In the near future, we will combine satellite imagery, onboard vessel AIS data and in situ vessel monitoring information to monitor the movement of vessels at sea.
This will enable us to identify vessel behavioral modes based on differences in movement behavior for promoting economically and environmentally sustainable management of the seas.
We will focus on estimating periods and locations of transiting, off-loading, and fishing activity. Our goal is to combine comprehensive but periodic detection of vessels and estimation of bearing and velocity of all vessels from satellite imagery with continuous GPS tracking of the subset of vessels that are licensed operating in the same fishery.
The fusion of these two data streams will provide adequate information on vessel behaviors from the legal vessels to allow estimation of activities by illegal vessels. This concept of data fusion for estimation of movement behavior is novel in the monitoring, control and surveillance literature and will provide a significant advance in the national and international control of illegal fishing specifically.
Although our methods are currently focusing on the detection of fishing vessels, they are widely applicable to detection of anomalous behavior and have the potential to improve detection of unauthorised border crossings, piracy, and other illegal activities.