Artificial Intelligence in Geospatial Analysis for Flood Vulnerability Assessment: A Case of Dire Dawa Watershed, Awash Basin, Ethiopia

This study presents the novelty artificial intelligence in geospatial analysis for flood vulnerability assessment in Dire Dawa, Ethiopia. Flood-causing factors such as rainfall, slope, LULC, elevation NDVI, TWI, SAVI, K-factor, R-factor, river distance, geomorphology, road distance, SPI, and populat...

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Detalles Bibliográficos
Autores principales: Tamiru, Habtamu, Dinka, Megersa O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8629623/
https://www.ncbi.nlm.nih.gov/pubmed/34853568
http://dx.doi.org/10.1155/2021/6128609

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8629623/
https://www.ncbi.nlm.nih.gov/pubmed/34853568
http://dx.doi.org/10.1155/2021/6128609

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