Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 25, issue 11
Articles | Volume 25, issue 11
https://doi.org/10.5194/nhess-25-4361-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-25-4361-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 25, issue 11
Research article
 | 
05 Nov 2025
Research article |  | 05 Nov 2025

Identification of nighttime urban flood inundation extent using deep learning

Jiaquan Wan, Xing Wang, Yannian Cheng, Cuiyan Zhang, Fengchang Xue, Tao Yang, Fei Tong, and Quan J. Wang

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Short summary
Urban flooding is a growing issue in cities, often disrupting daily life, especially at night, when the extent of flooding is harder to identify. This study introduces NWseg, a new deep learning model designed to identify the extent of urban flooding at night. Using a dataset of 4000 nighttime images, we found that NWseg outperforms existing models in accuracy. This research offers a practical solution for real-time flood monitoring, helping improve urban disaster response and management.
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