Artificial neural network for flood susceptibility mapping in Bangladesh

The objective of the research is to investigate flood susceptibility in the Sylhet division of Bangladesh. Eight influential factors (i.e., elevation, slope, aspect, curvature, TWI, SPI, roughness, and LULC) were applied as inputs to the model. In this work, 1280 samples were taken at different loca...

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Detalles Bibliográficos
Autores principales: Rudra, Rhyme Rubayet, Sarkar, Showmitra Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10220377/
https://www.ncbi.nlm.nih.gov/pubmed/37251459
http://dx.doi.org/10.1016/j.heliyon.2023.e16459

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10220377/
https://www.ncbi.nlm.nih.gov/pubmed/37251459
http://dx.doi.org/10.1016/j.heliyon.2023.e16459

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