A pattern recognition approach to identify biological clusters acquired by acoustic multi-beam in Kongsfjorden

Svalbard is one of the most intensively studied marine regions in the Artic; here the composition and distribution of marine assemblages are changing under the effect of global change, and marine communities are monitored in order to understand the long-term effects on marine biodiversity. In the pr...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Environmental modelling & software : with environment data news 2022-06, Vol.152, p.105401, Article 105401
Hauptverfasser:	Giacalone, Giovanni, Barra, Marco, Bonanno, Angelo, Basilone, Gualtiero, Fontana, Ignazio, Calabrò, Monica, Genovese, Simona, Ferreri, Rosalia, Buscaino, Giuseppa, Mazzola, Salvatore, Noormets, Riko, Nuth, Christopher, Lo Bosco, Giosuè, Rizzo, Riccardo, Aronica, Salvatore
Format:	Artikel
Sprache:	eng
Schlagworte:	3D pattern Biodiversity Climate change Cluster Clustering Fish Fish school K-means Long-term effects Marine resources Multi-beam Pattern recognition Technology assessment Water circulation Water column
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!