The LandCoM project aims to develop an automated method for evaluating by remote sensing the percentage of soil cover by crop residues and cover crops.
Develop and validate a method for analyzing satellite remote sensing images to distinguish and quantify in the early spring period the percentage of soil cover by grassland, cover crops and crop residues on a return of annual field crops.
Carried out in collaboration with INRS-ETE, the analytical approach of CarTéCoS is based on a three-scale methodology:
From 2021 to 2023
The Rivière de la Roche sub-watershed has one of the highest phosphorus and sediment export rates of the entire Missisquoi Bay watershed—a particularly challenging situation for the local agricultural sector.
Researchers: Aubert Michaud, retraité Luc Belzile
The objective of this project is to develop a prediction model for soil nitrogen supplies based on biological soil health indicators.
Researcher: Christine Landry
Economic analysis of a three-year project aimed at testing methods of reducing and correcting surface soil compaction.
Researcher: Luc Belzile