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

doi:10.1007/s11629-020-6064-9

CORC > 成都山地灾害与环境研究所 > 中国科学院水利部成都山地灾害与环境研究所 > Journal of Mountain Science > Journal of Mountain Science-2020 > Vol17 No.8

	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
	Xu, Qiang; Li, Wei-le; Ju, Yuan-zhen; Dong, Xiu-jun; Peng, Da-lei
刊名	JOURNAL OF MOUNTAIN SCIENCE
	2020
卷号	17 期号:8 页码:1826-1839
关键词	Unmanned Aerial Vehicle Loess Plateau Landslide detection Landslide monitoring Differential mesh model Vertical movement
ISSN号	1672-6316
DOI	10.1007/s11629-020-6064-9
文献子类	Article
英文摘要	With high spatial resolution, on-demand-flying ability, and the capacity for obtaining three-dimensional 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 (SfM) 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.
电子版国际标准刊号	1993-0321
语种	英语
WOS记录号	WOS:000552203800002
内容类型	期刊论文
源URL	[http://ir.imde.ac.cn/handle/131551/50459]
专题	Journal of Mountain Science_Journal of Mountain Science-2020_Vol17 No.8
推荐引用方式 GB/T 7714	Xu, Qiang,Li, Wei-le,Ju, Yuan-zhen,et al. 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[J]. JOURNAL OF MOUNTAIN SCIENCE,2020,17(8):1826-1839.
APA	Xu, Qiang,Li, Wei-le,Ju, Yuan-zhen,Dong, Xiu-jun,&Peng, Da-lei.(2020).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.JOURNAL OF MOUNTAIN SCIENCE,17(8),1826-1839.
MLA	Xu, Qiang,et al."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".JOURNAL OF MOUNTAIN SCIENCE 17.8(2020):1826-1839.