空间科学学报2023,Vol.43Issue(6):1125-1134,10.DOI:10.11728/cjss2023.06.2023-0088
基于SAR卫星观测的北极冰涡时空分布特征
Spatio-temporal Distribution Characteristics of Arctic Ice Eddies Based on SAR Satellite Observations
摘要
Abstract
The complex interaction between cold and warm ocean currents in the Arctic Ocean cre-ates favorable conditions for the formation and growth of eddies.In the marginal ice zone of the Arctic,some of the upper ice floes,resulting in the formation of distinctive rotational features.These features,which contain traces of ice floes,are referred to as"ice eddies"in this paper.Ice eddies accelerate the melting of the upper ice floes through vertical heat transfer,which affects the development of the marginal ice zone and indirectly regulates the global climate.In this paper,a study is conducted on the detection,identification,and spatial and temporal characterization of Arctic ice eddies using high-resolu-tion Synthetic Aperture Radar(SAR)satellite images of 2022.Firstly,a training dataset is constructed using preprocessed SAR images,and the YOLOv7 target detection model is used to train the model.Then,the process of human-supervised visual identification is conducted based on the results of detec-tion and identification,resulting in the identification of a total of 3615 cyclonic ice eddies and 1482 anti-cyclonic ice eddies.Finally,the ice eddies are characterized using the visual identification results men-tioned above.The statistical results show that ice eddies in the Arctic Ocean are primarily generated from July to November.Their spatial distribution is concentrated along the eastern coast of Greenland and in the north-central Greenland Sea.The diameters of the ice eddies range from 3.85 to 114.9 km.99%of the eddies are smaller than 60 km,with an average diameter of 21.2 km.97%of the eddies have sea-ice coverage ranging from 20%to 70%,with an average sea-ice coverage of 41.76%.The results of the ice eddies detection,identification,and spatial and temporal characterization in this paper provide valu-able methodological references and remote sensing analysis information for analyzing marine phenomena and conducting climate research in the Arctic region.关键词
合成孔径雷达(SAR)/冰涡/YOLO/检测识别/特征分析Key words
Synthetic Aperture Radar(SAR)/Ice eddies/YOLO/Detection and identification/Characteristics analysis分类
海洋科学引用本文复制引用
房超,汪胜,刘桂红,杜延磊,赵亚明,于䁑,杨晓峰..基于SAR卫星观测的北极冰涡时空分布特征[J].空间科学学报,2023,43(6):1125-1134,10.基金项目
国家自然科学基金项目资助(42206180) (42206180)