Application of a sea surface temperature front composite algorithm in the Bohai, Yellow, and East China Seas
文献类型：SCI/SSCI论文
| 作者 | Ping B.; Su, F. Z.; Meng, Y. S.; Du, Y. Y.; Fang, S. H. |
| 发表日期 | 2016 |
| 关键词 | oceanic fronts Sobel algorithm frontal frequency frontal average gradient edge-detection sst images oceanic fronts satellite wintertime features |
| 英文摘要 | The oceanic front is a narrow zone in which water properties change abruptly within a short distance. The sea surface temperature (SST) front is an important type of oceanic front, which plays a significant role in many fields including fisheries, the military, and industry. Satellite-derived SST images have been used widely for front detection, although these data are susceptible to influence by many objective factors such as clouds, which can cause missing data and a reduction in front detection accuracy. However, front detection in a single SST image cannot fully reflect its temporal variability and therefore, the long-term mean frequency of occurrence of SST fronts and their gradients are often used to analyze the variations of fronts over time. In this paper, an SST front composite algorithm is proposed that exploits the frontal average gradient and frequency more effectively. Through experiments based on MODIS Terra and Aqua data, we verified that fronts could be distinguished better by using the proposed algorithm. Additionally through its use, we analyzed the monthly variations of fronts in the Bohai, Yellow, and East China Seas, based on Terra data from 2000 to 2013. |
| 出处 | Chinese Journal of Oceanology and Limnology |
| 卷 | 34 |
| 期 | 3 |
| 页 | 597-607 |
| 语种 | 英语 |
| ISSN号 | 0254-4059 |
| DOI标识 | 10.1007/s00343-015-4356-7 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/43168]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Ping B.,Su, F. Z.,Meng, Y. S.,et al. Application of a sea surface temperature front composite algorithm in the Bohai, Yellow, and East China Seas. 2016. |
入库方式： OAI收割
来源：地理科学与资源研究所
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