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arXiv · 1910.05006

Inundation Modeling in Data Scarce Regions

Zvika Ben-Haim·Vladimir Anisimov·Aaron Yonas·Varun Gulshan·Yusef Shafi·Stephan Hoyer·Sella Nevo
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Abstract

Flood forecasts are crucial for effective individual and governmental protective action. The vast majority of flood-related casualties occur in developing countries, where providing spatially accurate forecasts is a challenge due to scarcity of data and lack of funding. This paper describes an operational system providing flood extent forecast maps covering several flood-prone regions in India, with the goal of being sufficiently scalable and cost-efficient to facilitate the establishment of effective flood forecasting systems globally.

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Zvika Ben-Haim, Vladimir Anisimov, Aaron Yonas, Varun Gulshan, Yusef Shafi, Stephan Hoyer, Sella Nevo. 2019-10-11. Inundation Modeling in Data Scarce Regions. https://arxiv.org/abs/1910.05006

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