earticle

영어

Urban trees are increasingly recognized as a source of carbon uptake in net-zero initiatives globally. To accurately estimate the carbon reduction of urban trees, it is essential to obtain both carbon uptake coefficients and comprehensive inventory data. The tree inventory includes tree species, stem diameter, tree height, crown width, stem volume, and crown volume. Traditionally, urban tree inventories have relied on field surveys; however, this approach necessitates considerable labor and financial investment. In this study, we conducted a comparative analysis of urban tree dimensions utilizing various measurement methods, specifically focusing on LiDAR, which has recently emerged as an innovative technique for urban tree inventory. A total of ten sample trees were selected, and their dimensions were measured using both field equipment and LiDAR. The measured variables were statistically evaluated for differences between methods using paired t-test. The results indicated that there were no statistically significant differences in stem diameter, tree height, and stem volume between the two measurement methods (p> 0.05). However, crown width and crown volume exhibited significant differences, with variations of up to 1.5 times and 6.0 times, respectively (p< 0.05). Overall, the tree dimensions obtained through LiDAR in this study were generally consistent with those measured in the field, except for crown width and crown volume. LiDAR will be useful in the future as a way to inventory urban trees. Nonetheless, it is important to note that LiDAR is constrained by the substantial volume of data generated and the time required for tree classification. Future advancements in data processing technology will be essential to enhance the utility of LiDAR in urban greenspaces.