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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Exploiting overlapping Landsat scene classifications and focal context to identify boreal disturbance mapping uncertainty

by Wesley Wu The Boreal Disturbance Database (BorealDB) is a spatial database constructed by Ouellette et al (2020) to map wildfire and timber harvesting disturbances within Ontario’s Managed Area (MA). Forest disturbances, such as wildfires and timber harvests, are ecological processes within forested landscapes that are intrinsic to the history and development of boreal forests.

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