Land Use and Land Cover Change Detection Using the Random Forest Approach: The Case of The Upper Blue Nile River Basin, Ethiopia

Abstract Monitoring land use change dynamics is critical for tackling food security, climate change, and biodiversity loss on a global scale. This study is designed to classify land use and land cover in the upper Blue Nile River Basin (BNRB) using a random forest (RF) algorithm. The Landsat images...

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Principais autores:	Birhan Getachew Tikuye, Milos Rusnak, Busnur R. Manjunatha, Jithin Jose
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Wiley 2023-10-01
Colecção:	Global Challenges
Assuntos:	change detection land use/land cover landsat random forest upper Blue Nile River basin
Acesso em linha:	https://doi.org/10.1002/gch2.202300155
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