한국지구과학회지 (Journal of the Korean earth science society)

  • 제44권5호
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  • Pages.469-481
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  • 2023
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  • 1225-6692(pISSN)
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  • 2287-4518(eISSN)
한국지구과학회 (The Korean Earth Science Society)
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인공위성 Sentinel-2 자료를 이용한 경기만 수중 탁도 산출

Retrieval of Underwater Turbidity in Gyeonggi Bay Using Sentinel-2 Satellite Data

  • 김수란 (서울대학교 과학교육과) ;
  • 김태성 (선박해양플랜트연구소 해양공공디지털연구본부) ;
  • 박경애 (서울대학교 지구과학교육과) ;
  • 박재진 (선박해양플랜트연구소 해양공공디지털연구본부) ;
  • 이문진 (선박해양플랜트연구소 해양공공디지털연구본부)
  • Su-Ran Kim (Department of Science Education, Seoul National University) ;
  • Tae-Sung Kim (Ocean and Maritime Digital Technology Research Division, Korea Research Institute of Ships and Ocean Engineering) ;
  • Kyung-Ae Park (Department of Earth Science Education, Seoul National University) ;
  • Jae-Jin Park (Ocean and Maritime Digital Technology Research Division, Korea Research Institute of Ships and Ocean Engineering) ;
  • Moon-Jin Lee (Ocean and Maritime Digital Technology Research Division, Korea Research Institute of Ships and Ocean Engineering)
  • 투고 : 2023.10.12
  • 심사 : 2023.10.30
  • 발행 : 2023.10.31
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초록

해수의 탁도는 수중의 부유 물질이나 생물에 의해 혼탁해지는 정도를 정량적으로 나타낸 변수로 연안 환경을 이해하는 데 중요한 해양 변수이다. 한반도의 서해안은 얕은 수심, 조류, 하천 유래 부유 퇴적물의 영향으로 광학적으로 강한 시공간 변동성을 가지고 있어서 인공위성 자료를 활용한 탁도 산출은 해양학적으로 다양한 활용 가능성을 가진다. 본 연구에서는 경기만을 연구 해역으로 설정하고, 해수의 탁도 산출 알고리즘 개발을 위하여 2018년부터 2023년 7월까지 해양환경공단의 해양수질자동측정망 기반 현장 관측 탁도 자료와 Sentinel-2 인공위성의 MSI (Multi-Spectral Instrument) Level-2 자료를 사용하여 위성-현장 관측치 사이의 일치점 데이터베이스를 생산하였다. 이전의 다양한 탁도 산출식을 조사하여 정확도를 상호 비교하였고 경기만 해역에서 최적 파장대를 조사하고 분석하였다. 그 결과 녹색 밴드(560 nm)를 기반으로 한 탁도 산출식이 0.08 NTU의 상대적으로 작은 평균 제곱근 오차를 보였다. 인공위성 광학 자료를 기반으로 산출된 탁도는 해수의 광학적 특성과 연안 환경의 변동성을 이해하고 다양한 해상 활동에 도움을 줄 수 있을 것으로 기대된다.

Seawater turbidity is one of oceanic variables that reflects the degree of optical property caused by suspended particles or organisms in the water, and it is one of critical oceanic variables for understanding coastal environments. The western coast of the Korean Peninsula, characterized by shallow depths, tidal currents, and the influence of river-borne sediments, exhibits strong spatio-temporal variability in optical properties of sea water. Therefore, the utilization of satellite data for turbidity estimation holds diverse potential applications from an oceanographic perspective. In this study, Gyeonggi Bay was selected as a research area and a turbidity calculation algorithm was developed. To achieve this, we utilized a combination of in-situ turbidity data from the Korea marine environment management corporation's automated monitoring network as ground truth data and Sentinel-2 satellite data from the Level-2 Multi-Spectral Instrument (MSI) from 2018 to July 2023. A matchup database between satellite data and in-situ measurement data was produced. Various turbidity retrieval methods of previous studies were investigated and their accuracy compared. As a result, a turbidity retrieval formulation based on the green band (560 nm) exhibited a relatively low root mean square error of 0.08 NTU in the Gyeonggi Bay. Turbidity calculated based on satellite optical data is expected to enhance our understanding of seawater's optical characteristics, coastal environmental variability, and provide valuable assistance in various maritime activities.

키워드

과제정보

본 연구는 해양수산부 재원으로 선박해양플랜트연구소의 주요 사업인 '빅데이터 기반 해양사고 수중수색구조 지원정보 산출 기술 개발'에 의해 수행되었습니다(1525014881). 탁도 실측 자료는 해양환경공단에서 제공되었습니다.

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