Abstract
Chinese oceanic fisheries have already covered seven main ocean area, including East Pacific, West Pacific, Middle Atlantic, North Pacific, Southeast Pacific, Southwest Atlantic and Indian Ocean. Based on the ocean environment data obtained from remote sensing and fishing historical data, the fishing ground analysis and forecasting information system has been constructed for Chinese oceanic fisheries. This paper briefly described the concerned remote sensing data, system architecture, client and models. Then a case application for tuna of the Indian Ocean was given at the end of the paper. The whole system has already in operation as making and delivering the forecasting information product every week.
Co-corresponding author. Funded by the Key Technologies R&D Program of China (No. 2013BAD13B06).
References
Zagaglia, C.R., Lorenzzetti, J.A., Stech, J.L.: Remote sensing data and longline catches of yellowfin tuna (Thunnus albacares) in the equatorial Atlantic. Remote Sens. Environ. 93(1–2), 267–281 (2004)
FAO: Review of the status of the world fishery resources: marine fisheries. FAO Fisheries Circular No. 920 FIRM/C920, Rome (1997)
Wei, F., Xue-zhong, C., Xin-qiang, S.: Tuna fishing grounds prediction model based on Bayes probability. J. Fish. Sci. China 13(3), 426–431 (2006)
Zhou, W., Fan, W., Cui, X., Yang, S., et al.: Fishing ground forecasting of Bigeye Tuna in the Indian Ocean based on bayesian probability model. Fish. Inf. Strategy 27(3), 214–218 (2012)
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Zhou, W. et al. (2016). The Fishing Ground Analysis and Forecasting Information System for Chinese Oceanic Fisheries. In: Bian, F., Xie, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2015 2015. Communications in Computer and Information Science, vol 569. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49155-3_91
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DOI: https://doi.org/10.1007/978-3-662-49155-3_91
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