Operational Monitoring of Illegal Fishing in Ghana through Exploitation of Satellite Earth Observation and AIS Data

• Published in: Remote sensing (Basel, Switzerland) Switzerland), 2019-02, Vol.11 (3), p.293
• Main Authors: Kurekin, Andrey, Loveday, Benjamin, Clements, Oliver, Quartly, Graham, Miller, Peter, Wiafe, George, Adu Agyekum, Kwame
• Format: Article
• Language: English
• Subjects: automatic identification system (AIS); Automation; Coastal fisheries; Coastal management; Coastal zone management; Commercial fishing; Constant false alarm rate; constant false alarm rate (CFAR); Data processing; Earth observation; Earth observations (from space); Economics; Fish; Fish conservation; Fisheries; Fisheries management; Fishing; Fishing zones; Ground stations; Illegal fishing; Information processing; Marine ecosystems; Monitoring; Monitoring systems; Object recognition; Remote sensing; Satellite observation; Surveillance; Surveillance radar; Synthetic aperture radar; synthetic aperture radar (SAR); unreported and unregulated fishing (IUU); vessel detection; Vessels
• ISSN: 2072-4292; 2072-4292
• DOI: 10.3390/rs11030293

Over the last decade, West African coastal countries, including Ghana, have experienced extensive economic damage due to illegal, unreported and unregulated (IUU) fishing activity, estimated at about USD 100 million in losses each year. Illegal, unreported and unregulated fishing poses an enormous threat to the conservation and management of the dwindling fish stocks, causing multiple adverse consequences for fisheries, coastal and marine ecosystems and for the people who depend on these resources. The Integrated System for Surveillance of Illegal, Unlicensed and Unreported Fishing (INSURE) is an efficient and inexpensive system that has been developed for the monitoring of IUU fishing in Ghanaian waters. It makes use of fast-delivery Earth observation data from the synthetic aperture radar instrument on Sentinel-1 and the Multi Spectral Imager on Sentinel-2, detecting objects that differ markedly from their immediate background using a constant false alarm rate test. Detections are matched to, and verified by, Automatic Identification System (AIS) data, which provide the location and dimensions of ships that are legally operating in the region. Matched and unmatched data are then displayed on a web portal for use by coastal management authorities in Ghana. The system has a detection success rate of 91% for AIS-registered vessels, and a fast throughput, processing and delivering information within 2 h of acquiring the satellite overpass. However, over the 17-month analysis period, 75% of SAR detections have no equivalent in the AIS record, suggesting significant unregulated marine activity, including vessels potentially involved in IUU. The INSURE system demonstrated its efficiency in Ghana’s exclusive economic zone and it can be extended to the neighbouring states in the Gulf of Guinea, or other geographical regions that need to improve fisheries surveillance.