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Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Marine & Wildlife Sign in to save

Technologies for Ocean Sensing project developments in imaging and sensing

2023 1 citation ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Matthew C. Mowlem, Filipa Carvalho, Rudolf Hanz, Ehsan Abdi, Camile Catalano, Katherine Hartle Mougiou, Rana Abu‐Alhaija, Susan Evans, Daniel R. Hayes, Ahmed Alrefaey, Reuben Forrester, Jean‐Olivier Irisson, Martin Arundel, Sarah Giering, Sarah Giering, Kevin Köser, Nathan Briggs, Electra Gizeli, Patricia López‐García, Wahida T. Bhuiyan, Peter Glynne‐Jones, Jake Ludgate, Jonathan Butement, Lionel Guidi, Miguel Massot Campos, Christopher L. Cardwell, Weili Guo, Jon McQuillan, Marina Montresor, Efstathios Papadimitriou, Allison Schaap, C. Mark Moore, Matthew Patey, Nina Schuback, Hywel Morgan, Marc Picheral, Marc Picheral, Blair Thornton, Mojtaba Masoudi, Fiona Regan, Martha Valiadi, Caroline Murphy, Julie Robidart, John Walk, Andrew Morris, Fabrizio Siracusa, Xiangyu Weng, David Nakath, Dan Spenser, E. O. Wilson, Kevin Oxborough

Summary

The TechOceanS project is developing five new low-cost ocean sensor classes to better monitor biogeochemistry and ecosystems, supporting broader ocean measurement toward net-zero goals. These sensors aim to close major gaps in understanding ocean health, including plastic pollution monitoring.

Study Type Environmental

The TechOceanS project is developing new remote ocean sensing technology supporting wider ocean measurement and a drive to net zero. The project will deliver 5 new sensor classes for biogeochemistry, biology and ecosystems addressing 10 of 19 EOVs, 31 of 73 subvariables, 6 of 9 MSFD targets together with microplastics and a range of biotoxins and contaminants. It will also develop a new image processing workflow for extracting EOVs (9) and MSFD (6) and litter measurements from images. These innovations concentrate on key capability gaps in ocean observing from non-ship systems with a focus on low-cost per measurement through minimised instrument and deployment costs. This paper gives a brief overview of the technologies, and were possible, because of progress or protection of intellectual property, details of our approaches and early results.

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