Towards a distributed and operational pelagic imaging network
Author:
Affiliation:
1. GEOMAR Helmholtz Centre for Ocean Research Kiel, Germany
2. University of São Paulo, Brazil
3. Sorbonne Université, France; Université de Lomé, Togo
4. Sorbonne Université, France
Publisher
FapUNIFESP (SciELO)
Subject
Water Science and Technology,Aquatic Science,Oceanography
Link
http://www.scielo.br/scielo.php?script=sci_pdf&pid=S2675-28242023000100600&tlng=en
Reference42 articles.
1. A deep learning-based method to identify and count pelagic and mesopelagic fishes from trawl camera images;ALLKEN V.;ICES Journal of Marine Science,2021
2. Prediction of unprecedented biological shifts in the global ocean;BEAUGRAND G.;Nature Climate Change,2019
3. Depth-resolved particle-associated microbial respiration in the northeast Atlantic;BELCHER A.;Biogeosciences,2016
4. The Seasonal and Inter-Annual Fluctuations of Plankton Abundance and Community Structure in a North Atlantic Marine Protected Area;BENEDETTI F.;Frontiers in Marine Science,2019
5. Ecological Insights from Pelagic Habitats Acquired Using Active Acoustic Techniques;Benoit-Bird K. J.;Annual Review of Marine Science,2016
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