Landslide Susceptibility Mapping Using Weighted Linear Combination: A Case of Gucheng Town in Ningxia, China-Reference-Cited by-同舟云学术

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Landslide Susceptibility Mapping Using Weighted Linear Combination: A Case of Gucheng Town in Ningxia, China

Published:2022-12-16 Issue:2 Volume:41 Page:1247-1273
ISSN:0960-3182
Container-title:Geotechnical and Geological Engineering
language:en
Short-container-title:Geotech Geol Eng

Author:

Li Huan,Mao Zhengjun^ORCID,Sun Jiewen,Zhong Jiaxin,Shi Shuojie

Funder

Science and Technology Department of NingXia

Science and Technology Department of Shaanxi

Science and Technology Department of Ningxia

Publisher

Springer Science and Business Media LLC

Subject

Geology,Soil Science,Geotechnical Engineering and Engineering Geology,Architecture

Link

https://link.springer.com/content/pdf/10.1007/s10706-022-02333-0.pdf

Reference123 articles.

1. Abdel-Rahman EM, Ahmed FB, Ismail R (2013) Random forest regression and spectral band selection for estimating sugarcane leaf nitrogen concentration using EO-1 Hyperion hyperspectral data. Int J Remote Sens 34(2):712–728. https://doi.org/10.1080/01431161.2012.713142

2. Abdı A, Bouamrane A, Karech T, Dahri N, Kaouachi A (2021) Landslide susceptibility mapping using GIS-based fuzzy logic and the analytical hierarchical processes approach: a case study in constantine (North-East Algeria). Geotech Geol Eng 39(8):5675–5691. https://doi.org/10.1007/s10706-021-01855-3

3. Abedini M, Tulabi S (2018) Assessing LNRF, FR, and AHP models in landslide susceptibility mapping index: a comparative study of Nojian watershed in Lorestan province, Iran. Environ Earth Sci 77:405. https://doi.org/10.1007/s12665-018-7524-1

4. Adnan MSG, Rahman MS, Ahmed N, Ahmed B, Rabbi MF, Rahman RM (2020) Improving spatial agreement in machine learning-based landslide susceptibility mapping. Remote Sens 12(20):3347. https://doi.org/10.3390/rs12203347

5. Alviolicor M, Guzzetti F, Marchesini I (2020) Parameter-free delineation of slope units and terrain subdivision of Italy. Geomorphology 358:107124. https://doi.org/10.1016/j.geomorph.2020.107124

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1. GIS-based modeling of landslide susceptibility zonation by integrating the frequency ratio and objective–subjective weighting approach: a case study in a tropical monsoon climate region;Frontiers in Environmental Science;2023-05-30

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