摘要
为了获取林分的叶面积指数,提出了一种基于激光点云数据的计算方法.将地面激光扫描仪获取的三维点云数据缩放在球的表面上,再投影到平面上,根据统计学原理得到冠层孔隙度,然后分别使用Miller公式法和迭代反演法得到叶面积指数,并与实测叶面积指数进行比较,最后与用冠层分析系统获取的结果进行对比.用半球摄影法得到的叶面积指数为1.4356和1.4338,而用激光点云法得到的值为1.1913和1.0703,成功用激光点云数据计算出树木冠层叶面积指数.用激光点云数据计算叶面积指数的方法具有相对准确性、可行性.由于三维数据投影时孔隙偏大,导致激光点云法的结论数据相对较小.
In order to obtain the stand leaf area index, this pager proposes a calculation method based on laser point cloud data. The 3D point cloud data obtained from terrestrial laser scanner is zoomed in on the ball surface, and then is projected onto a plane. This pager gets canopy porosity according to statistical theory. After that the le＇,ff area index is calculated using the Miller formula method and iterative inversion method respectively, and is compared with the measured leaf area index. At last, tile leaf area index and the results of the canopy analysis system were compared. The LAIs calculated from hemispherical photography are 1.4356 and 1.4338 and those of laser point cloud are 1.1913 and 11.0703. The method calculates the LAI successfully. The accuracy and feasibility of the method are proved. But the results of laser point cloud are relatively smaller due to the bigger gap while zooming the data.
出处
《伊犁师范学院学报（自然科学版）》
2016年第2期75-81,共7页
Journal of Yili Normal University：Natural Science Edition
基金
中国热带农业科学院橡胶研究所基本科研业务费专项资金项目(RRI-KLOF201501)
国家自然科学基金项目(31300472)
江苏省自然科学基金项目(BK2012418)
国家重点基础研究发展计划项目(973项目
2012CB416904)
学术学位研究生创新项目(KYLX_0874)
