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Analysis of Unmatched Fishing Activities Between VIIRS and Field Data (AIS and V-Pass) Around Korean Peninsula

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Abstract

The day and night band (DNB) of a visible infrared imaging radiometer suite (VIIRS) sensor is designed to detect both natural and artificial visible light during nighttime observations. Thus, this sensor can be used to detect night fishing activity around the Korean Peninsula. A comparative analysis of unmatched vessels detected using the VIIRS and automatic identification system (AIS) can help in understanding the static and dynamic characteristics of vessel distribution. In this study, we aimed to analyze the annual density distribution of nighttime fishing vessels by matching the location of VIIRS-derived vessels with that obtained from AIS and V-Pass (a fishing vessel location transmitter) data. The annual VIIRS data revealed that the vessel density showed a seasonal trend according to the fishing ground. During the peak fishing season, the vessel lights were concentrated at boundaries of the exclusive fishery zone. VIIRS data that were unmatched with the AIS/V-Pass data revealed that the vessels were mainly distributed outside the exclusive fishery zone. In contrast, the unmatched AIS/V-Pass data showed that the vessels were concentrated in the coastal areas of Korea, because low-light vessels undetectable by VIIRS were dominant in the inshore area. Two density hotspots of vessels were observed outside the exclusive fishery zone in the southwestern sea of Jeju Island, where unmatched VIIRS and AIS/V-Pass data were recorded. These findings will contribute to the identification of trends in fishing fleets around the Korean Peninsula and the improvement of maritime domain awareness.

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Acknowledgements

This study was supported by the “Development of satellite-based system on monitoring and predicting ship distribution in the contiguous zone (20200495)” of the Korea Coast Guard.

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Authors and Affiliations

  1. Geoinformation Engineering, Sejong University, Seoul, 05006, Republic of Korea

    Boram Lee & Sang-Wan Kim

  2. Department of Energy Resources and Geosystems Engineering, Sejong University, Seoul, 05006, Republic of Korea

    Yoon-Kyung Lee & Sang-Wan Kim

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  1. Boram Lee
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Correspondence to Sang-Wan Kim.

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Lee, B., Lee, YK. & Kim, SW. Analysis of Unmatched Fishing Activities Between VIIRS and Field Data (AIS and V-Pass) Around Korean Peninsula. Ocean Sci. J. 59, 28 (2024). https://doi.org/10.1007/s12601-024-00145-2

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  • DOI: https://doi.org/10.1007/s12601-024-00145-2

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