JRC Data Catalogue
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AIS derived high resolution fishing effort layer for European trawlers of more than 15 meters long 2014-2015

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The high resolution fishing effort layer for European trawlers in the period 2014 -2015 was derived from around 150 million AIS positions reports from EU fishing vessels above 15 m of length, operating in FAO areas 27, 34 and 37, in the period between October 2014 and September 2015. Each AIS message provides the position of the vessel, its speed and a timestamp, at intervals of five minutes. These messages were classified as either related to fishing or to steaming through a classification algorithm based on the analysis of individual vessels’ speed profiles. This classification approach proved to be sufficiently robust in the case of trawlers, that represent the majority of vessels above 15 m of length.

The authors would like to thank MSSIS, courtesy of the Volpe Center of the U.S. Department of Transportation and the U.S. Navy, and MarineTraffic for providing the AIS data used in this study.

Contributors

How to cite

Vespe, Michele; Natale, Fabrizio; Gibin, Maurizio; Alessandrini, Alfredo; Mazzarella, Fabio; Osio, Giacomo Chato; Paulrud, Anton (2026): AIS derived high resolution fishing effort layer for European trawlers of more than 15 meters long 2014-2015. European Commission, Joint Research Centre [Dataset] doi: 10.2905/JRC.HY0SJ8R PID: http://data.europa.eu/89h/jrc-fad-ais1415

Keywords

AISFishing EffortMSFDMSFD D6

Data access

TIFF

TIFF – Tagged Image File Format – is a computer file format for storing raster graphics images, popular among graphic artists, the publishing industry and photographers. TIFF is widely supported by scanning, faxing, word processing, optical character recognition, image manipulation, desktop publishing and page-layout applications. The format was created by Aldus Corporation for use in desktop publishing.

Downloadable file

A downloadable file for the dataset.

Use conditions
European Commission reuse notice

According to the European Commission reuse notice, reuse is authorised, provided the source is acknowledged. The reuse policy of the European Commission is implemented by the Decision of 12 December 2011. The general principle of reuse can be subject to conditions which may be specified in individual copyright notices. Therefore users are advised to refer to the copyright notices of the individual websites maintained under Europa and of the individual documents. Reuse is not applicable to documents subject to intellectual property rights of third parties.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

  • The fishing intensity raster is available for download.

Publications

Publication
Natale F, Gibin M, Alessandrini A, Vespe M, Paulrud A. Mapping Fishing Effort through AIS Data. PLOS ONE 10 (6); 2015. p. e0130746. JRC92644
PUBLIC LIBRARY SCIENCE, SAN FRANCISCO, USA
  • Several research initiatives have been undertaken to map fishing effort at high spatial resolution using the Vessel Monitoring System (VMS). An alternative to the VMS is represented by the Automatic Identification System (AIS), which in the EU became compulsory in May 2014 for all fishing vessels of length above 15 meters. The aim of this paper is to assess the uptake of the AIS in the EU fishing fleet and the feasibility of producing a map of fishing effort with high spatial and temporal resolution at European scale. After analysing a large AIS dataset for the period January-August 2014 and covering most of the EU waters, we show that AIS was adopted by around 75% of EU fishing vessels above 15 meters of length. Using the Swedish fleet as a case study, we developed a method to identify fishing activity based on the analysis of individual vessels’ speed profiles and produce a high resolution map of fishing effort based on AIS data. The method was validated using detailed logbook data and proved to be sufficiently accurate and computationally efficient to identify fishing grounds and effort in the case of trawlers, which represent the largest portion of the EU fishing fleet above 15 meters of length. Issues still to be addressed before extending the exercise to the entire EU fleet are the assessment of coverage levels of the AIS data for all EU waters and the identification of fishing activity in the case of vessels other than trawlers.

Publication
Vespe M; Gibin M; Alessandrini A; Natale F; Mazzarella F; Osio G. Mapping EU fishing activities using ship tracking data. JOURNAL OF MAPS 12 (S1); 2016. p. 520-525. JRC98151
TAYLOR & FRANCIS LTD, ABINGDON, ENGLAND
  • Information and understanding of fishing activities at sea are fundamental components of marine knowledge and maritime situational awareness. Such information is important to fisheries science, public authorities and policy-makers. In this paper we introduce a first map at European scale of EU fishing activities extracted using Automatic Identification System ship tracking data. The resulting map is a density of points that identify fishing activities. A measure of the reliability of such information is also presented as a map of coverage reception capabilities.

Temporal coverage

From date To date
2014-10-01 2015-09-30

Additional information

Published by
European Commission, Joint Research Centre
Contact email
jrc-stecf-secretariat (at) ec.europa.eu
Update frequency
unknown

The event occurs with unknown regularity.

Language(s)
English

English is a member of the West Germanic group of the Germanic languages. It is an official language of almost 60 sovereign states and is now a global lingua franca.It is the third-most-common native language in the world and it is widely learned as a second language.

Data theme(s)
Environment

dataset theme covering the domain of environment, defined as the interaction of all living species, climate, weather, and natural resources that impact human survival and economic activity

Science and technology

dataset theme covering the domains of science and technology, with science being the systematic pursuit of knowledge through testable explanations and predictions across natural, social, and formal disciplines, and technology encompassing the collective techniques, skills, methods, and processes used in producing goods, providing services, or achieving objectives like scientific research

Geographical name(s)
European Union
Issued date
2016-01-01
Created date
14 Dec 2018 10:41
Modified date
21 Feb 2024 14:55
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Dataset identifier
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