A Canadian-German Research Project


exactEarth Ltd., headquartered in Cambridge, Ontario, is a company jointly owned by COM DEV International Ltd and HISDESAT Servicios Estratégicos S.A. Following years of development of satellite AIS (S-AIS) within COMDEV Ltd. exactEarth was formed in 2009 as a subsidiary to advance this business line.

The exactAIS® service is a global vessel tracking and maritime domain monitoring system based on a world-leading space-based detection technology.

The resulting information can be used for a wide range of vital applications, including vessel monitoring for improved coastal security and navigational compliance, environmental impacts of shipping, and better data availability and precision for search and rescue.

Aside from supplying near real-time data worldwide, exactEarth can also provide customised historical reports or statistical analyses for a specified broad area-of-interest (AOI) or a particular passage or chokepoint within a prescribed timeframe.

In particular, exactEarth has produced an Arctic package of shipping data, a cornerstone for the improvements envisaged in the current proposal.

Our role

exactEarth plays a key role in forming the research questions and providing expert guidance in the application aspects of the models developed in this project.

More specifically, this company provides remote sensing data on ship characteristics based on AIS (Automatic Identification System). This not only involves massive data collection, organization and diffusion, but research advances continue apace to improve the coverage, reliability and fusion of the data streams.

Furthermore, exactEarth’s services have been applied over a broad set of stakeholders and applications spanning many parts of the world, including the Arctic. Their involvement in engaging stakeholders to assist with Dalhousie’s plan for determining needs and priorities for anomaly detection, maritime domain awareness, and risk reduction strategies is vital.

exactEarth’s goals of improving ship detection, identification and behaviour will be significantly enhanced through the new methods and algorithms developed in this project.