Turning data into insights for effective fisheries monitoring and uncovering hidden IUU fishing

The world’s most comprehensive AIS data

We continually ingest both satellite and terrestrial AIS data from exactEarth.

Managing a large volume of global AIS is a complex big data challenge. We’ve overcome this with a mix of proprietary and open source algorithms and machine learning models.

Turning AIS data into fisheries insights

Fishing activity can be broken down by flag state and is available for real-time and historical analysis, letting you see what’s happening now and understand year-on-year change. Encounters between vessels are also highlighted which may signify exchange of fish, fuel, cargo, or people.

Buoys using AIS transponders are detected and hidden by default, reducing noise. However, these can be turned on to track the movement of fishing equipment and in some cases uncover the movement of non-reporting, or ‘dark’ fishing vessels.

Using satellite data for dark vessel detection

To provide a complete picture of both reporting and dark vessels in your area of interest we use additional satellite data. We combine these data sources in near real-time with AIS locations to detect dark vessels at sea, and indicate areas for further investigation. We’re data agnostic and focus on using the most appropriate information for the challenge at hand.

Ensuring assets are effectively used during an operation

Knowing when and where to deploy aerial and on the water assets can improve the impact of a maritime surveillance operation. Using Starboard we study historical fishing patterns and vessels of interest to know where it is best to not only task satellite acquisitions but also where it is best to deploy on the water and aerial assets.

Ingesting data from operation assets to tell the whole story

Data from both aerial and on the water assets is layered with satellite and AIS data. Photos and observation notes from assets are ingested into Starboard, creating rich vessel histories which lead to a better understanding of vessels in your areas of interest.

Bringing dispersed teams and disparate data together

Teams in different locations can share the exact same geospatial intelligence picture including data from satellites, assets and AIS. Starboard provides a shared platform which is invaluable when several teams, government agencies or even countries are involved.

Co-develop new risk assessment models

We have a cross-functional team of scientists and engineers that co-develops risk assessment models with customers, which are then integrated into Starboard. The above example shows biosecurity risk models for the New Zealand government. In fisheries, for example, we could co-develop a model to evaluate fishing registration details against areas of fishing activity.

Add your organisational data to Starboard

We work in a private and secure domain, meaning organisations can bring their data into Starboard and it is only available to them. Through co-development we can set up automatic processes to ingest both one off data, and continuous data like fisheries’ vessel monitoring system (VMS) data.