[1]高婷,李卫忠*,赵鹏祥*,等. 基于ArboLiDAR的大野口林区森林参数估测[J].西北林学院学报,2017,32(4):172-177.[doi:10.3969/j.issn.1001-7461.2017.04.30]
　GAO Ting,LI Wei-zhong*,ZHAO Peng-xiang*,et al. Tile:ArboLiDAR Based Prediction of the Forest Parametersng in Dayekou[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2017,32(4):172-177.[doi:10.3969/j.issn.1001-7461.2017.04.30]
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 基于ArboLiDAR的大野口林区森林参数估测()
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《西北林学院学报》[ISSN:1001-7461/CN:61-1202/S]

卷:
第32卷
期数:
2017年第4期
页码:
172-177
栏目:
出版日期:
2017-07-31

文章信息/Info

Title:
 Tile:ArboLiDAR Based Prediction of the Forest Parametersng in Dayekou
文章编号:
1001-7461(2017)04-0172-06
作者:
 高婷; 李卫忠*; 赵鹏祥*; 张晓丽; 高凌寒
 (西北农林科技大学 林学院，陕西 杨陵 712100）
Author(s):
 GAO Ting; LI Wei-zhong*; ZHAO Peng-xiang*; ZHANG Xiao-li; GAO Ling-han
 (College of Forestry,Northwest A&F University,Yangling,Shaanxi 712100,China)
关键词:
 ; 激光雷达; 林分分割; ArboLiDAR; 森林参数; 稀疏贝叶斯回归算法
Keywords:
 ; LiDAR;  stand segmentation;  ArboLiDAR;  forest parameter;  sparse Bayesian
分类号:
S771.1
DOI:
10.3969/j.issn.1001-7461.2017.04.30
文献标志码:
A
摘要:
 以甘肃省张掖市大野口林区为研究区，首次引入芬兰软件ArboLiDAR，基于LiDAR数据，提取林分水平上的主要森林参数并与实测数据做了对比。结果表明，由ArboLiDAR软件提取的参数中，林分平均高的估测精度最高，R2为0.807，平均估测精度达到90%；平均胸径仅次于平均高；林分胸高断面积的估测精度受林龄结构及林分密度的影响较大，平均估测精度都为80%；对林分密度的估测精度最低，R2为0.585，平均估测精度为74%。同时，本研究也根据提取出来的森林参数制作了研究区各森林参数区域分布图，为更加直观地了解研究区情况以及后续研究作基础。
Abstract:
 Dayekou forest area in Zhangye of Gansu Province was selected to study forest indices.A software ArboLiDAR was introduced from Finland to conduct the study.Forest data were extracted from LIDAR at stand level and were compared with those measured in the field.The results showed that the estimation accuracy of average HGW of stand was the highest,with R2 of 0.807 and the average estimate accuracy of 90%.The estimation accuracy of average DBH was next to average HGW.The estimation accuracy of stand basal area was greatly influenced by the forest stand density and age structure,and the average estimation accuracy both were 80%。Estimation accuracy of the stand density was the lowest,with R2 of 0.585,and an average estimation accuracy of 74%.According to the extracted forest parameters,the regional distributions of forest parameters in the study area were drawn,which were more intuitive to show the situation of the study area and could be used as the basis of the follow-up study.

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备注/Memo

备注/Memo:
 收稿日期：2016-12-20修回日期：2017-02-18
基金项目：国家林业局948项目(2014-4-27)。
作者简介：高婷，女，在读硕士，研究方向：“3S”技术在森林资源调查中的应用。E-mail:15935412728@163.com
*通信作者：李卫忠，男，教授，研究方向：森林可持续经营理论与评价。E-mail:ezhli6465@163.com
赵鹏祥，男，副教授，研究方向：“3S”技术在森林资源调查中的应用。E-mail：zhaopengxiang@nwsuaf.edu.cn
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