• Corpus ID: 226964894

Street to Cloud: Improving Flood Maps With Crowdsourcing and Semantic Segmentation

@article{Sunkara2020StreetTC,
  title={Street to Cloud: Improving Flood Maps With Crowdsourcing and Semantic Segmentation},
  author={Veda Sunkara and Matthew Purri and B. L. Saux and Jennifer Adams},
  journal={ArXiv},
  year={2020},
  volume={abs/2011.08010}
}
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. We propose this approach as a solution to the labor-intensive task of generating high-quality, hand-labeled training data, and demonstrate successes and failures of different plausible crowdsourcing approaches in our model. Street to Cloud leverages… 

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