From rainfall to rice-field inundation: an event-based machine learning framework for flood early warning in data-sparse river basins

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dc.creatorWei, Xiaojing
dc.creatorUrfels, Anton
dc.creatorJaimes, Diana
dc.creatorAgudelo, Diego Fernando
dc.creatorLlanos Herrera, Lizeth
dc.creatorGiraldo Mendez, Diana Carolina
dc.creatorRaviz, Jeny
dc.creatorSwaans, Cornelis
dc.creatorGhosh, Aniruddha
dc.creatorLaborte, Alice G.
dc.date2025-12-31
dc.date2026-02-24T11:51:42Z
dc.date2026-02-24T11:51:42Z
dc.date.accessioned2026-06-27T13:28:46Z
dc.identifierhttps://hdl.handle.net/10568/181830
dc.identifier.urihttp://hdl.handle.net/123456789/60677
dc.languageen
dc.publisherElsevier
dc.rightsLimited Access
dc.sourceWei, X.; Urfels, A.; Jaimes, D.; Agudelo, D.F.; Llanos Herrera, L.; Giraldo Mendez, D.C.; Raviz, J.; Swaans, C.; Ghosh, A.; Laborte, A.G. (2025) From rainfall to rice-field inundation: an event-based machine learning framework for flood early warning in data-sparse river basins. Journal of Hydrology [PrePrint] ISSN: 0022-1694
dc.subjectflooding
dc.subjectmachine learning
dc.subjectflooding forecasting
dc.subjectrice fields
dc.titleFrom rainfall to rice-field inundation: an event-based machine learning framework for flood early warning in data-sparse river basins
dc.typePreprint

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