Stepwise integration of analytical hierarchy process with machine learning algorithms for landslide, gully erosion and flash flood susceptibility mapping over the North-Moungo perimeter, Cameroon

Stepwise integration of analytical hierarchy process with machine learning algorithms for landslide, gully erosion and flash flood susceptibility mapping over the North-Moungo perimeter, Cameroon

Abstract Background The Cameroon Volcanic Line (CVL) is an oceanic-continental megastructure prone to geo-hazards, including landslide/mudslide, gully erosion and flash floods targeted in this paper. Recent geospatial practices advocated a multi-hazard analysis approach supported by artificial intel...

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Bibliographic Details
Main Authors: Alfred Homère Ngandam Mfondoum, Pauline Wokwenmendam Nguet, Dieudonné Tchokona Seuwui, Jean Valéry Mefire Mfondoum, Henry Bang Ngenyam, Ibrahima Diba, Mesmin Tchindjang, Bertin Djiangoue, Ali Mihi, Sofia Hakdaoui, Roseline Batcha, Frédéric Chamberlain Lounang Tchatchouang, Igor Casimir Njombissie Petcheu, Luc Moutila Beni
Format: Article
Language:English
Published: SpringerOpen 2023-10-01
Series:Geoenvironmental Disasters
Subjects:
Analytical hierarchy process
Cameroon volcanic line
Human vulnerability
Machine learning
Multi-geoenvironmental hazards susceptibility
North-Moungo perimeter
Online Access:https://doi.org/10.1186/s40677-023-00254-5

Internet

https://doi.org/10.1186/s40677-023-00254-5

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