UNCLASSIFIED Leveraging Automatic Identification Systems to map global

UNCLASSIFIED Leveraging Automatic Identification Systems to map global maritime vessel traffic John Lowell Sr GEOINT Authority, Maritime The overall classification of this presentation is: Classified by: Derived from: Declassify on: Approved for public release, 21 -304 UNCLASSIFIED

UNCLASSIFIED Global monthly vessel traffic grids at 1 -km scale for October 2020 Low (~1 hr) Mid (~3 hr) High (~10 hrs Vessel Density Data Source: NGA/private industry The Project Analyzes Years of AIS Historical Data + Ongoing Live Feeds Billions of Historical Records + Millions of New Records Added Every Month 2 Approved for public release, 21 -304 UNCLASSIFIED

UNCLASSIFIED Methods Goal 1: Global AIS Product - Produce historical global maritime traffic density maps leveraging S-AIS Goal 2 Co-design Proactively engage mission partner users in the development process Goal 3 Wide dissemination - Develop, stand-up, and maintain public facing OGC Services (i. e. WMS) Adapted from the Published EMODNet AIS Density Methodology generating a GLOBAL 1 km Grid Squares containing calculations of Ship Hours per Month 3 Approved for public release, 21 -304 UNCLASSIFIED

UNCLASSIFIED Panama Canal Traffic in October 2020 E. g. Types: Low (~1 hr) All Ship Types Vessel Density Data Source: NGA/private industry Tankers 4 Approved for public release, 21 -304 UNCLASSIFIED Mid (~3 hr) High (~10 hrs • • • Cargo High-Speed Other Passenger Pleasure Craft Sailing Service Tanker Tug & Towing Unknown

UNCLASSIFIED Dissemination Vessel Density Data Source: NGA/private industry Screenshot of International Hydrographic Organization (IHO) INTo. GIS showing October 2020 traffic data 5 Approved for public release, 21 -304 UNCLASSIFIED