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Good practice Imported

Global Fishing Watch — AI-Powered Satellite Tracking Catches Illegal Fishing in Kiribati's Phoenix Islands Protected Area

Kiribati · Tarawa · See the Kiribati profile · See the Tarawa profile

Evidence: Descriptive / self-reported Top 22% 73/100 · Ask Evidence Copilot about this practice

In 2015, Kiribati's fisheries enforcers used Global Fishing Watch's AI vessel-tracking platform to prove a foreign purse seiner was fishing illegally inside the Phoenix Islands Protected Area, leading the vessel's owners to pay Kiribati $2 million in fines and goodwill funds.

408,250 km²
Area of the Phoenix Islands Protected Area monitored
2 $ million
Total fine and goodwill payment from the vessel's owners (2015)
22 million/day
AIS messages processed daily by the wider Global Fishing Watch system (2017)
200+
Google cloud-computing cores used by the wider system (2017)
Global Fishing Watch — AI-Powered Satellite Tracking Catches Illegal Fishing in Kiribati's Phoenix Islands Protected Area

Details

Maturity
Established
Promoter
Kiribati Ministry of Fisheries and Marine Resources Development, using Global Fishing Watch technology
Period
2015-2016
Keywords
fisheries, environment, maritime enforcement

Context

Kiribati's Phoenix Islands Protected Area (PIPA) is one of the world's largest marine protected areas, covering roughly 408,250 km² of central Pacific ocean. When commercial fishing was banned there from 1 January 2015, the Kiribati government had only a handful of patrol vessels to monitor an area larger than California.

Objectives

Global Fishing Watch — a public satellite-tracking platform built by Oceana, SkyTruth and Google Earth Outreach — was used to give Kiribati's under-resourced fisheries enforcers a way to detect and prove illegal fishing inside PIPA's vast boundaries.

Activities

The platform analyses Automatic Identification System (AIS) signals with machine-learning classifiers that read vessel speed, heading and other motion patterns to infer likely fishing behaviour, then cross-references detections against vessel-ownership registries. In June 2015, Global Fishing Watch data showed a Marshall Islands-flagged purse seiner operating inside PIPA's boundaries; Kiribati's fisheries enforcers used the AIS track as evidence and escorted the vessel to port.

Results

Confronted with the satellite track record, the vessel's owners ultimately paid Kiribati roughly $2 million — a $1 million fine plus a $1 million 'goodwill' grant. At the time of a 2017 Scientific American profile, the wider system was processing about 22 million AIS messages a day across more than 200 Google cloud-computing cores, tracking tens of thousands of vessels worldwide.

Conclusions

The technology has real limits: Global Fishing Watch cannot detect vessels that switch off their AIS transponders, and a review of the PIPA area found some operators went fully 'dark' after enforcement actions began. Kiribati also relies on third-party NGO/tech-sector tooling rather than a government-built system, with no dedicated oversight body described for how the platform is used operationally.

Implementation

Indicative cost
Low (< €50k) — Kiribati uses the freely available Global Fishing Watch platform built and maintained by Oceana, SkyTruth and Google Earth Outreach rather than commissioning its own system, so no dedicated Kiribati government build cost is documented.
Time to results
Long (> 3 years) — Commercial fishing was banned in PIPA from 1 January 2015 and Global Fishing Watch-based monitoring has continued since, including the documented June 2015 enforcement case.
Staffing & skills
Kiribati Ministry of Fisheries and Marine Resources Development enforcement crews, Oceana, SkyTruth and Google Earth Outreach, who built and maintain the Global Fishing Watch platform

Conditions for success

  • a freely available, publicly accessible satellite AIS-analytics platform
  • cross-referencing of AIS detections against vessel-ownership registries to build an evidentiary case
  • willingness and capacity of national enforcers to act on the data, including intercepting and escorting a vessel to port.

Common failure modes

  • vessels can evade detection entirely by switching off their AIS transponders, and some operators went 'dark' after enforcement began
  • no dedicated government oversight body is described for how the platform is used operationally.

Where it fits

Governance type
national fisheries ministry using third-party NGO-built tooling
Scale
single large marine protected area (408,250 km²)
Income level
lower-middle-income

Commonly funded by

Philanthropic / foundation funding

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Data sources

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