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

水下 浮游生物 海洋工程 遥感 环境科学 粒子(生态学) 海洋学 工程类 地质学
作者
Marc Picheral,C. Catalano,Denis Brousseau,Hervé Claustre,Laurent Coppola,Édouard Leymarie,Jérôme Coindat,Fábio Ferreira Dias,Sylvain Fevre,Lionel Guidi,Jean‐Olivier Irisson,Louis Legendre,Fabien Lombard,Laurent Mortier,Christophe Penkerc’h,Andreas Rogge,Catherine Schmechtig,Simon Thibault,Thierry Tixier,Anya M. Waite
出处
期刊:Limnology and Oceanography-methods [Wiley]
卷期号:20 (2): 115-129 被引量:86
标识
DOI:10.1002/lom3.10475
摘要

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 μm) 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.
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