인공위성 해수면온도 자료를 이용한 동해 연안 냉수대 탐지 알고리즘 개발
SCOPUS
KCI
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Title
- 인공위성 해수면온도 자료를 이용한 동해 연안 냉수대 탐지 알고리즘 개발
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Alternative Title
- Detection of Cold Water Mass along the East Coast of Korea Using Satellite Sea Surface Temperature Products
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Author(s)
- Choi, Won Jun; Yang, Chan Su
- KIOST Author(s)
- Choi, Won Jun(최원준); Yang, Chan Su(양찬수)
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Alternative Author(s)
- 최원준; 양찬수
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Publication Year
- 2023-12
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Abstract
- This study proposes the detection algorithm for the cold water mass (CWM) along the eastern coast of the Korean Peninsula using sea surface temperature (SST) data provided by the Korea Institute of Ocean Science and Technology (KIOST). Considering the occurrence and distribution of the CWM, the eastern coast of the Korean Peninsula is classified into 3 regions (“Goseong-Uljin”, “Samcheok-Guryongpo”, “Pohang-Gijang”), and the K-means clustering is first applied to SST field of each region. Three groups, Kmeans clusters are used to determine CWM through applying a double threshold filter predetermined using the standard deviation and the difference of average SST for the 3 groups. The estimated sea area is judged by the CWM if the standard deviation in the sea area is 0.6°Cor higher and the average water temperature difference is 2°Cor higher. As a result of the CWM detection in 2022, the number of CWM occurrences in “Pohang-Gijang” was the most frequent on 77 days and performance indicators of the confusion matrix were calculated for quantitative evaluation. The accuracy of the three regions was 0.83 or higher, and the F1 score recorded a maximum of 0.95 in “Pohang-Gijang”. The detection algorithm proposed in this study has been applied to the KIOST SST system providing a CWM map by email.
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ISSN
- 1225-6161
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URI
- https://sciwatch.kiost.ac.kr/handle/2020.kiost/45061
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DOI
- 10.7780/kjrs.2023.39.6.1.5
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Bibliographic Citation
- Korean Journal of Remote Sensing, v.39, no.6-1, pp.1235 - 1243, 2023
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Publisher
- 대한원격탐사학회
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Keywords
- Sea surface temperature; East coast of Korea; Cold water mass; Algorithm; K-means clustering
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Type
- Article
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Language
- Korean
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