Our work is organized around six main research themes.
Developing and testing methods to estimate shallow-water bathymetry from optical and lidar satellite data, and applying these methods to diverse coastal and inland environments, with a focus on the Canadian Arctic Ocean.
Using remote sensing and in situ observations to map benthic and coastal habitats, including kelp, seagrass, coral, macroalgae, and other key ecosystem components.
Monitoring optically active water constituents, turbidity, and related optical properties through satellite time series to track environmental status and support management.
Detecting and quantifying changes in bathymetry, habitat extent, and water quality over time, using multi-mission and multi-decadal satellite archives.
Developing self-supervised and representation learning approaches for Earth observation, leveraging large volumes of unlabelled data to improve downstream classification and regression tasks.
Designing and testing satellite-based methods for detecting the North Atlantic right whale (NARW), with a focus on operational integration into alert systems that support conservation management.
Ongoing projects in the lab span method development, large-scale applications, and collaborations with partners working in coastal and inland waters.
The objective of this project is to demonstrate a three-step methodology for detecting North Atlantic right whales (NARW) using satellite data, and to integrate this methodology into the existing governmental alert system in the Gulf of St. Lawrence.
This research project will test existing methods to map and monitor i) benthic habitat, ii) water depth, and iii) water quality with high-resolution optical satellite data. The study takes place on the St. Lawrence River north of Montreal, in the context of the Contrecoeur Port Terminal expansion project.
A selection of recent publications from the lab related to our core research themes.