Combining the Underwater Vision Profiler 6 with sediment traps to measure in situ velocity of marine particles

Abstract Particles sinking from the surface to the deep ocean play a key role in the biological carbon pump, whose efficiency depends partly on sinking velocities. Over the last decade, in situ imaging has enabled critical advances in our understanding of particle dynamics in the ocean. Yet, in situ velocity measurements are scarce and often inferred only from the bulk population of particles. Here, we introduce the VisuTrap , a new tool to measure in situ velocities of marine particles. It consists of an Underwater Vision Profiler 6 (UVP6) camera inserted into different types of sediment traps, which isolate a volume of water. Continuous image acquisition during short‐term or long‐term deployments enables reconstruction of particle tracks and estimation of their in situ vertical velocities. We detail the configuration and special UVP6 settings for this application, as well as the image processing and track analysis pipeline. Then, we present results from several experiments in the Mediterranean Sea to illustrate the VisuTrap 's use as a new approach to understand the dynamical behavior of marine particles in situ. In light of the broad range of morphological data generated by the UVP6, we discuss technical additions to refine in situ velocity measurements and the possibility of integrating such data into carbon flux assessments.

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Publication Details

Journal
Limnology and Oceanography Methods
Published
2026-04-01
DOI
https://doi.org/10.1002/lom3.70052
Primary Topic
Marine and coastal ecosystems
Type
article
Field-Weighted Citation Impact
0.00

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article

Combining the Underwater Vision Profiler 6 with sediment traps to measure in situ velocity of marine particles

Manon Laget, T. Biard, Alexandre Accardo, Lionel Guidi et al.
Limnology and Oceanography Methods
Marine and coastal ecosystems
article

Combining the Underwater Vision Profiler 6 with sediment traps to measure in situ velocity of marine particles

Manon Laget, T. Biard, Alexandre Accardo, Lionel Guidi, Camille Catalano, Marc Picheral
article en

Abstract

Abstract Particles sinking from the surface to the deep ocean play a key role in the biological carbon pump, whose efficiency depends partly on sinking velocities. Over the last decade, in situ imaging has enabled critical advances in our understanding of particle dynamics in the ocean. Yet, in situ velocity measurements are scarce and often inferred only from the bulk population of particles. Here, we introduce the VisuTrap , a new tool to measure in situ velocities of marine particles. It consists of an Underwater Vision Profiler 6 (UVP6) camera inserted into different types of sediment traps, which isolate a volume of water. Continuous image acquisition during short‐term or long‐term deployments enables reconstruction of particle tracks and estimation of their in situ vertical velocities. We detail the configuration and special UVP6 settings for this application, as well as the image processing and track analysis pipeline. Then, we present results from several experiments in the Mediterranean Sea to illustrate the VisuTrap 's use as a new approach to understand the dynamical behavior of marine particles in situ. In light of the broad range of morphological data generated by the UVP6, we discuss technical additions to refine in situ velocity measurements and the possibility of integrating such data into carbon flux assessments.

Limnology and Oceanography Methods
Centre National de la Recherche Scientifique (FR), Dalhousie University (CA), Université de Lille (FR), Sorbonne Université (FR), Laboratoire d’Océanographie de Villefranche (FR), Laboratoire d’Océanologie et de Géosciences (FR), Institut de Recherche pour le Développement (FR)
National Science Foundation, Institut Français de Recherche pour l'Exploitation de la Mer, Australian Government, Agence Nationale de la Recherche, Centre National de la Recherche Scientifique
Life below water
Openalex Percentile: Top 30%
Marine and coastal ecosystems
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