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Street to Cloud: Improving Flood Maps With Crowdsourcing and Semantic Segmentation
To address the mounting destruction caused by floods in climate-vulnerable regions, we propose Street to Cloud, a machine learning pipeline for incorporating crowdsourced ground truth data into the segmentation of satellite imagery of floods.
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