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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2023, Vol. 20, No. 3, pp. 35-45

Improvement of methods for complex analysis of catch reporting data and satellite positions of vessels to verify information in the fisheries monitoring system based on automatic track classification

V.N. Pyrkov 1 , A.Yu. Degay 1 , V.N. Chernykh 1 , M.V. Andreev 1 , V.A. Tolpin 1 , Z.B. Belokon' 1 
1 Space Research Institute RAS, Moscow, Russia
Accepted: 14.06.2023
DOI: 10.21046/2070-7401-2023-20-3-35-45
The need for verification of reporting and positional information in mobile object monitoring systems was justified in the paper. Tools for complex analysis of positional and fishing information to verify data of information systems on the example of fishery monitoring system were developed. There is a method created to estimate reliability of the satellite information on a position of fishing vessels. It was found that for the automatic classification of the vessel's track, it is preferable to use information about the position of the vessel obtained from technical controls, rather than the speed value provided by satellite positioning providers. The algorithm for automatic track classification was refined and used on practical data. The method of suspicious message detection was finalized for practical automated application, now it is based on determination of the generalized ratio of catch to fishing effort. Testing of the method mentioned was conducted. The previously unpublished conference papers are presented.
Keywords: path classification automation, bottom trawl, automatic identification system (AIS), fishery statistics, reliability
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