Water
Seahound / SeaLens
Maritime chokepoints, ports, routes, commodities, advisories, and operational state.
Stateful satellite-based maritime intelligence for supply-chain risk.
Monitored corridors
Situational awareness
Trans-Pacific lanes under elevated strain. LA/Long Beach and Panama Canal both at Severe — vessels are queueing at both gateways simultaneously, compressing westbound and eastbound flow.
Active chains
Ok Tedi → Kiunga → Fly River → Naoshima / Hamburg
Ok Tedi → Fly River → Brisbane Refinery
Ramu Mine → Basamuk → Madang → Qinzhou
Gulf Province → Lae Port → Manila Hub
Pilgangoora → Port Hedland → Guangzhou → Gwangyang → Long Beach
How it works
Sentinel-1 GRD scenes are calibrated and processed to identify targets whose radar backscatter, geometry, and polarisation characteristics are consistent with vessels. A statistical detection stage adapts to local sea-clutter conditions.
Observed backscatter is compared against what the ocean surface should produce given prevailing atmospheric conditions. This separates genuine vessel returns from environmental clutter, maintaining detection confidence across varying sea states.
Detection counts feed a graph-native commodity model — nodes are physical facilities, edges encode commodity flows and annual volume. Chokepoint congestion propagates through the graph to produce exposure views across global supply chains.
Seahound's processing pipeline incorporates proprietary machine learning algorithms developed for maritime SAR intelligence.