The LOKI underwater imaging system and an automatic identification model for the detection of zooplankton taxa in the Arctic Ocean-Reference-Cited by-同舟云学术

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The LOKI underwater imaging system and an automatic identification model for the detection of zooplankton taxa in the Arctic Ocean

Published:2016-04 Issue: Volume:15-16 Page:129-160
ISSN:2211-1220
Container-title:Methods in Oceanography
language:en
Short-container-title:Methods in Oceanography

Author:

Schmid Moritz Sebastian^ORCID,Aubry Cyril^ORCID,Grigor Jordan^ORCID,Fortier Louis

Funder

Canada Foundation for Innovation (CFI)

ArcticNet, a Network of Centres of Excellence of Canada

Canada Excellence Research Chair (CERC) in Remote Sensing of Canada’s New Arctic Frontier

Québec-Océan

Publisher

Elsevier BV

Subject

Ocean Engineering,Aquatic Science,Oceanography

Reference61 articles.

1. Recent Arctic Ocean sea ice loss triggers novel fall phytoplankton blooms;Ardyna;Geophys. Res. Lett.,2014

2. Impact of a shrinking Arctic ice cover on marine primary production;Arrigo;Geophys. Res. Lett.,2008

3. Assessment of ZooImage as a tool for the classification of zooplankton;Bell;J. Plankton Res.,2008

4. Video Plankton Recorder estimates of copepod, pteropod and larvacean distributions from a stratified region of Georges Bank with comparative measurements from a MOCNESS sampler;Benfield;Deep Sea Res. Part II,1996

5. RAPID: Research on automated Plankton identification;Benfield;Oceanography,2007

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