[A-HW38] Global Flooding in a Changing World: Trends, Drivers, and Major Open Questions

[AHW38-P01] Prediction of pluvial flood inundation using eXtreme Gradient Boosting model trained on hydraulic flood maps

*Matej Vojtek¹, Dávid Držík², Gabriela Repaská¹, Anna Tirpáková³, Katarína Vilinová¹, Jana Vojteková¹ (1. Department of Geography, Geoinformatics and Regional Development, Faculty of Natural Sciences and Informatics, Constantine the Philosopher University in Nitra, Nitra, Slovakia , 2. Department of Informatics, Faculty of Natural Sciences and Informatics, Constantine the Philosopher University in Nitra, Nitra, Slovakia, 3. Department of Mathematics, Faculty of Natural Sciences and Informatics, Constantine the Philosopher University in Nitra, Nitra, Slovakia)

Keywords:pluvial flooding, machine learning, high-resolution spatial data, hydraulic flood maps