Extraction of the green tide drift velocity in the Yellow Sea based on GF-4

Chen Xiaoying; Zhang Jie; Cui Tingwei; Song Pingjian

doi:10.3969/j.issn.0253-4193.2018.01.004

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Chen Xiaoying, Zhang Jie, Cui Tingwei, Song Pingjian. Extraction of the green tide drift velocity in the Yellow Sea based on GF-4[J]. Haiyang Xuebao, 2018, 40(1): 29-38. doi: 10.3969/j.issn.0253-4193.2018.01.004

Citation:

Chen Xiaoying, Zhang Jie, Cui Tingwei, Song Pingjian. Extraction of the green tide drift velocity in the Yellow Sea based on GF-4[J]. Haiyang Xuebao, 2018, 40(1): 29-38. doi: 10.3969/j.issn.0253-4193.2018.01.004

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Extraction of the green tide drift velocity in the Yellow Sea based on GF-4

doi: 10.3969/j.issn.0253-4193.2018.01.004

First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China

Received Date: 2017-04-10

Abstract

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 25^th, 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.
- GF-4,
- green tide,
- remote sensing,
- MCC,
- drift velocity

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References(17)

References

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