Machine Learning Based Flood Risk Modeling Using Features from Satellite, Socioeconomic, Geographic, and Building Data
Due to the effects of climate change coupled with increased urbanization, many cities will be experiencing more frequent and intense flooding in the future. As a result, it would be very beneficial for urban planners to have a low-cost and efficient modeling tool that can determine the flood risk at...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2023
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| Online Access: | https://hdl.handle.net/1721.1/150182 |
