A social media driven model for evaluating coupled flood damage and resilience at a fine scale
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Researchers are developing models to evaluate flood damage and resilience, particularly in urban areas, using various approaches such as social media, deep learning, and machine learning. These models aim to assess flood susceptibility, simulate compound flood scenarios, and investigate the impacts of climate and land cover change on flooding. The studies appear to focus on different locations, including coastal areas and specific watersheds, with the goal of improving urban flood governance and resilience.
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