Scalable flood inundation mapping using deep convolutional networks and traffic signage
Abstract Floods are one of the most prevalent and costliest natural hazards globally. The safe transit of people and goods during a flood event requires fast and reliable access to flood depth information with spatial granularity comparable to the road network. In this research, we propose to use cr...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2023-04-01
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| Series: | Computational Urban Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s43762-023-00090-1 |