The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY (한국해양학회지:바다)

The Korean Society of Oceanography (한국해양학회)
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Establishment of Thermal Infrared Observation System on Ieodo Ocean Research Station for Time-series Sea Surface Temperature Extraction

시계열 해수면온도 산출을 위한 이어도 종합해양과학기지 열적외선 관측 시스템 구축

  • KANG, KI-MOOK (School of Earth and Environmental Sciences, Seoul National University) ;
  • KIM, DUK-JIN (School of Earth and Environmental Sciences, Seoul National University) ;
  • HWANG, JI-HWAN (School of Earth and Environmental Sciences, Seoul National University) ;
  • CHOI, CHANGHYUN (School of Earth and Environmental Sciences, Seoul National University) ;
  • NAM, SUNGHYUN (School of Earth and Environmental Sciences, Seoul National University) ;
  • KIM, SEONGJUNG (School of Earth and Environmental Sciences, Seoul National University) ;
  • CHO, YANG-KI (School of Earth and Environmental Sciences, Seoul National University) ;
  • BYUN, DO-SEONG (Ocean Research Division, Korea Hydrographic and Oceanographic Agency) ;
  • LEE, JOOYOUNG (Ocean Research Division, Korea Hydrographic and Oceanographic Agency)
  • 강기묵 (서울대학교 지구환경과학부) ;
  • 김덕진 (서울대학교 지구환경과학부) ;
  • 황지환 (서울대학교 지구환경과학부) ;
  • 최창현 (서울대학교 지구환경과학부) ;
  • 남성현 (서울대학교 지구환경과학부) ;
  • 김성중 (서울대학교 지구환경과학부) ;
  • 조양기 (서울대학교 지구환경과학부) ;
  • 변도성 (국립해양조사원 해양과학조사연구실) ;
  • 이주영 (국립해양조사원 해양과학조사연구실)
  • Received : 2017.06.12
  • Accepted : 2017.08.17
  • Published : 2017.08.31
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Abstract

Continuous monitoring of spatial and temporal changes in key marine environmental parameters such as SST (sea surface temperature) near IORS (Ieodo Ocean Research Station) is demanded to investigate the ocean ecosystem, climate change, and sea-air interaction processes. In this study, we aimed to develop the system for continuously measuring SST using a TIR (thermal infrared) sensor mounted at the IORS. New SST algorithm is developed to provide SST of better quality that includes automatic atmospheric correction and emissivity calculation for different oceanic conditions. Then, the TIR-based SST products were validated against in-situ water temperature measurements during May 17-26, 2015 and July 15-18, 2015 at the IORS, yielding the accuracy of 0.72-0.85 R-square, and $0.37-0.90^{\circ}C$ RMSE. This TIR-based SST observing system can be installed easily at similar Ocean Research Stations such as Sinan Gageocho and Ongjin Socheongcho, which provide a vision to be utilized as calibration site for SST remotely sensed from satellites to be launched in future.

이어도 종합해양과학기지(IORS, Ieodo Ocean Research Station) 주변 해역은 시 공간적으로 해양 환경 변화가 심하여, 해양-대기교환 과정을 비롯하여 해양 생태계와 기후 변화 연구에 필수적인 해수면온도(SST, Sea surface temperature) 자료의 지속적인 측정이 요구되는 해역이다. 본 연구에서는 이어도 종합해양과학기지에 열적외선 센서를 이용하여 해수면온도 연속 관측이 가능한 시스템을 구축하였다. 자동 대기 보정 및 해양 조건에 따른 방사율 계산이 가능한 해수면온도 추출 알고리즘을 개발하였고, 현장측정 해수면온도 자료와의 비교 및 검증을 통해 정확도를 평가하였다. 2015년 5월 17일부터 26일, 그리고 2016년 7월 15일부터 18일까지 기지에 체류하는 동안 열적외선 관측 시스템으로 측정된 해수면온도와 기지 부착 CT (Conductivity-Temperature) 및 튜브 부착 수온 센서들을 이용하여 현장에서 측정된 해수면온도 시계열을 비교하여 상호상관계수0.72-0.85, 평균제곱근 편차 $0.37-0.90^{\circ}C$의 정확도를 얻었다. 이 시스템은 이어도 종합해양과학기지뿐만 아니라 신안 가거초 및 옹진 소청초 등의 다른 종합해양과학기지에도 쉽게 구축이 가능한 시스템으로써 향후 발사될 인공위성의 해수면온도 산출알고리즘 개발의 테스트사이트나 검보정사이트로 활용될 수 있을 것으로 기대할 수 있다.

Keywords

References

  1. Cho, Y., 2015. Research of tidal current, physical properties, and influence of sea surface on microwave near IEODO Ocean Research Station. Korea Hydrographic and Oceanographic Agency.
  2. Donlon C.J., M. Martin, J. Stark, J. Roberts-Jones, E. Fiedler and W. Wimmer, 2012, The Operational Sea Surface Temperature and Sea Ice analysis (OSTIA), Remote Sensing of Environment, 116: 140-158. https://doi.org/10.1016/j.rse.2010.10.017
  3. FLIR Systems, The Ultimate Infrared Handbook for R&D Professionals, 1-55.
  4. Gentemann, C.L., C.J. Donlon, A. Stuart-Menteth and F.J. Wentz, 2003. Diurnal signals in satellite sea surface temperature measurements. Geophysical Research Letters, 30(3).
  5. Graber, J., 2011. Land-based infrared imagery for marine mammal detection (Doctoral dissertation, University of Washington).
  6. Jeong, J., 2011. The change detection of SST of Saemangeum coastral area using Landsat and MODIS. Korean Society of Environmental Impact Assessment, 20(2): 199-205.
  7. Jeong, J. and S. Yoo, 1999. The Analysis Errors of Surface Water Temperature Using Landsat TM. Korean Journal of Remote Sensing, 15(1): 1-8.
  8. Kang, K., D. Kim, S.H. Kim, Y.K. Cho and S.H. Lee, 2014. Extraction of sea surface temperature in coastal area using ground-based thermal infrared sensor on-boarded to Aircraft. Korean Journal of Remote Sensing, 30(6): 797-807. https://doi.org/10.7780/kjrs.2014.30.6.10
  9. Kim D., Y. Cho, K. Kang, J. Kim, and S. Kim, 2013. Development of airborne remote sensing systime for monitoring marine meteorology (sea surface wind and temperature), The Sea: Journal of the Korean Socieity of Oceanography, 18(1): 32-39. https://doi.org/10.7850/jkso.2013.18.1.32
  10. Kim, D., 2016. Development of monitoring sea surface temperature using thermal infrared camera system and measuring various parameter using microwave system at IEODO Ocean Research Station. Korea Hydrographic and Oceanographic Agency.
  11. Kim, D., J. Jung, K. Kang, S. H. Kim, Z. Xu, S. Hensley, A. Swan, and M. Duersch, 2015. Development of a cost-effective airborne remote sensing system for coastal monitoring. Sensors, 15(10): 25366-25384. https://doi.org/10.3390/s151025366
  12. Masuda, K., T. Takashima, and Y. Takayama, 1988. Emissivity of pure and sea waters for the model sea surface in the infrared window regions. Remote Sensing of Environment, 24(2): 313-329. https://doi.org/10.1016/0034-4257(88)90032-6
  13. Park, K., S. Futoki and K. Hiroshi, 2008. Oceanic skin-bulk temperature difference through the comparison of satellite-observed sea surface temperature and in-situ measurements. Korean Journal of Remote Sensing, 24(4): 273-287. https://doi.org/10.7780/kjrs.2008.24.4.273
  14. Yoon, S., J.H. Ryu, J.E. Min, Y.H. Ahn, S. Lee, and J.S. Won, 2009. Monitoring of the sea surface temperature in the Saemangeum Sea Area using the thermal infrared satellite data. Korean Journal of Remote Sensing, 25(4): 339-357. https://doi.org/10.7780/kjrs.2009.25.4.339
  15. Yoon, S., J.H. Ryu, Y.H. Ahn and J.S. Won, 2007. Validation of SST using IR sensor at IEODO Ocean Research Station with AVHRR satellite data. 2007 The Korean Society of Economic and Environmental Geology proceedings, 538-540.

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