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模拟野外实地林分调查场景,设置3种不同的样地大小和扫描精度,应用地面激光扫描(TLS)获取扫描的点云数据,通过最小二乘法对切片上的点云进行圆的拟合,提取特定高度处的上部直径。结果表明,在中精度扫描、10m半径样地时,使用点云提取的上部直径估计值精度最高。该研究旨在保证数据精度的前提下减少扫描的时间和成本,制定使用TLS技术进行林分调查时的参考标准,充分发挥该技术在森林资源调查中的优势。
Three different field sizes and scanning accuracy were set up. Field scanning (TLS) was used to obtain the scanned point cloud data. The point cloud on the slice was fitted by the least square method, Extract the upper diameter at a specific height. The results show that the accuracy of the upper diameter estimation using point cloud extraction is the highest when using medium precision scanning and 10m radius sampling. The aim of the study is to reduce the time and cost of scanning with the premise of data accuracy and to develop a reference standard for forest stand survey using TLS technology to give full play to its advantages in forest resources surveys.