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

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 for Lands...

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Detalles Bibliográficos
Autores principales: Tikuye, Birhan Getachew, Rusnak, Milos, Manjunatha, Busnur R., Jose, Jithin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10566803/
https://www.ncbi.nlm.nih.gov/pubmed/37829681
http://dx.doi.org/10.1002/gch2.202300155

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10566803/
https://www.ncbi.nlm.nih.gov/pubmed/37829681
http://dx.doi.org/10.1002/gch2.202300155

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