Program


Master’s degree in Geographic Sciences

Advisor


Jérôme Théau

Field of research


Remote sensing of linear agroforestry developments: importance of their structure for wildlife

The overall objective of the research is to explore the usefulness of remote sensing data for modelling the use of linear agroforestry (LAM) systems by medium and large mammals. Two remote sensing technologies, LiDAR and high spatial resolution multispectral imaging, will be used to derive metrics and indices that have high ecological significance.

Contact


camille.pelletier-guittier@usherbrooke.ca