Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 16, issue 9
Articles | Volume 16, issue 9
https://doi.org/10.5194/essd-16-4189-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-4189-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 9
Data description paper
 | 
13 Sep 2024
Data description paper |  | 13 Sep 2024

Weekly green tide mapping in the Yellow Sea with deep learning: integrating optical and synthetic aperture radar ocean imagery

Le Gao, Yuan Guo, and Xiaofeng Li

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Short summary
Since 2008, the Yellow Sea has faced a significant ecological issue, the green tide, which has become one of the world's largest marine disasters. Satellite remote sensing plays a pivotal role in detecting this phenomenon. This study uses AI-based models to extract the daily green tide from MODIS and SAR images and integrates these daily data to introduce a continuous weekly dataset, which aids research in disaster simulation, forecasting, and prevention.
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