Articles | Volume 16, issue 9
https://doi.org/10.5194/essd-16-4189-2024
https://doi.org/10.5194/essd-16-4189-2024
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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Cited articles

Cao, H. and Han, L.: Drift path of green tide and the impact of typhoon “Chan-hom” in the Chinese Yellow Sea based on GOCI images in 2015, Ecol. Inform., 60, 101156, https://doi.org/10.1016/j.ecoinf.2020.101156, 2020. 
Cao, M., Li, X., Cui, T., Pan, X., Li, Y., Chen, Y., Wang, N., Xiao, Y., Song, X., and Xu, Y.: Unprecedent green macroalgae bloom: mechanism and implication to disaster prediction and prevention, Int. J. Digit. Earth, 16, 3772–3793, https://doi.org/10.1080/17538947.2023.2257658, 2023. 
Chen, G., Huang, B. X., Yang, J., Radenkovic, M., Ge, L. Y., Cao, C. C., Chen, X. Y., Xia, L. H., Han, G. Y., and Ma, Y.: Deep blue artificial intelligence for knowledge discovery of the intermediate ocean, Frontiers in Marine Science, 9, 1034188, https://doi.org/10.3389/fmars.2022.1034188, 2023. 
Cui, T., Li, F., Wei, Y., Yang, X., Xiao, Y., Chen, X., Liu, R., Ma, Y., and Zhang, J.: Super-resolution optical mapping of floating macroalgae from geostationary orbit, Appl. Optics, 59, C70–C77, https://doi.org/10.1364/AO.382081, 2020. 
Cui, T. W., Liang, X. J., Gong, J. L., Tong, C., Xiao, Y. F., Liu, R. J., Zhang, X., and Zhang, J.: Assessing and refining the satellite-derived massive green macro-algal coverage in the Yellow Sea with high resolution images, ISPRS J. Photogramm., 144, 315–324, https://doi.org/10.1016/j.isprsjprs.2018.08.001, 2018. 
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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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