Université du Québec à Trois-Rivières
Within the frozen water part of the Earth, spatial patterns and timing of landscape freeze/thaw (FT) state transitions are highly variable with measurable impacts to climate and hydrological processes. Satellite microwave measurements at various frequencies have been utilized to identify melt onset and landscape FT state, but with some limitations. 

The project goal is to provide improved seasonal FT information across various landscapes in Canada using multi-sensors microwave data. The development of the algorithm will be based on a large data record of soil temperatures networks from many of Canada's land cover types. The project will have substantial contribution to space science and technology to improve climatological, meteorological and hydrological process understanding and for model development and refinement efforts.