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Urban Flood-Depth Estimation from Crowdsourced Image–Text Data Using Reference-Object Reasoning and Conditional Fusion
Urban pluvial flooding is a rapidly evolving disaster that requires timely and fine-grained water-depth information for emergency response and impact assessment. However, street-scale water-depth observations are often difficult to obtain during short-duration flood events due to limited coverage and insufficient spati...