Tree models and information on the various characteristics of trees and forests are required for forest management,city models, carbon accounting and the management of assets. In order to get precise characteristics and information,tree modelling must be done at individual tree level as it represents the interaction process between trees. Forsustainable forest management, more information is needed, however, the traditional methods of investigating forestparameters such as, tree height, diameter at breast height, crown diameter, stem curve and stem mapping or tree locationare complex and labour-intensive. Light detection and ranging (LiDAR) has been proposed as a suitable technique formapping of forest biomass. LiDAR can be operated in airborne configuration (Airborne laser scanning) or in a terrestrialsetup. Terrestrial Laser Scanner measures forests from below canopy and offers a much more detailed description of theindividual trees. The aim of this study is to derive the essential tree parameters for estimation of biomass from terrestrialLiDAR data. Tree height, diameter at breast height, crown diameter, stem curve and tree locations were extracted fromTerrestrial Laser Scanner point clouds.

DOI: https://doi.org/10.3846/enviro.2017.230