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]本数据集为融合哨兵3号（Sentinel-3）叶绿素数据与深度学习算法构建的涡旋数据集，涵盖大量亚中尺度涡旋的相关信息，包括涡旋中心与边界的经纬度、半径及极性。涡旋半径单位为米，用户可直接通过Python对该数据集进行处理。 本数据集将在我方管理仪表盘持续更新，当前覆盖时段为2020.01.01至2022.12.31。 如需获取本数据集，请联系我们：电子邮箱[e-mail]