Testing LiDAR models of fractional cover across multiple forest ecozones

By C. Hopkinson, L. Chasmer. 2009

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Generalizing predictive models of forest inventory attributes using an area-based approach with airborne LiDAR data (2015, background): “When calculated in this manner, Pf is related to penetration of light through the canopy and is also well correlated with fractional cover (Hopkinson & Chasmer, 2009).”
Global, 30-m resolution continuous fields of tree cover: Landsat-based rescaling of MODIS vegetation continuous fields with lidar-based estimates of error (2013, background): “…solution in regions where lidar acquisition and processing are prohibited by cost, lidar provides highly accurate and consistent measurements of vertical and horizontal canopy structure, including cover (Hopkinson and Chasmer 2009; Hudak et al. 2009; Sexton et al. 2009; Smith et al. 2010).”
Improving leaf area index (LAI) estimation by correcting for clumping and woody effects using terrestrial laser scanning (2018, methodology): “Various studies have used DHP as validation for gap fraction and LAI measurements (Hopkinson and Chasmer, 2009; Korhonen et al., 2011; Morsdorf et al., 2006).”
Mapping gap fraction, LAI and defoliation using various ALS penetration variables (2010, methodology): “Hopkinson and Chasmer (2009) used both echo counting and intensity to map canopy cover in a large dataset spread throughout Canada.”