Vessel Detections Dataset from Sentinel-1 SAR
Updates to the data download portal include a new vessel detections dataset and SAR detection footprints.
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New Vessel Detections Dataset in APIs
Vessel detections from Sentinel-1 SAR are now available through our 4Wings API.
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Better Ocean Governance Requires Cross-Sector Collaboration
Governments and civil society must work together to harness the full power of transparency and technology, says Luke Bantock Enhancing ocean governance starts with understanding what goes on at sea and empowering people everywhere to act on that knowledge. At Global Fishing Watch, we are driven by our mission to make the invisible visible—harnessing advanced
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Global Fishing Watch Commends Senegal’s Publication of Fishing Vessel List
Program manager for West and Central Africa, Dame Mboup, applauds Senegalese Ministry’s latest move towards greater transparency. But, he adds, more can still be done. DAKAR, Senegal – The Government of Senegal’s decision to publish the list of vessels authorized to fish in its national waters is a welcome and much-needed measure towards a more
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Error in Underlying AIS and VMS Data
Errors in fishing effort and fishing event data have been fully resolved.
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At Our Ocean Conference, Global Fishing Watch welcomes international partnerships to enhance ocean management
Key collaborations will bolster fisheries governance through greater transparency, data-sharing and policy reform ATHENS, Greece – Global Fishing Watch, an international nonprofit organization dedicated to advancing ocean governance through transparency of human activity at sea, has announced three pioneering collaborations with Greece, Panama and the West African Sub-Regional Fisheries Commission (SRFC) in a bid to
New Vessel Insights
Vessel identity and activity insights are now available in Vessel Viewer and our APIs.
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View Archived Platform and Data Updates
Older platform and data updates can be viewed here
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Technology Supports Marine Protection in the Mediterranean Sea
AI Offers Hope to Albatrosses threatened by Longline Fishing Fleets
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Research Helps Unmask Shifting Vessel Identities in the Global Fishing Fleet
Using multiple data sources, researchers gain new understanding of vessel reflagging and potential unauthorized activity
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Ask the Expert: Tim Hochberg, Senior machine learning engineer
Ask the Expert Tim Hochberg Senior machine learning engineer How do you match automatic identification system data with satellite imagery to identify publicly tracked vessels? Automatic identification systems, commonly referred to as AIS, transmit a ship’s position and alerts others to its whereabouts. While originally designed as a collision avoidance mechanism, AIS is regularly used
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Ask the Expert: Pete Davis, Data scientist
Ask the Expert Pete Davis Data scientist What challenges exist in identifying offshore oil and wind structures when developing fixed infrastructure models? Creating a picture of what’s taking place beyond the horizon is far from easy. Our recent study analyzed 2 million gigabytes of satellite imagery to detect vessels and offshore infrastructure in coastal waters
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Ask the Expert: Fernando Paolo, Senior remote sensing machine learning engineer
Ask the Expert Fernando Paolo Senior remote sensing machine learning engineer How is satellite data used to map human activity at sea? Analyzing large data streams of satellite synthetic aperture radar (SAR) and optical imagery–a core component of the work we do at Global Fishing Watch–requires a complex workflow. A constellation of satellites image the
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Ask the Expert: Luca Marsaglia, Fisheries analyst, European Union
Ask the Expert Luca Marsaglia Fisheries analyst, European Union What is the value of using research-derived datasets in analyses? Fisheries management is no simple task. The distribution of species, changes in productivity, management boundaries, illegal fishing and corruption are all factors that make oversight and governance of fisheries challenging. And the Mediterranean Sea is no exception.
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New research harnesses AI and satellite imagery to reveal the expanding footprint of human activity at sea
Study reveals 75 percent of the world’s industrial fishing vessels are hidden from public view WASHINGTON, D.C. – A new study published today in the journal Nature offers an unprecedented view of previously unmapped industrial use of the ocean and how it is changing. The groundbreaking study, led by Global Fishing Watch, uses machine learning