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A novel machine learning tool for current and future flood ..:
Amiri, Afshin
;
Soltani, Keyvan
;
Ebtehaj, Isa
.
Journal of Hydrology. 632 (2024) - p. 130936 , 2024
Link:
https://doi.org/10.1016/j.jhydrol.2024.130936
RT Journal T1
A novel machine learning tool for current and future flood susceptibility mapping by integrating remote sensing and geographic information systems
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.jhydrol.2024.130936&Exemplar=1&LAN=DE A1 Amiri, Afshin A1 Soltani, Keyvan A1 Ebtehaj, Isa A1 Bonakdari, Hossein PB Elsevier BV YR 2024 SN 0022-1694 JF Journal of Hydrology VO 632 SP 130936 LK http://dx.doi.org/https://doi.org/10.1016/j.jhydrol.2024.130936 DO https://doi.org/10.1016/j.jhydrol.2024.130936 SF ELIB - SuUB Bremen
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