Assessing gully erosion susceptibility using topographic derived attributes, multi-criteria decision-making, and machine learning classifiers

Journal article

Open access

Peer reviewed

Ahmed J. Al-Bawi, Alaa M. Al-Abadi, Biswajeet Pradhan and Abdullah M. Alamri

Geomatics, natural hazards and risk, Vol.12(1), pp.3035-3062

01/01/2021

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https://doi.org/10.1080/19475705.2021.1994024View

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Title: Assessing gully erosion susceptibility using topographic derived attributes, multi-criteria decision-making, and machine learning classifiers
Creators - without role: Ahmed J. Al-Bawi - University of Basrah
Alaa M. Al-Abadi - University of Basrah
Biswajeet Pradhan - University of Technology Sydney
Abdullah M. Alamri - King Saud University
Publication Details: Geomatics, natural hazards and risk, Vol.12(1), pp.3035-3062
Identifiers: 9948676808331
Academic Unit: King Saud University
Language: English
Resource Type: Journal article