Publication Deep Learning methods for flood mapping

European Geosciences Union (EGU)'s Hydrology and Earth System Sciences published work of AidroLab’s PhD student Roberto Bentivoglio. With co-authors Elvin Isufi, Bas Jonkman and Riccardo Taormina he wrote a critical review on Deep Learning methods for flood mapping, where they identified outstanding gaps and future research directions.

Deep learning techniques have been increasingly used in flood management to overcome the limitations of accurate, yet slow, numerical models and to improve the results of traditional methods for flood mapping. In this paper, they review 58 recent publications to outline the state of the art of the field, identify knowledge gaps, and propose future research directions. The review focuses on the type of deep learning models used for various flood mapping applications, the flood types considered, the spatial scale of the studied events, and the data used for model development.

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Read this publication here: https://hess.copernicus.org/articles/26/4345/2022/