Emerging technology gives first ever global view of hidden vessels

Satellite radar and machine learning publicly reveal previously unseen vessel activity around the world

Satellite radar reveals dark vessels

Satellite radar imagery (orange) reveals on a global scale the density of “dark vessels”—those not broadcasting their position— compared to fishing vessels that appear in public monitoring systems (yellow). ©Global Fishing Watch
Satellite radar imagery (orange) reveals on a global scale the density of “dark vessels”—those not broadcasting their position— compared to fishing vessels that appear in public monitoring systems (yellow). ©Global Fishing Watch

Washington, D.C., June 08, 2022 (GLOBE NEWSWIRE) -- Global Fishing Watch has developed and publicly released the first ever global map of previously undetected dark fleets, or vessels that do not broadcast their location or appear in public monitoring systems.

 

Powered by satellite radar imagery and machine learning, the map layer is updated daily within the main Global Fishing Watch map application. The portal is available for free to anyone in the world with an internet connection, helping arm authorities, researchers and the public alike with the power to monitor vessel activity in all coastal waters, identify dark fleet patterns and build the necessary understanding to quantify threats to the ocean. The user-friendly new map layer helps create equitable access to marine-related data in time for World Ocean Day on June 8.

The lack of information pertaining to how and where vessels are fishing has clouded our understanding of the true global footprint of fishing activity. This makes meaningful change difficult. To see these impacts, satellite radar technology, known as synthetic aperture radar (SAR), functions day and night in all types of weather and can generate imagery despite cloud cover or storm systems, resulting in detection capabilities that are significantly advanced over other satellite-mounted sensors.

“It is surprising how little we have known to date about the true scale of human activity on the water,” said David Kroodsma, director of research and innovation at Global Fishing Watch. “If you combine vessels that intentionally shut off their signal with the significant number of boats that don’t make their whereabouts known in public systems at all, you end up with gaps in data, monitoring and accountability. We are using satellite radar imagery to reduce that information gap and put our findings at the fingertips of those who want to ensure our ocean is managed equitably and sustainably.”

 

The new global map layer draws from a massive data-processing pipeline and uses machine learning to crunch petabytes, or millions of gigabytes, of radar imagery taken by the European Space Agency’s Sentinel-1 satellites. By analyzing the entire archive of Sentinel-1 radar imagery, Global Fishing Watch has made 20 million detections of sea-going vessels greater than approximately 10 meters in length—and matched these detections to 100 billion GPS points from vessels broadcasting their position on the automatic identification system. This matching differentiates vessels that broadcast their position from those that remain dark in public monitoring systems, resulting in more comprehensive views of vessel movements across the global ocean. This information can help authorities pinpoint areas with suspicious activity and identify vessel patterns that may indicate illegal activity or previously unquantified fishing pressures.