基于手持激光雷达的冲天柏人工林单木因子提取及树高-胸径模型构建OA

To explore the accuracy of extracting individual tree factors using point cloud data of different densities from handheld mobile laser scanning(HMLS),and construct a tree height-diameter at breast height(DBH)model,this study extracted DBH and tree height factors from resampling point cloud data of different densities based on HMLS data of Cupressus duclouxiana plantations.The extraction accuracy of individual tree factors was evaluated by comparing with manual survey data,and the tree height-DBH model of Cupressus duclouxiana plantation was constructed with the indi-vidual tree factors extracted under the optimal point cloud density.The results showed that the extraction accuracy of DBH was generally better than that of tree height,with the highest coefficient of determination(R²)reaching 0.915 9;the extraction accuracy of DBH was sensitive to point cloud density and showed a significant downward trend with the de-crease of point cloud density,while the extraction accuracy of tree height was insensitive to changes in point cloud den-sity(R² ranged from 0.726 0 to 0.756 3).Among the tree height-DBH models constructed based on the factors extracted from the optimal point cloud density,the Meyer model performed the best.The study indicated that the extracted DBH and tree height based on HMLS point cloud data are highly correlated with the measured data,and the results are reli-able;the tree height-DBH model constructed based on this data can provide technical support for the precise investiga-tion,growth monitoring,and management of Cupressus duclouxiana plantation resources.