中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Identification and Extraction of Geomorphological Features of Landslides Using Slope Units for Landslide Analysis

文献类型:期刊论文

作者Wang K(王凯)4; Xu H(徐辉)2; Zhang SJ(张少杰)1; Wei FQ(韦方强)3; Xie, W.L.4
刊名International Journal of Geo-Information
出版日期2020
卷号9期号:4页码:274
关键词Slope Unit Mia-hsu Method Landslide Geomorphological Features
ISSN号2220-9964
DOI10.3390/ijgi9040274
产权排序1
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.

WOS关键词SHALLOW LANDSLIDES ; STABILITY ; GIS ; DELINEATION
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
WOS记录号WOS:000539535700089
出版者MDPI
资助机构Strategic Priority Research Program of the Chinese Academy of Sciences ; Key Scientific Research project of Higher Education Institutions, Henan Province, China ; Chongqing Municipal Bureau of Land, Resources and Housing Administration ; Key technologies for monitoring and early warning of intelligent meteorological and geological disasters in the Three Gorges reservoir area
源URL[http://ir.imde.ac.cn/handle/131551/34112]  
专题成都山地灾害与环境研究所_山地灾害与地表过程重点实验室
通讯作者Xu H(徐辉)
作者单位1.山地所
2.国家气象中心
3.重庆院
4.西北大学
推荐引用方式
GB/T 7714
Wang K,Xu H,Zhang SJ,et al. Identification and Extraction of Geomorphological Features of Landslides Using Slope Units for Landslide Analysis[J]. International Journal of Geo-Information,2020,9(4):274.
APA Wang K,Xu H,Zhang SJ,Wei FQ,&Xie, W.L..(2020).Identification and Extraction of Geomorphological Features of Landslides Using Slope Units for Landslide Analysis.International Journal of Geo-Information,9(4),274.
MLA Wang K,et al."Identification and Extraction of Geomorphological Features of Landslides Using Slope Units for Landslide Analysis".International Journal of Geo-Information 9.4(2020):274.

入库方式: OAI收割

来源:成都山地灾害与环境研究所

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