An integrated approach combining bi-temporal airborne laser scanning and X-ray microdensitometry in assessing wood properties

Information on wood properties across trees and stands is needed to support silviculture and wood procurement. Wood properties of standing trees are usually measured by destructive sampling limiting the number of observations that can be collected across a range of forest structural and environmental conditions. In contrast, airborne laser scanning (ALS), with its capability to characterize tree crowns and their increment over time, could provide a non-destructive approach for assessing wood properties. This study aimed at relating ALS-derived mean annual increments in tree height and crown dimensions between 2009 (T1) and 2023 (T2) to X-ray microdensitometry-measured mean ring width (RW mean-tree ) and basal-area weighted mean wood density (WD mean-tree ) formed during the same period. The experimental design comprised 257 Scots pines ( Pinus sylvestris L.) and 142 Norway spruces ( Picea abies (L.) Karst.) across 59 sample plots representing varying boreal forest conditions. As per our investigations, the mean annual increment in tree height (ΔH mean_tree ) represented the strongest correlations with RW mean_tree for both tree species ( r = 0.43–0.44) and a weak but statistically significant correlation with WD mean_tree for Norway spruces only ( r = −0.17). When aggregating individual tree observations for plot-level, ΔH mean_plot exhibited moderate correlations ( r = 0.47–0.48) with RW mean_plot for both species. WD mean_plot of Scots pines showed a correlation of 0.36 with the averaged mean annual increments of crown surface area. However, none of the metrics were significant for WD mean_plot of Norway spruces. By utilizing the linear-mixed effect model 40–41 % of the variations in RW mean_tree of Scots pines and Norway spruces could be explained when accounting for the variability between sample plots. Based on our study, it appears that some of the variation in wood properties, particularly in ring width, can be captured using bi-temporal ALS measurements. However, assessing wood properties over large areas remains challenging and requires further research. • Airborne laser scanning (ALS) was utilized to capture mean annual crown increments. • Tree height increment moderately correlated with ring width at tree and plot levels. • 40–41 % of ring width variation was explained when accounting for plot variability. • Scots pine wood density had no significant correlation with tree height increment. • Scots pine mean ring width variation was explained by 21 % at the plot level.