ResWLI: a new method to retrieve water levels in coastal zones by integrating optical remote sensing and deep learning

ResWLI: a new method to retrieve water levels in coastal zones by integrating optical remote sensing and deep learning

Accurate retrieval of water levels is essential for coastal construction and flood prevention in coastal regions. However, due to the high variability of tides and atmospheric forcings, acquiring precise water level data remains a large challenge. To address this issue, we developed a new water leve...

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Bibliographic Details
Main Authors: Nan Xu, Huichao Xin, Jiarui Wu, Jiaqi Yao, He Ren, Han-Su Zhang, Hao Xu, Hong Luan, Dong Xu, Yongze Song
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:GIScience & Remote Sensing
Subjects:
Water levels
Sentinel-2
optical imagery
convolutional neural network
coastal
Online Access:https://www.tandfonline.com/doi/10.1080/15481603.2025.2524891
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https://www.tandfonline.com/doi/10.1080/15481603.2025.2524891

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