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Communication

Quantifying Floating Plastic Debris at Sea Using Vessel-Based Optical Data and Artificial Intelligence

1
The Ocean Cleanup, Batavierenstraat 15, 3014 JH Rotterdam, The Netherlands
2
Egger Research and Consulting, 9000 St. Gallen, Switzerland
3
The Modelling House, Raglan 3225, New Zealand
*
Author to whom correspondence should be addressed.
Academic Editor: SeungHyun Son
Remote Sens. 2021, 13(17), 3401; https://doi.org/10.3390/rs13173401
Received: 30 June 2021 / Revised: 14 August 2021 / Accepted: 19 August 2021 / Published: 27 August 2021
(This article belongs to the Special Issue Remote Sensing of Plastic Pollution)
Despite recent advances in remote sensing of large accumulations of floating plastic debris, mainly in coastal regions, the quantification of individual macroplastic objects (>50 cm) remains challenging. Here, we have trained an object-detection algorithm by selecting and labeling footage of floating plastic debris recorded offshore with GPS-enabled action cameras aboard vessels of opportunity. Macroplastic numerical concentrations are estimated by combining the object detection solution with bulk processing of the optical data. Our results are consistent with macroplastic densities predicted by global plastic dispersal models, and reveal first insights into how camera recorded offshore macroplastic densities compare to micro- and mesoplastic concentrations collected with neuston trawls. View Full-Text
Keywords: ocean plastic pollution; marine debris; macroplastic; microplastic; offshore; remote sensing; vessel-based; camera-based; North Pacific Ocean ocean plastic pollution; marine debris; macroplastic; microplastic; offshore; remote sensing; vessel-based; camera-based; North Pacific Ocean
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MDPI and ACS Style

de Vries, R.; Egger, M.; Mani, T.; Lebreton, L. Quantifying Floating Plastic Debris at Sea Using Vessel-Based Optical Data and Artificial Intelligence. Remote Sens. 2021, 13, 3401. https://doi.org/10.3390/rs13173401

AMA Style

de Vries R, Egger M, Mani T, Lebreton L. Quantifying Floating Plastic Debris at Sea Using Vessel-Based Optical Data and Artificial Intelligence. Remote Sensing. 2021; 13(17):3401. https://doi.org/10.3390/rs13173401

Chicago/Turabian Style

de Vries, Robin, Matthias Egger, Thomas Mani, and Laurent Lebreton. 2021. "Quantifying Floating Plastic Debris at Sea Using Vessel-Based Optical Data and Artificial Intelligence" Remote Sensing 13, no. 17: 3401. https://doi.org/10.3390/rs13173401

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