第2期750-763,共14页地球科学学刊(英文版)

基　　金：financially supported by the Youth Innovation Promotion Association CAS(No.2021325);the National Natural Science Foundation of China(Nos.52179117,U21A20159);the Research project of Panzhihua Iron and Steel Group Mining Co.,Ltd.(No.2021-P6-D2-05)。

摘　　要：Source identification and deformation analysis of disaster bodies are the main contents of high-steep slope risk assessment,the establishment of high-precision model and the quantification of the fine geometric features of the slope are the prerequisites for the above work.In this study,based on the UAV remote sensing technology in acquiring refined model and quantitative parameters,a semi-automatic dangerous rock identification method based on multi-source data is proposed.In terms of the periodicity UAV-based deformation monitoring,the monitoring accuracy is defined according to the relative accuracy of multi-temporal point cloud.Taking a high-steep slope as research object,the UAV equipped with special sensors was used to obtain multi-source and multitemporal data,including high-precision DOM and multi-temporal 3D point clouds.The geometric features of the outcrop were extracted and superimposed with DOM images to carry out semi-automatic identification of dangerous rock mass,realizes the closed-loop of identification and accuracy verification;changing detection of multi-temporal 3D point clouds was conducted to capture deformation of slope with centimeter accuracy.The results show that the multi-source data-based semiautomatic dangerous rock identification method can complement each other to improve the efficiency and accuracy of identification,and the UAV-based multi-temporal monitoring can reveal the near real-time deformation state of slopes.

关 键 词：high-steep slope UAV remote sensing dangerous rock identification multi-temporal monitoring multi-source data fusion engineering geology 

分 类 号：P642.22[天文地球—工程地质学]