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Post-fire regrowth is an important component of carbon dynamics in Canada's boreal forests, yet observations of structural development following fire are lacking across this remote and expansive region. Here, we used Landsat time-series data (1985–2010) to detect high-severity fires in the Boreal Shield West ecozone of Canada, and assessed post-fire structure for > 600 burned patches (> 13,000 ha) using airborne light detection and ranging (lidar) data acquired in 2010. We stratified burned areas into patches of dense (> 50% canopy cover) and open (20–50% canopy cover) forests based on a classification of pre-fire Landsat imagery, and used these patches to establish a 25-year chronosequence of structural development...
    map background search result map search result map Characterizing residual structure and forest recovery following high-severity fire in the western boreal of Canada using Landsat time-series and airborne lidar data Measuring forest structure along productivity gradients in the Canadian boreal with small-footprint Lidar Assessing variability in post-fire forest structure along gradients of productivity in the Canadian boreal using multi-source remote sensing Characterizing residual structure and forest recovery following high-severity fire in the western boreal of Canada using Landsat time-series and airborne lidar data Measuring forest structure along productivity gradients in the Canadian boreal with small-footprint Lidar Assessing variability in post-fire forest structure along gradients of productivity in the Canadian boreal using multi-source remote sensing