论文部分内容阅读
随着计算机可视化技术与激光技术的不断发展,我国“数字化林业”建设进程不断向前推进。三维(3D)激光扫描作为一种可以快速获取目标三维点云数据的新兴测绘技术,已在林业勘查规划、林分结构研究以及单木模型三维重建等方面得到了初步应用。为了探究该技术在森林测树应用中的测量精度,通过将野外三维激光扫描林分结构因子数据与传统经典测树学方法所得实验数据进行对比发现:基于三维激光扫描数据构建的测树因子模型精度较高,其中,扫描胸径平均误差-0.16%,扫描树高平均误差-0.35%,扫描胸高断面积误差为-0.11%,误差均满足林业测树精度要求。说明三维激光扫描技术在古树保护、森林资源调查规划、森林采伐等林业应用领域具有较强的可适用性与应用前景。
With the continuous development of computer visualization technology and laser technology, the process of building “digital forestry” in our country continues to move forward. As a new mapping technique, 3D laser scanning can quickly obtain target 3D point cloud data, and has been initially applied in forestry exploration planning, stand structure research and three-dimensional reconstruction of single-wood model. In order to explore the accuracy of this technique in forest tree measurement, comparing the data obtained from the field 3D tree scanning stand structure factor data with the traditional classical tree-finding method, we found that the tree-based tree model based on the 3D laser scanning data The average error of scanning diameter was -0.16%, the average height of scanning tree was -0.35%, and the error of scanning area was -0.11%. The errors met the precision requirements of forestry tree measurement. It shows that 3D laser scanning technology has strong applicability and application prospect in the fields of ancient tree protection, forest resources investigation and planning, forest harvesting and other forest applications.