SeaNet detects macroplastics in near-real time,
predicts their drift like a weather system,
and
reveals evolving hotspots on an interactive,
radar-style map.
We translate satellite cues and ocean models into daily, practical guidance for cleanup teams, coastal managers, NGOs, and policymakers. SeaNet makes plastic movement visible, predictable, and actionable.
Figures are MVP targets; subject to validation and region.
Explore a radar-like view of evolving plastic hotspots with overlays for currents, wind, and model confidence. Time-scrub from now to +5 days.
SeaNet combines satellite imagery, ocean models, and machine learning into one scalable platform for tracking objects at sea. The system processes Sentinel-2 data to detect targets, seeds particle-drift simulations with real-time met-ocean forcing, and delivers short-term trajectory forecasts on an interactive radar-style map.
Sentinel-2 imagery → spectral indices → target identification.
Cross-reference with known data → confirmed locations.
Particle drift models driven by currents & wind.
Interactive map with areas, trajectories & confidence.
By turning hidden threats into visible data, our real-time tracking empowers scientists, cleanup teams, logistics operators, and communities to act where it matters most — protecting marine life and unlocking commercial value from ocean intelligence.
Up to 10% of marine litter comes from lost fishing gear, which entangles and kills around 640,000 marine animals every year. Our real-time tracking database shows exactly where nets are drifting, helping cleanup teams act fast and save lives.
More than 1 million plastic bottles are sold every minute, many ending up in rivers and oceans. We map hotspots so cleanup teams can act fast, making removals quicker and more efficient.
Wrappers rank among the top 10 coastal plastics and are often fatal when seabirds and turtles mistake them for food. Our system highlights where they cluster, saving scientists hours of searching. Removing just 10,000 wrappers could spare hundreds of seabirds from starvation.
The same satellite detection and drift-forecasting engine that tracks plastic pollution can be applied to commercial maritime challenges — from lost cargo to fleet optimization.
Every year an estimated 1,000+ shipping containers are lost at sea. SeaNet's drift prediction models can locate and forecast the trajectory of lost containers, reducing recovery time and costs for insurers and shipping lines.
Ports, offshore operators, and aquaculture farms can use SeaNet to monitor floating assets and infrastructure in near-real time — reducing losses and improving operational planning through satellite-based awareness.
Insurers and coastal planners can leverage SeaNet's hotspot data and drift forecasts to quantify marine debris risk, optimize policy pricing, and support evidence-based damage prevention strategies.
A short PDF outlining indices, validation strategy, and drift model settings. Versioned for reproducibility.
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