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Ocean Disaster Detection System(OD2S) using Geostationary Ocean Color Imager(GOCI)

천리안해양관측위성을 활용한 해양 재난 검출 시스템

  • 양현 (한국해양과학기술원 해양위성센터) ;
  • 유정미 (한국해양과학기술원 해양위성센터) ;
  • 한희정 (한국해양과학기술원 해양위성센터) ;
  • 유주형 (한국해양과학기술원 해양위성센터) ;
  • 박영제 (한국해양과학기술원 해양위성센터)
  • Received : 2012.09.14
  • Accepted : 2012.11.18
  • Published : 2012.11.30

Abstract

We developed the ocean disaster detection system(OD2S) which copes with the occurrences of ocean disasters (e. g. the red and green tide, the oil spill, the typhoon, and the sea ice) by converging and integrating the ocean color remote sensing using the satellite and the information technology exploiting the mass data processing and the pattern recognitions. This system which is based on the cosine similarity detects the ocean disasters in real time. The existing ocean color sensors which are operated in the polar orbit platforms cannot conduct the real time observation of ocean environments because they support the low temporal resolutions of one observation a day. However, geostationary ocean color imager(GOCI), the first geostationary ocean color sensor in the world, produces the ocean color images(e. g. the chlorophyll, the colored dissolved organic matter(CDOM), and the total suspended solid(TSS)), with high temporal resolutions of hourly intervals up to eight observations a day. The evaluation demonstrated that the OD2S can detect the excessive concentration of chlorophyll, CDOM, and TSS. Based on these results, it is expected that OD2S detects the ocean disasters in real time.

Keywords

References

  1. 권영빈, 이승도, 양현, 주요한, "키워드를 기반으로 마이너와 코사인 유사도를 이용한 컴퓨터 네트워크 관련 컨퍼런스 분석", 한국IT서비스학회지, 제11권, 제1호(2012), pp.223- 238. https://doi.org/10.9716/KITS.2012.11.1.223
  2. 문정언, "GOCI Algorithm Theoretical Basis Document:GOCI Dissolved Organic Matter (DOM) Algorithm", 한국해양연구원 해양위성센터 기술문서, 2008.
  3. 민지은, "GOCI Algorithm Theoretical Basis Document:GOCI Empirical Suspended Solid Particles Algorithm", 한국해양연구원 해양위성센터 기술문서, 2008.
  4. Babin, M., D. Stramski, G. M. Ferrari, H. Claustre, A. Bricaud, G. Obolensky, and N. Hoepffner, "Variations in the light absorption coefficients of phytoplankton, nonalgal particles, and dissolved organic matter in coastal waters around Europe", Journal of Geophysical Research, Vol.108, No.C7(2003), pp.1-20.
  5. Cho, S., Y. Ahn, J. Ryu, G. Kang, and H. Youn, "Development of Geostationary Ocean Color Imager(GOCI)", Korean Journal of Remote Sensing, Vol.26, No.3(2010), pp.157- 165.
  6. Chuanmin, H., F. E. Muller-Kargera, C. Taylora, K. L. Cardera, C. Kelbleb, E. Johnsb, and C. A. Heilc, "Redtide detection and tracing using MODIS fluorescence data:A regional example in SW Florida coastal waters, Remote Sensing of Environment, Vol.97, No.3(2005), pp.311-312. https://doi.org/10.1016/j.rse.2005.05.013
  7. Davis, S. M., D. A. Landgrebe, T. L. Phillips, P. H. Swain, R. M. Hoffer, J. C. Lindenlaub, and L. F. Silva, Remote sensing: The quantitative approach, McGraw-Hill, New York, 1978.
  8. Deschamps, P. Y., F. M. Breon, M. Leroy, A. Podaire, A. Bricaud, J. C. Buriez, and G. Seze, "The POLDER mission:instrument characteristics and scientific objectives", IE EE Transactions on Geoscience and Remote Sensing, Vol.32, No.3(1994), pp.598-615. https://doi.org/10.1109/36.297978
  9. Fomferra, N. and C. Brockmann, "BEAM -The ENVISAT MERIS and (A)ATSR toolbox", Proceeding of the MERIS (A) ATSR Workshop, Vol.1(2005), pp.1-3.
  10. Fougnie, B., G. Bracco, B. Lafrance, C. Ruffel, O. Hagolle, and C. Tinel, "PARASOL in-flight calibration and performance", Applied Optics, Vol.46, No.22(2007), pp.5435- 5451. https://doi.org/10.1364/AO.46.005435
  11. Fu, G., K. Settle, and C. R. McClain, "Sea DAS:The SeaWiFS Data Analysis System", Proc of the Ocean Remote Sensing Conference, (1998), pp.73-77.
  12. Han, H., J. Ryu, and Y. Ahn, "Development the Geostationary Ocean Color Imager(GOCI) Data Processing System(GDPS)", Korean Journal of Remote Sensing, Vol.26, No.2 (2010), pp.239-249. https://doi.org/10.7780/kjrs.2010.26.2.239
  13. Hatje, V., K. Rae, and G. F. Birch, "Trace metal and total suspended solids concentrations in freshwater:the importance of small-scale temporal variation", Journal of Environmental Monitoring, Vol.3, No.2(2001), pp.251-256. https://doi.org/10.1039/b008457n
  14. Hovis, W. A., D. K. Clark, F. Anderson, R. W. Austin, W. H. Wilson, E. T. Baker, D. Ball, H. R. Gordon, J. L. Mueller, S. Z. Elsayed, B Sturm, R. C. Wrigley, and C. S. Yentsch, "Nimbus-7 Coastal Zone Color Scanner:System Description and Initial Imagery", Science, Vol.210(1980), pp.60-63. https://doi.org/10.1126/science.210.4465.60
  15. Kang, G., S. Kang, S. Yong, J. Kim, Y. Chang, and H. Youn, "Korea Geostationary Ocean Color Imager(KGOCI)", IEEE Geoscience and Remote Sensing Society Vol.46, No.C(2004), pp.3261-3263.
  16. Kawamura, H., "OCTS mission overview", Journal of Oceanography, Vol.54(1998), pp. 383-399. https://doi.org/10.1007/BF02742442
  17. McClain, C. R., G. C. Feldman, and S. B. Hooker, "An overview of the SeaWiFS project and strategies for producing a climate research quality global ocean bio-optical time series", Topical Studies in Oceanography, Vol.51, No.1/3(2004), pp.5-42. https://doi.org/10.1016/j.dsr2.2003.11.001
  18. Rast, M., J. L. Beazy, and S. Bruzzi, "The ESA Medium Resolution Imaging Spectrometer MERIS-a review of the instrument and its mission", International Journal of Remote Sensing, Vol.20, No.9(1999), pp. 1681-1702. https://doi.org/10.1080/014311699212416
  19. Rosenfeld, A., "Image Analysis and Computer Vision:1988", International Journal of Computer Vision, Graphics, and Image Processing, Vol.46, No.2(1989), pp.196-264. https://doi.org/10.1016/0734-189X(89)90169-2
  20. Sakaida, F., K. Hosoda, M. Moriyama, H. Murakami, A. Mukaida, and H. Kawamura, "Sea surface temperature observation by Global Imager(GLI)/ADEOS-II:Algorithm and accuracy of the product", Journal of Oceanography, Vol.62, No.3(2006), pp.311- 319. https://doi.org/10.1007/s10872-006-0056-4
  21. Salomonson, V., W. L. Barnes, P. W. Maymon, and H. E. Montgomery, "MODIS: Advanced Facility Instrument for Studies of the Earth as a System", IEEE Transactions on Geoscience and Remote Sensing, Vol.27, No.2(1990), pp.145-153.
  22. White, T., Hadoop-The Definitive Guide, O'Reilly, California, 2009.
  23. Yoder, J. A., "Status and plans for Satellite Ocean-Colour Missions:Considerations for Complementary Missions", International Ocean Colour Coordinating Group, Vol.2 (1999), p.22.

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