MUSLS: Persistent Multi-Sensor Land Surveillance and Change Monitoring

Evaluating Earth Observation Data and Deep Learning Methods to Support Landscape Disturbance Mapping.

At a time of rising climate change impacts, there is a vital and growing need to help authorities and ordinary citizens prepare for, respond to, and recover from floods and other disasters.  

Improving Space-based Radar Reflectometry for Better Ocean State and Target Monitoring Using Advanced Data Processing.

Smart use of satellite data to develop solutions to key challenges on Earth and in our everyday lives. 

The project aims to develop a technology that can provide a reliable estimation of snow water equivalent for monitoring and forecasting of potential snowmelt flood events through utilizing RADARSAT Constellation Mission data.

Canada is water rich. It contains 7% of the world’s renewable freshwater. Considering the central importance of water to Canada’s economy and the increasing pressures on our water systems, better water management is crucial for Canada’s current and future economic and environmental security.

Monitoring small solar system bodies in order to evaluate potential hazards

Near-Earth objects (NEOs) are leftover building blocks from the early Solar System that have been nudged into Earth’s neighbourhood by the gravitational effects of nearby planets. The vast majority are comets and asteroids, which, when they come close to Earth pose a risk to humans as well as to civil infrastructures like buildings and urban areas.

Monitoring and verification of zero deforestation value chains through combining Artificial Intelligence and Earth Observation

Monitoring environmental related transhumance patterns and assessing the risk for population displacement

Earth observation-based information products for drought risk reduction at the national level