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Gully erosion susceptibility mapping using four machine lea..:

Chuma Basimine, Géant ; Mugumaarhahama, Yannick ; Mondo Mubalama, Jean...
https://api.elsevier.com/content/article/PII:S1474706522001887?httpAccept=text/xml. , 2022

Link: https://orbi.uliege.be/handle/2268/296579

RT Journal
T1 <Title>Gully erosion susceptibility mapping using four machine learning methods in Luzinzi watershed, eastern Democratic Republic of Congo</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftorbi:oai:orbi.ulg.ac.be:2268_296579&Exemplar=1&LAN=DE
				
A1 Chuma Basimine, Géant
A1 Mugumaarhahama, Yannick
A1 Mondo Mubalama, Jean
A1 Bagula Mukengere, Espoir
A1 Ndeko Byamungu, Adrien
A1 Lucungu, Prince Baraka
A1 Katcho, Karume
A1 Mushagalusa Nachigera, Gustave
A1 Schmitz, Serge
PB Elsevier BV
YR 2022
K1 Gully erosion
K1 GIS
K1 Machine learning
K1 Luzinzi watershed
K1 Gully driving factors
K1 Physical
K1 chemical
K1 mathematical & earth Sciences
K1 Earth sciences & physical geography
K1 Physique
K1 chimie
K1 mathématiques & sciences de la terre
K1 Sciences de la terre & géographie physique
JF https://api.elsevier.com/content/article/PII:S1474706522001887?httpAccept=text/xml
LK http://dx.doi.org/https://orbi.uliege.be/handle/2268/296579
DO https://orbi.uliege.be/handle/2268/296579
SF ELIB - SuUB Bremen

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