Non-parametric prediction of diameter distributions using airborne laser scanner data

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Evaluation of most similar neighbour and random forest methods for imputing forest inventory variables using data from target and auxiliary stands (2012, methodology): “This allows one to capture those properties of the individual strata that are unique to each individual stratum, as previously suggested by Maltamo et al. (2009).”
Prediction of Stem Attributes by Combining Airborne Laser Scanning and Measurements from Harvesters (2012, methodology): “Stem diameter distributions have been estimated using Airborne Laser Scanning (ALS) with field data from inventories of sample plots as reference data (Gobakken and Næsset 2004, Maltamo et al. 2009).”
Comparison of airborne laser scanning methods for estimating forest structure indicators based on Lorenz curves (2014, methodology): “…that would leave insufficient degrees of freedom for canonical correlation analysis, it was used for imputation stage while the components themselves where computed with y = (GC, LA, QMD), as these can suffice to obtain accurate predictions of diameter distributions (Maltamo et al., 2009).”