NDLI: Landslide susceptibility assessment of the Youfang catchment using logistic regression

Content Provider	Springer Nature Link
Author	Bai, Shi biao Lu, Ping Wang, Jian
Copyright Year	2015
Abstract	A detailed landslide susceptibility map was produced in the Youfang catchment using logistic regression method with datasets developed for a geographic information system (GIS). Known as one of the most landslide-prone areas in China, the Youfang catchment of Longnan mountain region, which lies in the transitional area among Qinghai-Tibet Plateau, loess Plateau and Sichuan Basin, was selected as a representative case to evaluate the frequency and distribution of landslides. Statistical relationships for landslide susceptibility assessment were developed using landslide and landslide causative factor databases. Logistic regression (LR) was used to create the landslide susceptibility maps based on a series of available data sources: landslide inventory; distance to drainage systems, faults and roads; slope angle and aspect; topographic elevation and topographical wetness index, and land use. The quality of the landslide susceptibility map produced in this paper was validated and the result can be used for designing protective and mitigation measures against landslide hazards. The landslide susceptibility map is expected to provide a fundamental tool for landslide hazards assessment and risk management in the Youfang catchment.
Starting Page	816
Ending Page	827
Page Count	12
File Format	PDF
ISSN	16726316
Journal	Journal of Mountain Science
Volume Number	12
Issue Number	4
e-ISSN	19930321
Language	English
Publisher	Science Press
Publisher Date	2015-08-28
Publisher Place	Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Landslide Susceptibility map Logistic regression Geographic Information System (GIS) Youfang catchment Earth Sciences Geography (general) Environment Ecology
Content Type	Text
Resource Type	Article
Subject	Earth-Surface Processes Geography, Planning and Development Geology Global and Planetary Change Nature and Landscape Conservation

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