Simultaneous Estimations of Forest Parameters using Aerial Photograph Interpreted Data and the k Nearest Neighbour Method

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Estimation of stem volume using laser scanning-based canopy height metrics (2006, background): “Although satellite images and digital aerial photographs have been found suitable for large area inventories (e.g. Holmström et al. , 2001 ; Tomppo and Halme, 2004 ), it is very diffi cult to obtain satisfactory results for small areas only using spectral value-based remote sensing methods (e.g.…”
Evaluation of most similar neighbour and random forest methods for imputing forest inventory variables using data from target and auxiliary stands (2012, methodology): “3.3 Diagnostics We predicted all three response variables simultaneously, as this was regarded as one of the potential advantages of k-NN methods (Holmström et al. 2001).”
Cost-Plus-Loss Analyses of Forest Inventory Strategies Based on kNN- Assigned Reference Sample Plot Data (2003, methodology): “The details are given in Holmström (2002) and Holmström et al. (2001).”
Nonparametric estimation of stem volume using airborne laser scanning, aerial photography, and stand-register data (2006, background): “However, when only one variable is being predicted, the regression transform distance (Holmström et al. 2001) produces identical weighting for the predictor variables and could also be used.”