A self-supervised representation learning method for detecting and classifying fishing behaviour from AIS data in the St. Anns Bank MPA

Marine Protected Areas (MPA) increasingly rely on automatic identification system (AIS) data to monitor fishing activity. Enforcement remains difficult because AIS is self-reported, labels of fishing behaviour are scarce, and traffic patterns differ strongly between regions. This study develops a hi...

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Autors principals:	Nicolas Beaulieu, Bryce MacInnis, Catherine Evans, Alysa Czenze, Melina Mehlmann, Maggie Sutherland, Christopher Whidden, Levi Morrison
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2026-04-01
Col·lecció:	Frontiers in Marine Science
Matèries:	self-supervised representation learning AIS trajectory analysis Marine Protected Area (MPA) monitoring fisheries compliance monitoring vessel behaviour classification fishing activity detection
Accés en línia:	https://www.frontiersin.org/articles/10.3389/fmars.2026.1798458/full
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