Application of sea surface temperature remote sensing data in environmental assessment of fishing grounds

Authors

  • Xinkai Zhang
  • Jie Yin

DOI:

https://doi.org/10.62051/fpa2dm58

Keywords:

sea surface temperature remote sensing; fishery environment assessment; climate change; fishery resource management; satellite data application.

Abstract

This article provides a comprehensive discussion of the application and importance of sea surface temperature (SST) remote sensing data in environmental assessment of fisheries. By analysing the collection, processing and practical application of SST data, the article demonstrates how this technology can help scientists and fisheries managers to better understand the impacts of ocean temperature changes on fisheries resources and its role in ensuring the sustainability of global fisheries. The article begins by describing the importance of the marine environment to fishery resources and explains the development of SST remote sensing technology and its application to fishery location and environmental monitoring. The article then discusses in detail the application of SST data in practical fisheries management, in particular how it can help predict fish migration, optimise fishing activities, and assess the impacts of climate change on marine ecosystems. In addition, the article explores the main challenges faced when applying SST data, such as technical limitations, complexity of data interpretation, and unequal access on a global scale. Overall, this article highlights the indispensable role of SST remote sensing data in modern fisheries management, while also pointing out the limitations of its application and future directions. With the continuous advancement of remote sensing technology and the ongoing impact of global climate change, SST data are expected to play an increasingly important role in future fisheries environmental assessment and resource management.

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References

Ariana, M., Suyasa, I. N., & Simbolon, D. (2020). Remote sensing for assessing the potential anchovy fishing ground in the pesisir selatan regency, west sumatra, indonesia. Aquaculture, Aquarium, Conservation & Legislation, 13(4), 2273-2282.

Sambah, A. B., Muamanah, A., Harlyan, L. I., Lelono, T. D., Iranawati, F., & Sartimbul, A. (2021). Sea surface temperature and chlorophyll-a distribution from Himawari satellite and its relation to yellowfin tuna in the Indian Ocean. Aquaculture, Aquarium, Conservation & Legislation, 14(2), 897-909.

Mondal, S., Vayghan, A. H., Lee, M. A., Wang, Y. C., & Semedi, B. (2021). Habitat suitability modeling for the feeding ground of immature albacore in the southern Indian Ocean using satellite-derived sea surface temperature and chlorophyll data. Remote Sensing, 13(14), 2669.

De, K., Nanajkar, M., Arora, M., Nithyanandan, M., Mote, S., & Ingole, B. (2022). Application of remotely sensed sea surface temperature for assessment of recurrent coral bleaching (2014–2019) impact on a marginal coral ecosystem. Geocarto international, 37(15), 4483-4508.

Nugraha, E., Gunawan, R., Danapraja, S., Kusdinar, A., Waluyo, A. S., Hutajulu, J., ... & Sutisna, D. H. (2020). The sea surface temperature effect on the length and size of skipjack tuna (Katsuwonus pelamis) catches in the Banda Sea, Indonesia. Aquaculture, Aquarium, Conservation & Legislation, 13(1), 1-18.

Kim, Y. H., Son, S., Kim, H. C., Kim, B., Park, Y. G., Nam, J., & Ryu, J. (2020). Application of satellite remote sensing in monitoring dissolved oxygen variabilities: A case study for coastal waters in Korea. Environment international, 134, 105301.

Hsu, T. Y., Chang, Y., Lee, M. A., Wu, R. F., & Hsiao, S. C. (2021). Predicting skipjack tuna fishing grounds in the Western and Central Pacific Ocean based on high-spatial-temporal-resolution satellite data. Remote Sensing, 13(5), 861.

Wang, Y., Yao, L., Chen, P., Yu, J., & Wu, Q. E. (2020). Environmental influence on the spatiotemporal variability of fishing grounds in the Beibu Gulf, South China Sea. Journal of Marine Science and Engineering, 8(12), 957.

Muskananfola, M. R., & Wirasatriya, A. (2021). Spatio-temporal distribution of chlorophyll-a concentration, sea surface temperature and wind speed using aqua-modis satellite imagery over the Savu Sea, Indonesia. Remote Sensing Applications: Society and Environment, 22, 100483.

Kim, M., Yang, H., & Kim, J. (2020). Sea surface temperature and high water temperature occurrence prediction using a long short-term memory model. Remote Sensing, 12(21), 3654.

Lee, M. A., Weng, J. S., Lan, K. W., Vayghan, A. H., Wang, Y. C., & Chan, J. W. (2020). Empirical habitat suitability model for immature albacore tuna in the North Pacific Ocean obtained using multisatellite remote sensing data. International Journal of Remote Sensing, 41(15), 5819-5837.

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Published

10-04-2024

How to Cite

Zhang, X. and Yin, J. (2024) “Application of sea surface temperature remote sensing data in environmental assessment of fishing grounds”, Transactions on Computer Science and Intelligent Systems Research, 3, pp. 110–116. doi:10.62051/fpa2dm58.