Assessing forest disturbance and recovery with spatial and temporal structural morphology

Principal Investigator: Tarmo Remmel. Funding: NSERC Discovery Grant. Term: 2021-2026. The project is developing an explicit logic and corresponding software to extend morphological segmentation to depict a true 3D characterization of landscapes. Methods will be subject to sensitivity analysis and will be used to compare the effects and recovery of landscape processes such as fire,

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Developing a spatial database of fire, harvesting, and road disturbances in Ontario’s boreal forest

Ontario’s boreal forest is a large and heterogeneous area. Not only is it the most extensive of all vegetation types in Ontario (about 45 million hectares and representing 50% of the province), but it also includes at least 7 ecoregions due to its geo-climatic variability. Almost all of this boreal forest area, nearly 30 million

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