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林业资源管理 ›› 2017›› Issue (2): 40-45.doi: 10.13466/j.cnki.lyzygl.2017.02.008

• 科学研究 • 上一篇    下一篇

角规测树与方形样地调查结果的差异分析

周梅1(), 王新华1, 李春干2(), 杨承伶3   

  1. 1. 广西大学 计算机与电子信息学院,南宁 530004
    2. 广西大学 林学院,南宁 530004;广西林业勘测设计院,南宁 530011
  • 收稿日期:2017-01-31 修回日期:2017-04-15 出版日期:2017-04-28 发布日期:2020-10-10
  • 通讯作者: 李春干
  • 作者简介:周梅(1972-),广西宾阳人,实验师,主要从事林业遥感与森林资源监测的研究工作。Email:zhoumei_gxdx@)163.com
  • 基金资助:
    广西壮族自治区林业勘测设计院科研业务费专项(GXLKYKJ201601)

Analysis of Statistics Difference of Stand Parameters between Angle Measuring and Square Sample Plot

ZHOU Mei1(), WANG Xinhua1, LI Chungan2(), YANG Chengling3   

  1. 1. School of Computer,Electronic and Information in Guangxi University,Nanning 530004,China
    2. Forestry College of Guangxi University,Nanning,Nanning 530004,China
  • Received:2017-01-31 Revised:2017-04-15 Online:2017-04-28 Published:2020-10-10
  • Contact: LI Chungan

摘要:

利用110块临时方形样地(900 m 2)每木检尺调查和角规绕测调查资料及1 830块固定方形样地(667 m 2)每木检尺调查和角规控制检尺调查资料,以方形样地调查结果为参考,分析角规测树的断面积(G)、林分平均高($\bar{H}$)和每公顷蓄积量(M)的偏差并作配对t检验分析。结果表明:角规绕测G,$\bar{H}$,M的平均偏差分别为-15.88%,5.27%和-12.16%;角规绕测G的偏差服从正态分布,但$\bar{H}$和M的偏差不服从正态分布;角规绕测的G,$\bar{H}$,M与方形样地每木检尺调查结果均存在显著性差异(可靠性为95%);角规控制检尺G的平均偏差为-4.59%;角规控制检尺G的偏差不服从正态分布,并与方形样地调查结果也存在着显著性差异(可靠性为95%)。角规测树偏差主要是操作不够规范、欠认真细致造成的。在森林资源调查中,需要研究和发展先进、可靠、可行的新技术新方法,如机载激光雷达。

关键词: 角规绕测, 角规控制检尺, 每木检尺, 断面积, 林分平均高, 每公顷蓄积量

Abstract:

For analyzing the difference of forest stand parameters between angle measuring and tallying of square plot,Two datasets were used in this paper,one was composed of 100 temporary square sample plots with the area of 900 m 2 measured by tallying and point sampling with angle gauge,another was composed of 1 830 fixed square sample plots with the area of 667 m 2 measured by tallying and angle gauge control registration,and then the investigation data of tallying were used as the reference to calculate the error of basal area (G),mean of stand height ($\bar{H}$) and stand volume per hectare (M) of angle measuring accompanied by the pairing t-test. the result indicated that the relative error of G,and M derived from point sampling with angle gauge were -15.88%,5.27% and -12.16% respectively compared with the data derived from tallying,there were more than 50% of total plots,of which relative error of G and M were larger than ±20%,and more than 70% of total plots had a negative error of G and M,the error of G was subject to normal distribution,but that of and M wasn't;there was significant difference (P<0.05) between the mean of G,$\bar{H}$ and M derived from angle measuring and tallying of square plot;the relative error of G measured by angle gauge control registration was -4.90% compared to the that measured by tallying,there were 55.4% of total plots that had the relative error,large than ±20%,and 56.9% of total plots had the negative error;the error of G wasn't subject to normal distribution,the mean of G derived from two method had significant difference (P<0.05) too. All errors of angle measuring were caused by normative and unserious operation,so the quality control of investigation needs to be enhanced to reduce the data error,on the other hand,we need to develop the new technology and new methodology in large-scale forest resources inventory,such as LiDar.

Key words: point sampling, angle gauge, control registration, tally, basal area, mean stand height, stand volume per hectare

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