Multitemporal UAV-based photogrammetry for landslide detection and monitoring in a large area:a case study in the Heifangtai terrace in the Loess Plateau of China  

作　　者：XU Qiang LI Wei-le JU Yuan-zhen DONG Xiu-jun PENG Da-lei 

机构地区：[1]State Key Laboratory of Geohazard Prevention and Geoenvironment Protection,Chengdu University of Technology,Chengdu 610059,China

出　　处：《Journal of Mountain Science》2020年第8期1826-1839,共14页山地科学学报（英文）

基　　金：financially supported by the National Natural Science Foundation of China(Grant Nos.41521002,41941019,41630640);the Major R&D projects of Sichuan Science and Technology Plan(Grant No.2018SZ0339);the State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Independent Research Project(Grant No.SKLGP2014Z004)。

摘　　要：With high spatial resolution,on-demand-flying ability,and the capacity for obtaining threedimensional measurements,unmanned aerial vehicle(UAV)photogrammetry is widely used for detailed investigations of single landslides,but its effectiveness for landslide detection and monitoring in a large area needs to be investigated.The Heifangtai terrace in the Loess Plateau of China is a loess terrace that is extremely susceptible to irrigation-induced loess landslides.This paper used UAV-based photogrammetry for a series of highresolution images spanning over 30 months for landslide detection and monitoring of the terrace with an area of 32 km^2.Dense and evenly distributed ground control points were established and measured to ensure the high accuracy of the photogrammetry results.The structure-from-motion(Sf M)technique was used to convert overlapping images into orthographic images,3D point clouds,digital surface models(DSMs)and mesh models.Using multitemporal differential mesh models,landslide vertical movements and potential landslides were detected and monitored.The results indicate that a combination of UAV-based orthophotos and differential mesh models can be used for flexible and accurate detection and monitoring of potential loess landslides in a large area.

关 键 词：Unmanned Aerial Vehicle Loess Plateau Landslide detection Landslide monitoring Differential mesh model Vertical movement 

分 类 号：P231[天文地球—摄影测量与遥感] P642.22[天文地球—测绘科学与技术]