Modeling urban land use and land cover change using multiple machine learning algorithms in central Ethiopian cities

Abstract The rapid expansion of urban centers due to population growth has altered Land Use/Land Cover (LULC), raising environmental concerns. This study examined and forecasted the changes in LULC patterns, utilizing multi-temporal Landsat images of 1995, 2010, and 2025. The pre-processing and anal...

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Bibliografske podrobnosti

Principais autores:	Gedefa Adugna Tamene, Mitiku Badasa Moisa, Debelo Negeri Begna, Fedhasa Benti Chalchissa, Zenebe Reta Roba, Harison Kiplagat Kipkulei, Kiros Tsegay Deribew, Mengistu Muleta Gurmessa, Habtamu Tolera, Mehmet Ali Celik, Indale Niguse Dejene, Dessalegn Obsi Gemeda
Format:	Artigo
Jezik:	Inglês
Izdano:	Springer 2026-05-01
Serija:	Discover Sustainability
Teme:	Addis Ababa Land Use and Land Cover (LULC) Machine Learning Urban Expansion Sustainable Urban Planning
Online dostop:	https://doi.org/10.1007/s43621-026-03296-5
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