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The damaged taxi in the middle of the flood

For situational awareness and decision assistance, fine-grained flooding maps that are dynamically updated are essential. Traditional approaches, however, might not be able to keep up with the rapidly changing urban hydrological environment. Examples include eyewitness accounts, remote sensing, and hydrology models. Collective observations made possible by the availability of crowdsourced data, such as social media data, enable the fast and cost-effective monitoring of flood hazards. However, due to sampling bias and limited spatiotemporal resolution, such data may not be accurate.

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