Identification and Extraction of Geomorphological Features of Landslides Using Slope Units for Landslide Analysis

doi:10.3390/ijgi9040274

	Identification and Extraction of Geomorphological Features of Landslides Using Slope Units for Landslide Analysis
	Wang, Kai 3,4; Xu, Hui 1; Zhang, Shaojie 5; Wei, Fangqiang 2; Xie, Wanli 3
刊名	ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
	2020-04-01
卷号	9 期号:4 页码:18
关键词	slope unit MIA-HSU method landslide geomorphological features
DOI	10.3390/ijgi9040274
通讯作者	Xu, Hui(xuhui@cma.gov.cn)
英文摘要	A slope unit is commonly used as calculation unit for regional landslide analysis. However, the capacity of the slope unit to reflect the geomorphological features of actual landslides still needs to be verified. This is because such accurate representation is critical to ensure the physical meaning of results from subsequent landslide stability analysis. This paper presents work conducted on landslides and slope extraction in two areas in China: The Jiangjia Gully area (Yunnan Province) and Fengjie County (Chongqing Municipality). Ground-based light detection and ranging (LiDAR) data are combined with field landslide terrace measurements to allow for the comparison of slope unit extraction methods (conventional vs. MIA-HSU) in terms of their ability to reflect the geomorphological features of shallow and deep-seated landslides. The results indicate that slope unit boundaries extracted by the conventional method do not match the geomorphological variations of actual landslides, and the method is therefore deficient in meaningfully extracting slope units for further landslide analysis. By contrast, slope units obtained using the MIA-HSU method accurately reflects the geomorphological features of both shallow and deep-seated landslides, and thus provides clearer geomorphological meaning and more reasonable calculation units for regional landslide assessment and prediction.
资助项目	Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23090202] ; Key Scientific Research project of Higher Education Institutions, Henan Province, China[20A560024] ; Chongqing Municipal Bureau of Land, Resources and Housing Administration[KJ-2019054] ; Key technologies for monitoring and early warning of intelligent meteorological and geological disasters in the Three Gorges reservoir area[cstc2018jscx-mszdX0074]
WOS研究方向	Physical Geography ; Remote Sensing
语种	英语
出版者	MDPI
WOS记录号	WOS:000539535700089
内容类型	期刊论文
源URL	[http://119.78.100.138/handle/2HOD01W0/11436]
专题	中国科学院重庆绿色智能技术研究院
通讯作者	Xu, Hui
作者单位	1.China Meteorol Adm, Natl Meteorol Ctr, Beijing 100081, Peoples R China 2.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China 3.Northwest Univ, State Key Lab Continental Dynam, Dept Geol, Xian 710069, Peoples R China 4.Zhongyuan Univ Technol, Inst Civil Engn, Zhengzhou 450007, Peoples R China 5.Chinese Acad Sci, Key Lab Mt Hazards & Earth Surface Proc, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China
推荐引用方式 GB/T 7714	Wang, Kai,Xu, Hui,Zhang, Shaojie,et al. Identification and Extraction of Geomorphological Features of Landslides Using Slope Units for Landslide Analysis[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2020,9(4):18.
APA	Wang, Kai,Xu, Hui,Zhang, Shaojie,Wei, Fangqiang,&Xie, Wanli.(2020).Identification and Extraction of Geomorphological Features of Landslides Using Slope Units for Landslide Analysis.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,9(4),18.
MLA	Wang, Kai,et al."Identification and Extraction of Geomorphological Features of Landslides Using Slope Units for Landslide Analysis".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 9.4(2020):18.