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The Visibility Gap: From Ocean Plastic Data to Intelligence, Impact, and Verification
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Despite lots of good cleanup and recycling efforts happening worldwide, plastic is still pouring into our rivers and oceans—largely because groups working on the problem lack good data to target their efforts efficiently. This paper describes Retide, a new platform that combines satellite imagery and environmental data to help pinpoint pollution hotspots, track cleanup progress, and verify results, potentially making plastic removal efforts smarter and more effective. Less plastic in our waterways ultimately means less of it breaking down into microplastics that can end up in our food and water supply, so tools like this matter for protecting both ocean ecos
Across the world, NGOs, municipalities, community organizations, and private-sector initiatives are already working to address plastic pollution through cleanup, collection, recycling, and waste management programs. Many of these efforts demonstrate strong local knowledge, operational creativity, and deep understanding of the environments in which they operate. Yet despite this work, large-scale plastic leakage into rivers and the ocean continues. Retide emerged from this broader need for environmental intelligence infrastructure within the plastic recovery ecosystem. By integrating satellite observations, environmental datasets, and verification systems, the Retide platform is being developed to support more coordinated approaches to cleanup planning, impact measurement, environmental reporting, and scalable ocean recovery systems.
More Papers Like This
Monitoring Ocean Pollution: A Comprehensive Review of Satellite Image Analysis Methods
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This review paper looks at how satellites can be used to spot and track floating plastic waste in coastal waters, offering a faster and more efficient alternative to sending out boats or planes to survey pollution by hand. This matters because ocean plastic doesn't just harm marine life—it breaks down into microplastics that enter the food chain, potentially ending up on our plates, and it can leach toxic chemicals into the water we and marine animals depend on. Better satellite tracking could help identify pollution hotspots faster, making cleanup and prevention efforts more targeted and effective.
Seeing the forest for the plastic trees: a model-driven visualisation framework for material flow analysis
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Researchers created a visual mapping tool to track how plastic moves through six countries — from production to waste — even in places where data is scattered and incomplete. They found that even "data-scarce" countries actually have enough existing information to build a useful baseline picture of their plastic problem, which matters because you can't fix plastic pollution (and the microplastics that end up in our food, water, and bodies) without first knowing where it's coming from and where it's leaking into the environment. This kind of tracking system could help countries and policymakers target cleanup and prevention efforts more effectively, rather than guessing where the biggest problems lie.
Implementing AI in Ocean Waste Tracking and Management
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This review paper looks at how artificial intelligence, like satellite image analysis, can help spot and clean up ocean pollution such as plastic waste and oil spills more efficiently than traditional methods. This matters because ocean plastic breaks down into microplastics that enter the seafood we eat and even our drinking water, so better detection and cleanup could mean less of this pollution ending up in our bodies. The authors note that AI isn't a perfect fix yet, it requires huge amounts of data and has its own environmental costs, like energy use, so more research and teamwork across science, government, and industry are still needed.
Marine Debris Recognition with Artificial Intelligence
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Millions of tons of plastic enter our oceans every year, breaking down into tiny microplastics that work their way up the food chain and onto our plates. Researchers built an AI tool that scans underwater photos and automatically spots trash with about 82% accuracy, which could help cleanup groups and governments find and target pollution hotspots faster than manual monitoring allows. This kind of tech won't solve ocean plastic pollution on its own, but it's a practical step toward tracking the problem that ultimately threatens seafood safety and human health.
Ocean and River Plastic Waste Detection Using Computer Vision
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Millions of tons of plastic pour into our oceans every year, much of it carried by rivers—but tracking where it comes from has always relied on slow, manual surveys. This study built an AI camera system that automatically spots and counts floating plastic waste from drone and shoreline footage with over 91% accuracy, offering a faster way to find pollution hotspots. Better tracking matters because plastic waste that lingers in waterways breaks down into microplastics, which end up in the fish and water we consume, making tools like this useful for guiding cleanup efforts before pollution reaches our food and water supply.
Research digests by email
When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.