Institute of Geography of the Slovak Academy of Sciences

Machine learning-based rapid emulation of pluvial flood inundation using hydraulically derived flow depths and high-resolution physical-geographical predictors

Abstract Pluvial flooding is becoming increasingly frequent and severe due to rapid land use/cover changes and changing rainfall patterns, creating an urgent need for fast and reliable flood inundation mapping. Although physically-based hydraulic models can provide highly accurat...