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Detection of Ocean Litter Plastics with Hyper-to-multispectral Infrared Neural Networks (DOLPHINN)

Successfully mitigating the damage caused by marine litter requires large-scale, accurate mapping of oceanborne plastics across the globe. Quantifying where and how much plastic debris enters the marine environment in a global spatio-temporal sense is critical in formulating solutions to the plastic pollution problem. Satellite-based measurements can help to survey remote, isolated locations in which direct observations are sparse, costly, and difficult.

Canada

20-D-S-TEC-01-d

MDA systems

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