Monitoring marine plastic pollution requires repeated, long-term, global and harmonised observations of plastic presence, quantity and type, which satellites can provide. To convince space agencies to take action, coordinated activities are urgently needed to agree on target environments and to integrate in situ and satellite-derived measurements.
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References
Kaza, S., Yao, L. C., Bhada-Tata, P. & Van Woerden, F. What a Waste 2.0: A Global Snapshot of Solid Waste Management to 2050 (World Bank, 2018); https://elibrary.worldbank.org/doi/abs/10.1596/978-1-4648-1329-0
Lebreton, L. et al. Evidence that the Great Pacific Garbage Patch is rapidly accumulating plastic. Sci. Rep. 8, 4666 (2018).
Maximenko, N. et al. Toward the integrated marine debris observing system. Front. Mar. Sci. 6, 1–25 (2019).
Biermann, L., Clewley, D., Martinez-Vicente, V. & Topouzelis, K. Finding plastic patches in coastal waters using pptical satellite data. Sci. Rep. 10, 1–10 (2020).
Hu, C. Remote detection of marine debris using satellite observations in the visible and near infrared spectral range: Challenges and potentials. Remote Sens. Environ. 259, 112414 (2021).
Garaba, S. P. et al. Sensing ocean plastics with an airborne hyperspectral shortwave infrared imager. Environ. Sci. Technol. 52, 11699–11707 (2018).
Acuña-Ruz, T. et al. Anthropogenic marine debris over beaches: Spectral characterization for remote sensing applications. Remote Sens. Environ. 217, 309–322 (2018).
Ryan, P. G., Pichegru, L., Perolod, V. & Moloney, C. L. Monitoring marine plastics - will we know if we are making a difference? South Afr. J. Sci. 116, 1–9 (2020).
Zhou, S. et al. Identifying distinct plastics in hyperspectral experimental lab-, aircraft-, and satellite data using machine/deep learning methods trained with synthetically mixed spectral data. Remote Sens. Environ. 281, 113263 (2022).
Livens, S., Knaeps, E., Benhadj, I., Bomans, B. & Dries, J. Feasibility sssessment of a dedicated satellite mission for monitoring marine macroplastics. In 4S Symposium (Research Gate, 2022).
Acknowledgements
The author thanks the Task Force on Marine Litter, specifically Core Topic 1 Technology members, for their discussions, and K. Flynn for feedback on an early version of the Comment. Ideas for this Comment originated while preparing for the side events at the UN Ocean conference in Lisbon in June 2022 organised by International Atomic Energy Agency, in the frame of Nuclear Technology for controlling plastic pollution (NUTEC plastics) initiative, and by the Global Ocean Observing System (GOOS) in the frame of the International Marine Debris Observing System (IMDOS) initiative. The author is funded by Discovery Element of the European Space Agency’s Basic Activities (4000132212/20/NL/GLC) and EO Science for Society Open Call (40000123928/18/I-NB).
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Martinez-Vicente, V. The need for a dedicated marine plastic litter satellite mission. Nat Rev Earth Environ 3, 728–729 (2022). https://doi.org/10.1038/s43017-022-00360-2
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DOI: https://doi.org/10.1038/s43017-022-00360-2
