Comparing individual tree detection and the area-based statistical approach for the retrieval of forest stand characteristics using airborne laser scanning in Scots pine stands

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Parameter recovery vs. parameter prediction for the Weibull distribution validated for Scots pine stands in Finland (2013, methodology): “As a whole, the PRM approach can be best improved by improving the accuracy of the forest inventory methods (e.g. Peuhkurinen et al. 2011) and models for the most appropriate stand characteristics.”
Estimation of tree crown volume from airborne lidar data using computational geometry (2013, methodology): “…were based on a canopy height model interpolated using the lidar returns above the estimated CBH. Individual tree detection from airborne lidar data has already been shown to produce good estimates of standard forest attributes such as timber volume (Peuhkurinen, Mehtätalo, and Maltamo 2011).”
Predicting the spatial pattern of trees by airborne laser scanning (2013, methodology): “In the case of ALS-based ITD, this was demonstrated by Maltamo et al. (2007), and later this kind of index was used in tree attribute modelling studies by Maltamo et al. (2009) and Peuhkurinen, Mehtätalo, and Maltamo (2011).”