Remote Sensing, Journal Year: 2025, Volume and Issue: 17(5), P. 785 - 785
Published: Feb. 24, 2025
Stem volume is a critical factor in managing and evaluating forest resources. At present, stem commonly estimated indirectly by constructing taper model that utilizes sampling, diameter at breast height (DBH), tree height. However, these estimates are constrained errors arising from spatial stand environment variations as well uncertainties measurements. To address issues, this study aimed to accurately estimate using light detection ranging (LiDAR) technology, key tool modern precision forestry. LiDAR data were used build comprehensive three-dimensional models of forests with multi-platform systems. This approach allowed for precise measurements heights diameters various heights, effectively mitigating the limitations earlier measurement methods. Based on data, Kozak curve was developed individual level LiDAR-derived estimates. Integrating enabled hybrid estimating volume, facilitating calculation points not directly identifiable alone. The proposed method implemented evaluated two economically significant species Korea: Pinus koraiensis Larix kaempferi. RMSE comparison between curve-based estimation showed that, koraiensis, 0.11 m3 0.07 method, while kaempferi, 0.13 0.05 m3, respectively. error approximately half approach. Consequently, which integrates model, overcomes conventional approaches contributes improving accuracy resource monitoring.
Language: Английский