Estimating percentile-based diameter distributions in uneven-sized Norway spruce stands using airborne laser scanner data

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Non-parametric prediction of diameter distributions using airborne laser scanner data (2009, methodology): “The dominant tree species in the area were Norway spruce [Picea abies (L.) Karst.] and Scots pine (Pinus sylvestris L.), but a large portion of especially younger stands was dominated by deciduous species, mainly birch (Betula pubescens Ehrh.).”
Predicting the growth of stands of trees of mixed species and size: A matrix model for Norway (2008, methodology): “As part of the long-term validation, the simulated steady state for the pure spruce initial stand was compared with data from an old spruce-dominated forest (Solberg et al., 2006; Bollandsås & Næsset, 2007).”
Estimation of tree lists from airborne laser scanning by combining single-tree and area-based methods (2010, methodology): “The Weibull distribution has been commonly used to describe tree size-related distributions such as DBH and basal area (Gobakken and Næsset 2004, Maltamo et al. 2007).”
Comparison of airborne laser scanning methods for estimating forest structure indicators based on Lorenz curves (2014, methodology): “Bollandsås and Næsset (2007) used an area-based approach (ABA) with partial least squares regression to estimate discrete quantiles along the diameter distribution, using the GC as a basis for stratifying the dataset into homologous diameter distribution types.”