• Corpus ID: 237635045

Feasibility study of urban flood mapping using traffic signs for route optimization

@article{Kharazi2021FeasibilitySO,
  title={Feasibility study of urban flood mapping using traffic signs for route optimization},
  author={B. Kharazi and Diya Li and Zhe Zhang and Amir H. Behzadan},
  journal={ArXiv},
  year={2021},
  volume={abs/2109.11712}
}
Water events are the most frequent and costliest climate disasters around the world. In the U.S., an estimated 127 million people who live in coastal areas are at risk of substantial home damage from hurricanes or flooding. In flood emergency management, timely and effective spatial decision-making and intelligent routing depend on flood depth information at a fine spatiotemporal scale. In this paper, crowdsourcing is utilized to collect photos of submerged stop signs, and pair each photo with… 

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