这是从GOCI I 的高分辨率叶绿素-a 分布图像中获得的一个关于副旋涡的观测数据集。采用了数字图像处理、滤波、YOLOv7-X、小目标检测等技术，并结合特定的叶绿素图像增强处理，提取了亚中尺度漩涡的信息，包括时间、极性、漩涡中心地理坐标、漩涡半径、预测框左上角和右下角坐标、漩涡内椭圆面积、置信度等，涵盖了2011年4月1日至2021年3月31日期间每天00:00至08:00（UTC）的8个时段。共识别出 19136 个反气旋涡和 93897 个气旋涡，置信度阈值为 0.2。反气旋涡的平均半径为 24.44 千米（范围为 2.5 千米至 44.25 千米），气旋涡的平均半径为 12.34 千米（范围为 1.75 千米至 44 千米）。", "ds_source": "
数据来源于GOCI（http://kosc.kiost.ac.kr/）。", "ds_process_way": "
采用了数字图像处理、滤波、YOLOv7-X、小目标检测等技术，并结合特定的叶绿素图像增强处理，提取了亚中尺度漩涡的信息，", "ds_quality": "
数据质量良好。", "ds_acq_start_time": "2011-04-01 00:00:00", "ds_acq_end_time": "2021-03-31 00:00:00", "ds_acq_place": "中国东南沿海地区", "ds_acq_lon_east": 144.0, "ds_acq_lat_south": 21.0, "ds_acq_lon_west": 117.0, "ds_acq_lat_north": 46.0, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 19292649, "ds_files_count": 9, "ds_format": "json", "ds_space_res": "", "ds_time_res": "年", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "491615f1-ef2e-4745-b890-69b0a791efa9.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "0a4269e1-65f4-45f1-aeba-88ea3068eebf", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2023-09-22 16:12:50", "last_updated": "2026-01-14 10:08:48", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.ZENODO.DB4021.2023", "i18n": { "en": { "title": "GOCI I Chlorophyll-a Data Sub mesoscale Eddy Current Identification Data Set Based on Deep Learning (2011-2021)", "ds_format": "json", "ds_source": "
Data sourced from GOCI（ http://kosc.kiost.ac.kr/ ）.", "ds_quality": "
The data quality is good.", "ds_ref_way": "", "ds_abstract": "
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).
", "ds_time_res": "年", "ds_acq_place": "Southeast Coastal Region of China", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Adopting digital image processing, filtering YOLOv7-X、 Technologies such as small target detection, combined with specific chlorophyll image enhancement processing, have extracted information on submesoscale eddies,", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "doi_reg_from": "reg_outside", "cstr_reg_from": "reg_outside", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "GOCI I", "叶绿素-a", "涡流识别" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "中国东南沿海地区" ], "ds_time_tags": [ 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021 ], "ds_contributors": [ { "true_name": "杨杰", "email": "yangjie2016@ouc.edu.cn", "work_for": "中国海洋大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "杨杰", "email": "yangjie2016@ouc.edu.cn", "work_for": "中国海洋大学", "country": "中国" } ], "ds_managers": [ { "true_name": "杨杰", "email": "yangjie2016@ouc.edu.cn", "work_for": "中国海洋大学", "country": "中国" } ], "category": "生态" }