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![]() |
刊名 | International Journal of Geo-Information
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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 |
DOI | 10.3390/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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