University of Ottawa
Ocean-colour remote sensing is used to monitor a multitude of physical and biological characteristics and changes in our oceans, and to map seafloor habitats and bathymetry. This technology relies on atmospheric radiative transfer models calibrated with data from low-mid latitudes, and frequently fails in the Arctic, where the humidity and composition of the atmosphere is different. Since global environmental change is most rapid in the Arctic, there is a need to address this situation.
 
This project aims to improve atmospheric correction for the Arctic, for current and future ocean-colour sensors. The team will produce a large dataset containing field observations of the water-leaving light field, as well as ancillary information on water depth, benthic habitat and water quality. This will allow researchers to test and improve their calibration/correction approaches.