20190927
13472400
1.0
TRUE
The data analysed in this study consists of around 150 million positions reports from EU fishing vessels above 15 m of length, operating in FAO areas 27, 34 and 37, in the period between September 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.
Fishing
intensity
The data analysed in this study consists of around 150 million positions reports from EU fishing vessels above 15 m of length, operating in FAO areas 27, 34 and 37, in the period between September 2014 and September 2015. Each AIS message provides th
Fishing intensity
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