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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| Autors principals: | , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Elsevier
2024-08-01
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| Col·lecció: | City and Environment Interactions |
| Matèries: | |
| Accés en línia: | http://www.sciencedirect.com/science/article/pii/S2590252024000114 |
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