Urban growth assessment using machine learning algorithms, GIS techniques, and its impact on biodiversity: The case of Sululta sub-city, Central Oromia, Ethiopia

Ecological services in metropolitan areas are degrading more quickly due to changes in LULC brought about by urban expansion. To make a sustainable choice about the ideal location, however, merging the existing simulation approach with LULC optimization approaches involves several intricate procedur...

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Autori principali:	Birhanu Tadesa Edosa, Mosissa Geleta Erena, Bayisa Nagasa Wolteji, Guta Tolossa Werati, Milkessa Dangia Nagasa
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Elsevier 2024-08-01
Serie:	City and Environment Interactions
Soggetti:	Biodiversity Land use/Land cover change Support Vector Machine Markov chain Urbanization
Accesso online:	http://www.sciencedirect.com/science/article/pii/S2590252024000114
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