An efficient method of monitoring slow-moving landslides with long-range terrestrial laser scanning: a case study of the Dashu landslide in the Three Gorges Reservoir Region, China
文献类型:期刊论文
作者 | Huang, Ronggang1; Jiang, Liming1,2; Shen, Xiang1; Dong, Zhen3; Zhou, Qiaoli1; Yang, Bisheng3; Wang, Hansheng1 |
刊名 | LANDSLIDES
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出版日期 | 2019-04-01 |
卷号 | 16期号:4页码:839-855 |
关键词 | Long-range TLS Co-registration Deformation calculation Dashu landslide Three Gorges Reservoir Region |
ISSN号 | 1612-510X |
DOI | 10.1007/s10346-018-1118-6 |
英文摘要 | Accurate measurement of the small pre-failure deformation plays a crucial role in landslide early warning systems. Recently, terrestrial laser scanning (TLS) has been applied to detect the small pre-failure deformation, while the processing of TLS point clouds is still a non-trivial issue, especially for long-range TLS. Therefore, we propose an efficient method to detect the small pre-failure deformation of slow-moving landslides by the use of long-range TLS. To precisely align the point clouds of different epochs, a hybrid-weighted iterative closest point (HWICP) algorithm is proposed after the coarse registration, where the influences of several factors (i.e., deformed areas, point density variations, and observation errors) on the inconsistency of the point correspondence are quantitatively estimated. An adaptive local cloud-to-mesh method (ALC2M) is then proposed for the deformation calculation in the complex topography by defining a local reference frame and removing poor matches between ground points of the two epochs. To validate the performance of the proposed method, the Dashu landslide of the Three Gorges Reservoir Region was selected as a case study. The TLS-derived deformation showed that the landslide was stable in most areas over the study period, except for two abnormal deformation zones with maximum deformations of similar to 6cm and similar to 3cm, which agreed well with the ground-based synthetic aperture radar interferometry (GB-InSAR) measurements. A statistical analysis of the stable areas around the landslide illustrated a low uncertainty for the TLS-derived deformation of 6.3mm. Therefore, the use of the long-range TLS was an efficient way to monitor slow-moving landslides. Moreover, extensive comparative experiments about the co-registration and deformation calculation were conducted, and the results showed that HWICP and ALC2M achieved superior performances. |
资助项目 | National Key R&D Program of China[2018YFC1406102] ; National Key R&D Program of China[2017YFA0603103] ; China Postdoctoral Science Found[2017M622553] ; NSFC project[41801398] ; NSFC project[41590854] ; NSFC project[41531177] ; NSFC project[41701530] ; Key Research Program of Frontier Sciences, CAS[QYZDB-SSW-DQC027] ; Key Research Program of Frontier Sciences, CAS[QYZDJ-SSW-DQC042] |
WOS研究方向 | Engineering ; Geology |
语种 | 英语 |
WOS记录号 | WOS:000463099000014 |
出版者 | SPRINGER HEIDELBERG |
源URL | [http://202.127.146.157/handle/2RYDP1HH/7203] ![]() |
专题 | 中国科学院武汉植物园 |
通讯作者 | Jiang, Liming |
作者单位 | 1.Chinese Acad Sci, Inst Geodesy & Geophys, State Key Lab Geodesy & Earths Dynam, Wuhan, Hubei, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan, Hubei, Peoples R China |
推荐引用方式 GB/T 7714 | Huang, Ronggang,Jiang, Liming,Shen, Xiang,et al. An efficient method of monitoring slow-moving landslides with long-range terrestrial laser scanning: a case study of the Dashu landslide in the Three Gorges Reservoir Region, China[J]. LANDSLIDES,2019,16(4):839-855. |
APA | Huang, Ronggang.,Jiang, Liming.,Shen, Xiang.,Dong, Zhen.,Zhou, Qiaoli.,...&Wang, Hansheng.(2019).An efficient method of monitoring slow-moving landslides with long-range terrestrial laser scanning: a case study of the Dashu landslide in the Three Gorges Reservoir Region, China.LANDSLIDES,16(4),839-855. |
MLA | Huang, Ronggang,et al."An efficient method of monitoring slow-moving landslides with long-range terrestrial laser scanning: a case study of the Dashu landslide in the Three Gorges Reservoir Region, China".LANDSLIDES 16.4(2019):839-855. |
入库方式: OAI收割
来源:武汉植物园
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