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Inundation Modeling in Data Scarce Regions

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arxiv 1910.05006 v2 pith:WS4AAWOH submitted 2019-10-11 cs.LG stat.ML

classification cs.LGstat.ML
keywords flooddataeffectiveforecastsprovidingregionsaccurateaction
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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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