The aim of this study is to detect the dominant tree height in forest stands using LiDAR (Light detection and ranging) data. The dominant tree height is obtained from LiDAR data and that is compared with the forest inventory data from the State Forest Service (SFS). Results are analysed by dominant species, growth conditions and topography. Sample plots are selected randomly and the forest inventory data are obtained separately from LiDAR data and may cause some errors in terms of tree height.

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... ata processing methods are outlined for detection of individual trees and terrain depressions. The average tree height from the LiDAR data is compared to that from the SFS database. The results show that the average height of a forest stand obtained from LiDAR is mostly up to 2 meters smaller comparing with the SFS database, depending on the dominant species and stand age. The most accurate results are obtained in forest stands with pine as a dominant tree species and in dry forest growth conditions. Comparison with trees growing in terrain depressions and outside them shows a significant difference. For more precise measurements in dynamics more LiDAR flights and higher point density are recommended.