Intelligent computer vision for arctic sea ice mapping

David Clausi headshot

David A. Clausi, Faculty of Engineering, Systems Design Engineering

Advances in computer software and technology are creating new opportunities for research on the impacts of climate change. With advanced intelligent computer vision models and algorithms, David A. Clausi, Linlin Xu and their team, are generating high-resolution sea ice maps of the arctic using remote sensing images from world class Canadian satellites, such as RADARSAT-2 and the RADARSAT Constellation Mission (RCM). These models and algorithms have been implemented into MAGIC (Map-Guided Ice Classification), a software system used for sea ice monitoring that reads and classifies images provided by the Canadian Ice Service (CIS). Clausi and Xu’s work is helping researchers measure and understand the changes occurring to sea ice, in addition to supporting  marine navigation in a warming world.