基于车载激光点云的行道树固碳量估算研究

Carbon Sequestration Estimation of Roadside Trees Based on Vehicle-borne Laser Point Cloud

不断发展的城市道路交通系统对城市道路生态环境提出了更高的要求,行道树的生态效益开始受到广泛的关注。行道树的固碳量是衡量行道树生态效益的标准之一,针对传统固碳量估算方法成本高、计算效率较低等问题,提出了一种利用车载激光点云数据估算行道树固碳量的方法。通过该方法,对单株行道树的车载激光点云数据进行处理分析,获得了行道树的树高、冠幅、胸径,再结合适当的计算模型,对行道树的固碳量进行估算,可比较不同树种固碳量的相对大小。该方法进一步扩大了车载激光点云数据的应用范围,提高了行道树固碳量的估算效率,为城市生态环境建设、绿化管理提供了新的技术。

Continuous development of urban road traffic system requires higher standards of road ecologi-cal environment. Ecological benefits of roadside trees are getting more attention. Carbon sequestration is a measurement of roadside trees, ecological benefits. The traditional method of estimating carbon seques-tration is costly and inefficient. In order to solve above problems, a method using vehicle-bome laser point cloud data to estimate the carbon sequestration of roadside trees is proposed in this paper. The method can calculate the geometric parameters of a roadside tree, including tree height, crown diameter, diameter at breast height, by processing and analyzing point cloud data of an individual tree. Combining the calcu-lated geometric parameters and an appropriate carbon sequestration calculation model, the estimated single tree＇s carbon sequestration can be calculated. The proposed method can help enlarge application range of vehicle-bome laser point cloud data, improve the efficiency of estimating carbon sequestration, construct urban ecological environment and manage landscape.