| 基于高分四号卫星的黄海绿潮漂移速度提取研究 |
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| 引用本文： | 陈晓英,张杰,崔廷伟,宋平舰.基于高分四号卫星的黄海绿潮漂移速度提取研究[J].海洋学报,2018,40(1):29-38. |
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| 作者姓名： | 陈晓英 张杰 崔廷伟 宋平舰 |
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| 作者单位： | 国家海洋局第一海洋研究所, 山东 青岛 266061 |
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| 基金项目： | 国家自然科学基金（41476159，41506203，41706209，41476101）；中韩海洋科学共同研究中心项目（PI-2017-3）；海洋公益性行业科研专项（2013418025-2）。 |
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| 摘 要： | 静止轨道卫星高分四号（GF-4）具有高时间分辨率（20 s）和高空间分辨率（50 m）的独特优势。为了挖掘GF-4卫星在海洋灾害监测中的应用潜力，本文基于2016年6月25日1天4景的GF-4卫星影像，利用最大相关系数法（MCC），开展了黄海绿潮漂移速度提取研究，分析了海面风场、潮汐等对绿潮漂移的影响。研究发现:（1）MCC方法可高精度自动追踪GF-4影像中绿潮的分钟级（8~9 min）位置变化，绿潮漂移速率和方向的相对偏差分别为11%和5%；当2景GF-4影像的成像时间间隔增大至小时级（如6 h）时，随着绿潮斑块形状的改变，MCC方法绿潮自动追踪的准确性下降。（2）绿潮在1天之中的漂移速率和方向可发生显著变化，当日上午9时黄海绿潮漂移速率均值为（0.36±0.13）m/s，方向以东南向为主，至15时，绿潮漂移速率显著增加至（0.69±0.12）m/s，方向变为东北偏北。（3）绿潮漂移速度与海面风速的相关系数为0.74，绿潮漂移方向为风向偏右；绿潮的向岸、离岸运动与相应时刻的涨、落潮具有较好的对应关系。GF-4卫星数据可为绿潮快速漂移的高精度监测提供数据支撑。
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| 关 键 词： | 高分四号(GF-4) 绿潮 遥感 最大相关系数(MCC) 漂移速度 |
| 收稿时间： | 2017/4/10 0:00:00 |
Extraction of the green tide drift velocity in the Yellow Sea based on GF-4 |
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| Chen Xiaoying,Zhang Jie,Cui Tingwei and Song Pingjian.Extraction of the green tide drift velocity in the Yellow Sea based on GF-4[J].Acta Oceanologica Sinica (in Chinese),2018,40(1):29-38. |
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| Authors: | Chen Xiaoying Zhang Jie Cui Tingwei and Song Pingjian |
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| Institution: | First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China |
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| Abstract: | The geostationary optical satellite GF-4 has the unique advantages of high temporal resolution (20s) and high spatial resolution (50m). In order to explore GF-4''s potential in ocean disaster monitoring, the maximum cross correlation method (MCC) was applied to four GF-4 satellite images on June 25th, 2016 to extract the drifting velocity of the green tide in the Yellow Sea, and the influences of wind and tide on the green tide movement were analyzed. (1) The MCC method is shown to be capable of automatically tracking the green tide patches movement on the minute scale (8-9 min) in the GF-4 images with a high accuracy, with the absolute percentage difference (APD) of velocity magnitude and direction of 11% and 5%, respectively. When the temporal interval between the two GF-4 images increased to several hours (e.g., 6 h), the accuracy of MCC tracking decreased due to the obvious shape changes of green tide patch. (2) The drifting velocity of the green tide during the daytime can change significantly. At 9:00 am, the green tide patches had an average velocity of (0.36±0.13) m/s and moved southeast. But at 3:00 pm, the velocity increased to (0.69±0.12) m/s and the patches moved toward northwest direction. (3) The drifting velocity of green tide had a close correlation with wind speed (r=0.74); and green tide patches'' movement direction was also in good accordance with local tide cycle. The GF-4 data can provide data support for accurate monitoring of green tide short-term movement. |
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| Keywords: | GF-4 green tide remote sensing MCC drift velocity |
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