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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| 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 |