A landslide monitoring method using data from unmanned aerial vehicle and terrestrial laser scanning with insufficient and inaccurate ground control points

作     者：Jiawen Zhou Nan Jiang Congjiang Li Haibo Li Jiawen Zhou;Nan Jiang;Congjiang Li;Haibo Li

作者机构：State Key Laboratory of Hydraulics and Mountain River EngineeringSichuan UniversityChengdu610065China College of Water Resources and HydropowerSichuan UniversityChengdu610065China 

出 版 物：《Journal of Rock Mechanics and Geotechnical Engineering》 (岩石力学与岩土工程学报（英文）)

年 卷 期：2024年第16卷第10期

页      面：4125-4140页

核心收录：

学科分类：08[工学] 080104[工学-工程力学] 0815[工学-水利工程] 0801[工学-力学（可授工学、理学学位）] 

基　　金：support of the National Natural Science Foundation of China(Grant Nos.U2240221 and 41977229) the Sichuan Youth Science and Technology Innovation Research Team Project(Grant No.2020JDTD0006) 

主　　题：Landslide monitoring Data fusion Terrestrial laser scanning(TLS) Unmanned aerial vehicle(UAV) Model reconstruction 

摘      要：Non-contact remote sensing techniques,such as terrestrial laser scanning(TLS)and unmanned aerial vehicle(UAV)photogrammetry,have been globally applied for landslide monitoring in high and steep mountainous *** techniques acquire terrain data and enable ground deformation ***,practical application of these technologies still faces many difficulties due to complex terrain,limited access and dense *** instance,monitoring high and steep slopes can obstruct the TLS sightline,and the accuracy of the UAV model may be compromised by absence of ground control points(GCPs).This paper proposes a TLS-and UAV-based method for monitoring landslide deformation in high mountain valleys using traditional real-time kinematics(RTK)-based control points(RCPs),low-precision TLS-based control points(TCPs)and assumed control points(ACPs)to achieve high-precision surface deformation analysis under obstructed vision and impassable *** effects of GCP accuracy,GCP quantity and automatic tie point(ATP)quantity on the accuracy of UAV modeling and surface deformation analysis were comprehensively *** results show that,the proposed method allows for the monitoring accuracy of landslides to exceed the accuracy of the GCPs themselves by adding additional low-accuracy *** proposed method was implemented for monitoring the Xinhua landslide in Baoxing County,China,and was validated against data from multiple sources.