Advancements in mapping landslide susceptibility in Bafoussam and its surroundings area using multi-criteria decision analysis, statistical methods, and machine learning models-Reference-Cited by-同舟云学术

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Advancements in mapping landslide susceptibility in Bafoussam and its surroundings area using multi-criteria decision analysis, statistical methods, and machine learning models

Published:2024-05 Issue: Volume:213 Page:105237
ISSN:1464-343X
Container-title:Journal of African Earth Sciences
language:en
Short-container-title:Journal of African Earth Sciences

Author:

Segue Willy Stephane,Njilah Isaac Konfor,Fossi Donald Hermann^ORCID,Nsangou Daouda

Publisher

Elsevier BV

Reference117 articles.

1. Instabilité de terrain dans les hautes terres de l'Ouest Cameroun : caractérisation géologique et géotechnique du glissement de terrain de Kékem;Aboubakar;Bull. Inst. Sci. Sect. Sci. Terre,2013

2. Landslide susceptibility mapping using machine learning: a literature survey;Ado;Rem. Sens.,2022

3. Assessment of landslide susceptibility for Meghalaya (India) using bivariate (frequency ratio and Shannon entropy) and multi-criteria decision analysis (AHP and fuzzy-AHP) models;Agrawal;Earth,2022

4. Land use and land cover classification using machine learning algorithms in google earth engine;Ahmed;Earth Sci. Inform.,2023

5. Comparing classical statistic and machine learning models in landslide susceptibility mapping in Ardanuc (Artvin), Turkey;Akinci;Nat. Hazards,2021

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