A proof-of-concept for a new method has now been published allowing us automatically detect and measure large floating marine debris, using action cameras onboard vessels in transit.
Title: Quantifying Floating Plastic Debris at Sea Using Vessel-Based Optical Data and Artificial Intelligence
Authors: Robin de Vries, Matthias Egger, Thomas Mani and Laurent Lebreton
Citation: 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
Open Access: Yes
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
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