[1]瞿帅,张晓丽*,朱程浩,等. 机载激光雷达森林资源调查系统的设计与试验[J].西北林学院学报,2018,33(4):175-182.[doi:10.3969/j.issn.1001-7461.2018.04.29]
　QU Shuai,ZHANG Xiao-li*,ZHU Cheng-hao,et al. Design and Test of Airborne LiDAR System for Forest Resources Survey[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2018,33(4):175-182.[doi:10.3969/j.issn.1001-7461.2018.04.29]
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 机载激光雷达森林资源调查系统的设计与试验()
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《西北林学院学报》[ISSN:1001-7461/CN:61-1202/S]

卷:
第33卷
期数:
2018年第4期
页码:
175-182
栏目:
出版日期:
2018-07-31

文章信息/Info

Title:
 Design and Test of Airborne LiDAR System for Forest Resources Survey
文章编号:
1001-7461(2018)04-0175-08
作者:
 瞿帅; 张晓丽*; 朱程浩; 霍朗宁; 刘会玲
 （北京林业大学 精准林业北京市重点实验室，北京 100083）
Author(s):
 QU Shuai; ZHANG Xiao-li*; ZHU Cheng-hao; HUO Lang-ning; LIU Hui-ling
 (Key Laboratory of Precision Forestry,Beijing Forestry University,Beijing 100083,China）
关键词:
 ; 机载激光雷达; 森林资源调查; 点云
Keywords:
 ; airborne LiDAR;  forest resources investigation;  point cloud
分类号:
S757.3
DOI:
10.3969/j.issn.1001-7461.2018.04.29
文献标志码:
A
摘要:
 机载激光雷达对森林空间结构和地形具备较强的探测能力，已成为森林资源调查的重要技术手段，但目前针对该技术应用于森林资源调查方面的系统建设研究相对较少。为了实现林业的可持续发展，满足当今森林资源精准监测及管理的需求，从应用角度出发，以机载激光雷达数据为基础，结合机载激光雷达技术、地理信息系统技术与林业资源调查管理技术，搭建了适用于林业的专业森林资源调查系统。该系统以C++为编程语言，结合QT图形界面库、VTK三维引擎库及GDAL影像处理库开发而成，利用机载激光雷达点云数据实现高效的森林区域数字高程模型生成、单木及林分相关参数提取等功能，实现森林资源数据库的更新，缩短了传统森林资源调查的时间周期，最终实现森林资源调查的自动化及系统化应用。以甘肃省张掖市大野口关滩森林站超级样地为试验区，基于样地调查数据对系统提取结果进行了精度验证，结果表明，系统提取的区域高程最大偏差为1.102 m，平均偏差为0.737 m，单木树高、冠幅的平均相对误差分别为13.66%、14.18%，株树密度、林分平均高的平均相对误差分别为5.83%、9.86%。
Abstract:
 Airborne LiDAR has strong detection capability of forest spatial structure and topography,it has become an important means in forest resource survey,but its system construction of the technology used in the study of forest resources survey is relatively little.In order to achieve the sustainable development of forestry,and meet the precise monitoring and management requirements,a professional forest resource survey system for forestry was constructed in this paper.The system combined with airborne LiDAR technology,geographic information system technology and forest resources survey management technology,based on LiDAR data application.The system was based on C++ programming language,which was developed with QT graphical interface library,VTK 3D engine library and GDAL image processing library.By using point cloud data of airborne LiDAR,high efficiency digital elevation model generation of forest area and extraction of relative parameters of single tree and forest stand were realized.The updating of forest resources database was achieved,and the time period of traditional forest resources investigation was shortened.Finally,the automation and systematic application of forest resources investigation was achieved.Super samples in Dayekou Guantan Forest Station,Gansu Province ,Zhangye city were taken as the test area.Based on the sample survey data,the accuracy of the system extraction was verified as follows.The maximum deviation of elevation extraction system was 1.102 m.The average deviation was 0.737 m.Tree height and crown width of the average relative errors were 13.66% and 14.18%,respectively.The average tree density and stand average relative errors were 5.83%,9.86%,respectively.

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备注/Memo

备注/Memo:
 收稿日期：2017-09-26修回日期：2017-11-07
基金项目：国家重大科学仪器设备开发专项“基于机载双频激光雷达的林业资源调查软件开发”（2013YQ12034304）。
作者简介：瞿帅，男，在读硕士，研究方向：3S系统集成及应用开发。E-mail:1831228831@qq.com
*通信作者：张晓丽，女，博士，教授，研究方向：森林动态监测、定量遥感。E-mail:zhang-xl@263.net
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