A Global Sub-Mesoscale Eddy Dataset Using Deep Learning Algorithms and Sentinel-3 Chlorophyll-a Data

This is an eddy dataset obtained by combining chlorophyll data from Sentinel-3 with a deep learning algorithm. It contains a large amount of information on numerous sub-mesoscale eddies, including the latitude and longitude of their centers and boundaries, as well as their radii and polarities. The eddy radius is measured in meters. Users can directly use Python to process this dataset. The dataset will be continuously updated on my dashboard (now 2020.01.01-2022.12.31). Access the dataset please contact us : Email [e-mail]