Marine Traffic Data Added
Global Fishing Watch AIS data has been enhanced by the addition of Marine Traffic terrestrial receivers.
January 3, 2024
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
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