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Application of a sea surface temperature front composite algorithm in the Bohai, Yellow, and East China Seas
- Journal of Oceanology and Limnology Vol. 34, Issue 3, Pages: 597-607(2016)
- Affiliations：
1. School of Remote Sensing and Information Engineering Wuhan University
2. Laboratory of Resource and Environmental Information System Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences
3. University of Chinese Academy of Sciences
- Author bio：
- Funds：
DOI：10.1007/s00343-015-4356-7
CLC：-
Online First：29 September 2015，
Published：2016
- Accepted：
Scan QR Code
Ping, B., Su, F., Meng, Y. et al. Application of a sea surface temperature front composite algorithm in the Bohai, Yellow, and East China Seas., Chin. J. Ocean. Limnol. 34, 597–607 (2016). https://doi.org/10.1007/s00343-015-4356-7
摘要
Abstract
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 signifi cant role in many fi elds including fi sheries
the military
and industry. Satellite-derived SST images have been used widely for front detection
although these data are susceptible to infl uence 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 refl ect 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 eff ectively. Through experiments based on MODIS Terra and Aqua data
we verifi ed 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.
关键词
Keywords
references
Belkin I M, Cornillon P C, Sherman K. 2009. Fronts in large marine ecosystems. Prog. Oceanogr., 81 (1-4): 223–236. http://dx.doi.org/10.1016/j.pocean.2009.04.015.
Belkin I M, O’Reilly J E. 2009. An algorithm for oceanic front detection in chlorophyll and SST satellite imagery. Journal of Marine Systems, 78 (3): 319–326. http://dx.doi. org/10.1016/j.jmarsys.2008.11.018.
Cayula J-F, Cornillon P. 1992. Edge detection algorithm for SST images. Journal of Atmospheric and Oceanic Technology, 9 (1): 67–80.
Cayula J-F, Cornillon P. 1995. Multi-image edge detection for SST images. Journal of Atmospheric and Oceanic Technology, 12 (4): 821–829.
Chang Y, Lee M-A, Shimada T, Sakaida F, Kawamura H, Chan J-W, Lu H-J. 2008. Wintertime high-resolution features of sea surface temperature and chlorophyll-a fields associated with oceanic fronts in the southern East China Sea. International Journal of Remote Sensing, 29 (21): 6 249–6 261. http://dx.doi.org/10.1080/01431160802175462.
Chang Y, Shieh W-J, Lee M-A, Chan J-W, Lan K-W, Weng J-S. 2010. Fine-scale sea surface temperature fronts in wintertime in the northern South China Sea. International Journal of Remote Sensing, 31 (17-18): 4 807–4 818, http://dx.doi.org/10.1080/01431161.2010.485146.
Diehl S F, Budd J W, Ullman D, Cayula J-F. 2002. Geographic window sizes applied to remote sensing sea surface temperature front detection. Journal of Atmospheric and Oceanic Technology, 19 (7): 1 105–1 113.
Hickox R, Belkin I, Cornillon P, Shan Z Q. 2000. Climatology and Seasonal variability of ocean fronts in the East China, Yellow and Bohai Seas from satellite SST data. Geophysical Research Letters, 27 (18): 2 945–2 948.
Miller P. 2004. Multi-spectral front maps for automatic detection of ocean colour features from SeaWiFS. International Journal of Remote Sensing, 25 (7-8): 1 437–1 442, http://dx.doi.org/10.1080/01431160310001592409.
Miller P. 2009. Composite front maps for improved visibility of dynamic sea-surface features on cloudy SeaWiFS and AVHRR data. Journal of Marine Systems, 78 (3): 327–336. http://dx.doi.org/10.1016/j.jmarsys.2008.11.019.
Oram J J, McWilliams J C, Stolzenbach K D. 2008. Gradientbased edge detection and feature classification of seasurface images of the Southern California Bight. Remote Sensing of Environment, 112 (5): 2 397–2 415. http://dx. doi.org/10.1016/j.rse.2007.11.010.
Pi Q L, Hu J Y. 2010. Analysis of sea surface temperature fronts in the Taiwan Strait and its adjacent area using an advanced edge detection method. Science China Earth Sciences, 53 (7): 1 008–1 016. http://dx.doi.org/10.1007/ s11430-010-3060-x.
Ping B, Su F Z, Du Y Y, Meng Y S, Su W G. 2013. Application of the model of universal gravity to oceanic front detection near the Kuroshio front. Journal of Geo-information Science, 15 (2): 187–192. (in Chinese with English abstract)
Ping B, Su F Z, Du Y Y, Su W G. 2014. Bohai sea front detection using BJ-1 small satellite data. Journal of Remote Sensing, 18 (3): 686–695. http://dx.doi.org/10. 11834/jrs.20143221. (in Chinese with English abstract)
Shimada T, Sakaida F, Kawamura H, Okumura T. 2005. Application of an edge detection method to satellite images for distinguishing sea surface temperature fronts near the Japanese coast. Remote Sensing of Environment, 98 (1): 21–34. http://dx.doi.org/10.1016/j.rse.2005.05.018.
Vázquez D P, Atae-Allah C, Escamilla P L. 1999. Entropic approach to edge detection for SST images. Journal of Atmospheric and Oceanic Technology, 16 (7): 970–979.
Wall C C, Muller-Karger F E, Roffer M A, Hu C M, Yao W S, Luther M E. 2008. Satellite remote sensing of surface oceanic fronts in coastal waters offwest-central Florida. Remote Sensing of Environment, 112 (6): 2 963–2 976. http://dx.doi.org/10.1016/j.rse.2008.02.007.
Yao J L, Belkin I M, Chen J, Wang D X. 2012. Thermal fronts of the southern South China Sea from satellite and in situ data. International Journal of Remote Sensing, 33 (23): 7 458–7 468. http://dx.doi.org/10.1080/01431161.2012.685985.
Zeng X Z, Belkin I M, Peng S Q, Li Y N. 2014. East Hainan upwelling fronts detected by remote sensing and modelled in summer. International Journal of Remote Sensing, 35 (11-12): 4 441–4 451, http://dx.doi.org/10.1080/014311 61.2014.916443.
Zhang F, Li X F, Hu J Y, Sun Z Y, Zhu J, Chen Z Z. 2014. Summertime sea surface temperature and salinity fronts in the southern Taiwan Strait. International Journal of Remote Sensing, 35 (11-12): 4 452–4 466, http://dx.doi.org /10.1080/01431161.2014.916454.
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