作　　者： (李凤霞）; (石辉）; (撒利伟）; (冯晓刚）; (李萌）;

机构地区： 西安建筑科技大学建筑学院,陕西西安710055 西安建筑科技大学环境与市政工程学院,陕西西安710055

出　　处： 《西安建筑科技大学学报（自然科学版）》 2017年第4期530-535,共6页

摘　　要： 三维绿量是计量森林生态服务功能的最实质性因素,然而现有方法计算单木三维绿量的精度和效率有待进一步提高.本文基于三维激光点云数据,提出微分法计算单棵树三维绿量,并把此方法与传统方法台体法、绿视率法的计算结果进行比较分析,实验结果表明:台体法计算的树冠体积最大,绿视率法计算的三维绿量较大,而本文提出的微分法具有较好的可靠性,可快速、高效地估算单木三维绿量,更符合树木的实际情况.把三维激光点云数据应用于单木三维绿量计算,在精准农林业领域具有推广的应用价值. The 3D green volume is the most substantial factor for measuring forest ecological service function. However, by applying the existing methods to calculate the green volume of single tree, the accuracy and efficiency is further improved. In this paper, putting forward a new method--differential method, based on 3D laser point cloud data, 3D green volume is calculated. The method is compared with traditional ones, such as body, and green looking rate. The results show that body method is the biggest. The results of green looking rate method is bigger, and the differential method has good reliability and can be quickly and efficiently estimate the single treers 3D green volume. What＇s more, the method is in line with the actual situation of trees. Finally, applying the 3D laser point cloud data in the accurate calculation of the single wood 3D green volume has application prospect in the field of precision agriculture and forestry.

关 键 词： 三维绿量 三维激光扫描 微分法 绿视率 台体