Zobrazeno 1 - 2 of 2 pro vyhledávání: '"Ahmed J. Al-Bawi"'
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Akademický článek
Assessing gully erosion susceptibility using topographic derived attributes, multi-criteria decision-making, and machine learning classifiers
Autor: Ahmed J. Al-Bawi, Alaa M. Al-Abadi, Biswajeet Pradhan, Abdullah M. Alamri
Publikováno v: Geomatics, Natural Hazards & Risk, Vol 12, Iss 1, Pp 3035-3062 (2021)
Gully erosion is an erosive process that contributes considerably to the shape of the earth’s surface and is a major contributor to land degradation and soil loss. This study applied a methodology for mapping gully erosion susceptibility using only
Externí odkaz: https://doaj.org/article/a4f3cee1e20f41c5979b521a89d6b7af
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2
Assessing gully erosion susceptibility using topographic derived attributes, multi-criteria decision-making, and machine learning classifiers
Autor: Biswajeet Pradhan, Abdullah Al-Amri, Ahmed J. Al-Bawi, Alaa M. Al-Abadi
Publikováno v: Geomatics, Natural Hazards & Risk, Vol 12, Iss 1, Pp 3035-3062 (2021)
Gully erosion is an erosive process that contributes considerably to the shape of the earth’s surface and is a major contributor to land degradation and soil loss. This study applied a methodology for mapping gully erosion susceptibility using only
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95379bb44517805b9d2266c169dbd07a
https://doaj.org/article/a4f3cee1e20f41c5979b521a89d6b7af
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