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...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:npj Natural Hazards
المؤلفون الرئيسيون: Daoyang Bao, Z. George Xue, Matthew Hiatt, Kehui Xu, Courtney K. Harris, Jill C. Trepanier
التنسيق: مقال
اللغة:الإنجليزية
منشور في: Nature Portfolio 2025-07-01
الوصول للمادة أونلاين:https://doi.org/10.1038/s44304-025-00122-2