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Interception of MV NIKA

Sharp decline in foreign fishing boats in Indonesian waters – Global Fishing Watch analysis

Jakarta, Indonesia – The presence of foreign fishing vessels in Indonesian waters has declined significantly since a ban was enacted in November 2014 by the Minister of Maritime Affairs and Fisheries, Susi Pudjiastuti, according to new analysis by Global Fishing Watch (GFW).  By analysing data from the Automatic Identification System (AIS) (1), an open source vessel tracking […]

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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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Datasets and Code: Vessel Identity

Datasets and Code: Vessel Identity Transparency plays a central role in promoting the sustainability of marine resources and advancing ocean governance. Information that allows us to better understand vessel identity is a fundamental part of transparency. But such information is often fragmented, incomplete or inconsistent across multiple sources, and sometimes it is not publicly available

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Global analysis shows where fishing vessels’ identification devices have been switched off

New research displays intentional disabling of automatic identification system devices to provide insights into illegal, unreported and unregulated fishing activity A new analysis harnesses automatic identification system, or AIS, data to provide information about global fishing activity, including illegal, unreported and unregulated fishing. Originally designed as a collision avoidance tool, AIS can be intentionally disabled—sometimes

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Publications

Publications 2024 Satellite mapping reveals extensive industrial activity at sea Fernando Paolo, David Kroodsma, Jennifer Raynor, Tim Hochberg, Pete Davis, Jesse Cleary, Luca Marsaglia, Sara Orofino, Christian Thomas and Patrick Halpin (2024).Read the paper – Press release 2023 Global prevalence of setting longlines at dawn highlights bycatch risk for threatened albatross David Kroodsma (GFW), Joanna

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GFW New night light layer squid fleet in the Pacific

Identification of ‘dark vessels’

Using bright lights to reveal the ‘dark’ fleet Christopher Elvidge with the U.S. National Oceanic and Atmospheric Administration (NOAA)’s Earth Observation Group writes about matching night-time imagery with monitoring data from fishing vessels to shed new light on the ‘dark’ fleet. The challenges with tracking vessels Vessel tracks from Automatic Identification System (AIS) and Vessel

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Iranian gillnet fishing vessel in Berbera harbour in 2015

Illegal Fishing Hotspot Identified in Northwest Indian Ocean

Nearly 200 Iranian vessels detected in Somali and Yemeni waters represent one of the world’s largest illegal fishing operations. Global Fishing Watch (GFW) and Trygg Mat Tracking (TMT) have been working with partners in the Northwest Indian Ocean region, including the Somali government, to identify large-scale illegal fishing that is occurring inside the waters of

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Squid Smarts: 5 Things You Need to Know about Jumbo Squid Fishing in the Southeast Pacific Ocean

An analysis of the 2020 squid season reveals key players and true scope of fishing activity The jumbo flying squid (Dosidicus gigas), commonly referred to as Humboldt squid, is the most abundant cephalopod species in the southeast Pacific Ocean. Each year, this voracious and highly migratory marine animal attracts hundreds of fishing vessels from around the world to

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Carrier Vessel Portal

Global Fishing Watch Carrier Vessels GO TO THE PORTAL About Global Fishing Watch Carrier Vessels Transshipment is a vital part of the global fishing industry, but it often takes place far out at sea, making it challenging for authorities to determine whether the catch being transferred is both legal and verifiable. To improve the understanding

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