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The Underwater Vision Profiler 6: an imaging sensor of particle size spectra and plankton, for autonomous and cabled platforms.

Marc PicheralCamille CatalanoDenis BrousseauHervé ClaustreLaurent CoppolaEdouard LeymarieJérôme CoindatFabio DiasSylvain FevreLionel GuidiJean Olivier IrissonLouis LegendreFabien LombardLaurent MortierChristophe PenkerchAndreas RoggeCatherine SchmechtigSimon ThibaultThierry TixierAnya M WaiteLars Stemmann
Published in: Limnology and oceanography, methods (2021)
Autonomous and cabled platforms are revolutionizing our understanding of ocean systems by providing 4D monitoring of the water column, thus going beyond the reach of ship-based surveys and increasing the depth of remotely sensed observations. However, very few commercially available sensors for such platforms are capable of monitoring large particulate matter (100-2000  μ m) and plankton despite their important roles in the biological carbon pump and as trophic links from phytoplankton to fish. Here, we provide details of a new, commercially available scientific camera-based particle counter, specifically designed to be deployed on autonomous and cabled platforms: the Underwater Vision Profiler 6 (UVP6). Indeed, the UVP6 camera-and-lighting and processing system, while small in size and requiring low power, provides data of quality comparable to that of previous much larger UVPs deployed from ships. We detail the UVP6 camera settings, its performance when acquiring data on aquatic particles and plankton, their quality control, analysis of its recordings, and streaming from in situ acquisition to users. In addition, we explain how the UVP6 has already been integrated into platforms such as BGC-Argo floats, gliders and long-term mooring systems (autonomous platforms). Finally, we use results from actual deployments to illustrate how UVP6 data can contribute to addressing longstanding questions in marine science, and also suggest new avenues that can be explored using UVP6-equipped autonomous platforms.
Keyphrases
  • particulate matter
  • electronic health record
  • air pollution
  • public health
  • high speed
  • convolutional neural network
  • cross sectional
  • machine learning
  • data analysis
  • deep learning
  • quality improvement
  • low cost