[1]焦义涛,邢艳秋*,霍达,等. 基于机载LiDAR点云估测林分的平均树高[J].西北林学院学报,2015,30(03):170-174.[doi:doi:10.3969/j.issn.1001-7461.2015.03.29]
 JIAO Yi-tao,XING Yan-qiu*,HUO Da,et al. Study on Mean Canopy Height Estimation from Airborne LiDAR Point Cloud Data[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2015,30(03):170-174.[doi:doi:10.3969/j.issn.1001-7461.2015.03.29]
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 基于机载LiDAR点云估测林分的平均树高()
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《西北林学院学报》[ISSN:1001-7461/CN:61-1202/S]

卷:
第30卷
期数:
2015年03期
页码:
170-174
栏目:
出版日期:
2015-05-31

文章信息/Info

Title:
 Study on Mean Canopy Height Estimation from Airborne LiDAR Point Cloud Data
文章编号:
1001-7461(2015)03-0170-05
作者:
 焦义涛邢艳秋*霍达尤号田赵晨阳
 (东北林业大学 森林作业与环境研究中心,黑龙江 哈尔滨 150040)
Author(s):
 JIAO Yi-tao XING Yan-qiu* HUO Da YOU Hao-tian ZHAO Chen-yang
 (Center for Foerest Operations and Environment, Northeast Forest University, Harbin, Heilongjiang 150040, China)
关键词:
 激光雷达植被点云高度阈值平均值平均树高
Keywords:
 LiDAR vegetation point height threshold mean mean canopy height
分类号:
S758.4
DOI:
doi:10.3969/j.issn.1001-7461.2015.03.29
文献标志码:
A
摘要:
 以内蒙古上库力农场为研究区,基于高程归一化后的植被点云数据计算了植被点云高度阈值平均值,建立林分平均树高线性回归模型,并进行精度评定。结果表明,模型估测平均树高精度最高为99.81%,最低为87.09%,总体平均精度为94.56%。利用植被点云高度阈值平均值估测林分平均树高具有较高的可靠性。
Abstract:
 The mean canopy height is a critical parameter for evaluating forest structure. In this paper, taking the Shangkuli Farm in Inner Mongolia as the study area, the mean canopy height was estimated. The threshold mean of vegetation point height was acquired, which was generated from the vegetation point data set of elevation normalized, and then the linear regression model was established for estimating the mean canopy height in this area. Afterwards, the accuracy of model was evaluated, with 99.81% of the highest accuracy, 87.09% of the lowest accuracy and 94.56% of the average accuracy. The results indicated that the threshold mean of vegetation point height was able to estimate mean canopy height with the higher reliability.

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备注/Memo

备注/Memo:
 收稿日期:2014-08-27 修回日期:2014-10-31
基金项目:中央高校基本科研业务费专项(DL12EB07);国家自然科学基金(41171274)。
作者简介:焦义涛,男,在读硕士,研究方向:机载小光斑激光雷达对森林结构参数定量估测。E-mail:jiaoyitao23@163.com
*通信作者:邢艳秋,女,教授,博士生导师,研究方向:森工管理与林业信息工程。E-mail:yanqiuxing@nefu.edu.cn
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