Abstract
Performing statistical computations for traditional fishing effort takes much time and effort, and the macro fishing effort cannot be accessed immediately. Through the Beidou satellite vessel position monitoring system, the position, time, speed and other information of vessels can be got and used to data mining. In this paper, the speed threshold of each vessel’s fishing state is obtained by the statistics of navigational speed. And fishing state points can be judged by the speed threshold and heading deviation. Via the correction of filtering window, the fishing area grid is calculated by the cumulative fishing time. The cumulative fishing is the product of the cumulative fishing time and the vessel power, such as kW•h. This method has the characteristics of real-time, large-scale, fast and high resolution, which can provide good service in fishery resources protection.
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Acknowledgments
Thanks for the data provided by Shanghai Ubiquitous Navigation Technologies Ltd. The work is Funded by open research Funding program of KLGIS (KLGIS2015A06), Yangtze River Delta joint research project from Shanghai science and Technology Committee (15595811000) and the central level Public Welfare Scientific Research Institute of basic scientific research business fee special funds project (East China Sea Fisheries Research Institute 2014T13).
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Zhang, S., Yu, B., Zheng, Q., Zhou, W. (2016). Algorithm of Trawler Fishing Effort Extraction Based on BeiDou Vessel Monitoring System Data. 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_15
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DOI: https://doi.org/10.1007/978-3-662-49155-3_15
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