%0 Dataset
%T GOCI I Chlorophyll-a Data Sub mesoscale Eddy Current Identification Data Set Based on Deep Learning (2011-2021)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/491615f1-ef2e-4745-b890-69b0a791efa9
%W NCDC
%R 10.5281/zenodo.7694115
%A Yang Jie
%K GOCI I;Chlorophyll-a;Eddy Current Identification
%X This is an observational dataset of secondary vortices obtained from high-resolution chlorophyll-a distribution images of GOCI I. Adopting digital image processing, filtering YOLOv7-X、 Small target detection and other technologies, combined with specific chlorophyll image enhancement processing, extracted information about submesoscale eddies, including time, polarity, geographic coordinates of vortex centers, vortex radius, coordinates of the upper left and lower right corners of the prediction box, elliptical area inside the vortex, confidence level, etc., covering 8 time periods from 00:00 to 08:00 (UTC) every day from April 1, 2011 to March 31, 2021. A total of 19136 anticyclonic vortices and 93897 cyclonic vortices were identified, with a confidence threshold of 0.2. The average radius of the anticyclone is 24.44 kilometers (ranging from 2.5 kilometers to 44.25 kilometers), and the average radius of the anticyclone is 12.34 kilometers (ranging from 1.75 kilometers to 44 kilometers).