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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Detalhes bibliográficos

Principais autores:	Nicolas Beaulieu, Bryce MacInnis, Catherine Evans, Alysa Czenze, Melina Mehlmann, Maggie Sutherland, Christopher Whidden, Levi Morrison
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2026-04-01
coleção:	Frontiers in Marine Science
Assuntos:	self-supervised representation learning AIS trajectory analysis Marine Protected Area (MPA) monitoring fisheries compliance monitoring vessel behaviour classification fishing activity detection
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fmars.2026.1798458/full
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