An Improved Information Value Model Based on Gray Clustering for Landslide Susceptibility Mapping-Reference-Cited by-同舟云学术

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An Improved Information Value Model Based on Gray Clustering for Landslide Susceptibility Mapping

Published:2017-01-16 Issue:1 Volume:6 Page:18
ISSN:2220-9964
Container-title:ISPRS International Journal of Geo-Information
language:en
Short-container-title:IJGI

Author:

Ba Qianqian,Chen Yumin,Deng Susu,Wu Qianjiao,Yang Jiaxin,Zhang Jingyi

Publisher

MDPI AG

Subject

Earth and Planetary Sciences (miscellaneous),Computers in Earth Sciences,Geography, Planning and Development

Link

http://www.mdpi.com/2220-9964/6/1/18/pdf

Reference62 articles.

1. Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling–Narayanghat road section in Nepal Himalaya

2. Distribution Pattern of Landslides Triggered by the 2014 Ludian Earthquake of China: Implications for Regional Threshold Topography and the Seismogenic Fault Identification

3. Comparing heuristic landslide hazard assessment techniques using GIS in the Tirajana basin, Gran Canaria Island, Spain

4. Landslide processes and landslide susceptibility analysis from an upland watershed: A case study from St. Andrew, Jamaica, West Indies

5. A procedure for landslide susceptibility zonation by the conditional analysis method

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2. Determination of alternative forest road routes using produced landslide susceptibility maps: A case study of Tonya (Trabzon), Türkiye;International Journal of Engineering and Geosciences;2024-07-28

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4. Comprehensive landslide prediction mapping using bivariate statistical models of Mizoram state of Northeast India;Journal of Spatial Science;2024-04-15

5. Geological hazards susceptibility evaluation based on multi‐year spatial–temporal evolution of assessment factors in Luding area, Sichuan Province, China;Geological Journal;2024-03-25

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