期刊论文

Liu, F.(liufeng0808@126.com)

中文

农业机械学报

1000-1298

2013

44

9

219-224+242

10.6041/j.issn.1000-1298.2013.09.039

国家自然科学基金资助项目（31200346） 湖南省高等学校科学研究项目（12C0465） 2012湖南省大学生研究性学习和创新性实验计划资助项目 2012中南林业科技大学***科研启动基金资助项目

本校为第一且通讯机构

采用黑龙江长白山地区长白落叶松人工林LiDAR数据和野外调查补充样地数据,利用树冠高层模型和三维点云分割相结合的方法实现单木识别,选择逐步回归分析法进行单木参数和生物量估算。结果表明:机载LiDAR估测的长白落叶松单木参数与实测数据具有较好的相关性,单木树高、冠幅、胸径和地上生物量的R2分别为0.873 2、0.633 5、0.790 3和0.799 2;平均拟合精度分别为88.34%、83.46%、85.11%和86.19%;幼龄林、中龄林、近熟林和成熟林的单木平均生物量分别为25.12、94.08、117.74、279.33 kg。

The LiDAR point cloud and a survey of seven plots Larix olgensis plantation in Changbai Mountain area of Heilongjiang were utilized as the experimental data. A method combined crow height model and 3-D point cloud segmentation was used to identify individual tree. The forest parameters and aboveground biomass based were estimated by using stepwise regression analysis. Experimental results showed that the forest parameters estimated by LiDAR had good correlation with field data. The coefficient of determination between prediction values and observed values of the tree height, crown diameter, DB...