Using Terrestrial Laser Scanning to Measure Forest Inventory Parameters in a Mediterranean Coniferous Stand of Western Greece

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Accurate estimates of forest inventory parameters are essential to assess the potential hazards of wildfire and obtain above-ground biomass and carbon sequestration data that help develop strategies for the sustainable management of forests. This study aims to assess the accuracy of estimation of forest inventory parameters, such as diameter at breast height (DBH) and tree height, obtained using a Terrestrial Laser Scanner (TLS) in a Mediterranean coniferous stand in western Greece. DBH values measured in the field were compared with those derived from a TLS using the Computree algorithm for automatic DBH detection, and resulted in a coefficient of determination ( $$R^{2})$$ that ranged from 0.75 to 0.96 at the plot level. The average $$R^{2}$$ and RMSE values of 0.80 and 1.07 m, respectively, were obtained when comparing the tree heights recorded by TLS and field data. Finally, the feasibility of TLS to estimate total dry biomass was investigated by comparing the TLS-derived total dry biomass values with those derived from field estimates using an allometric equation. The average estimate of biomass per hectare according to the TLS inventory data was 373.17 Mg/ha while that from field observations was 366.82 Mg/ha. The results confirm that TLS can provide non-destructive, high-resolution and precise determination of forest inventory parameters. The outcomes of this research will help researchers to better comprehend deviations in the accuracy of forest inventory variable retrieval resulting from the variation in the processing parameters supplied and additionally boost decision-making in forest management.