A machine learning-based prediction-to-map framework for rapid and accurate spatial flood prediction
Abstract Traditional flood prediction approaches either rely on numerical models, which are accurate but computationally intensive, or machine learning models, which are faster but limited by data availability. To address these limitations, we developed a Prediction-to-Map (P2M) framework that combi...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
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| Series: | npj Natural Hazards |
| Online Access: | https://doi.org/10.1038/s44304-025-00122-2 |
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