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基于R软件的树木年轮宽度测量方法

史景宁,于健,周华,孟盛旺,刘琪璟*     

  1. (北京林业大学林学院, 北京 100083)
  • 出版日期:2017-07-10 发布日期:2017-07-10

Application of R software on tree ring width measurement.

SHI Jing-ning, YU Jian, ZHOU Hua, MENG Sheng-wang, LIU Qi-jing*   

  1. (Department of Forest Sciences, Beijing Forestry University, Beijing 100083, China).
  • Online:2017-07-10 Published:2017-07-10

摘要: 年轮记载了树木生长的历史信息,能否准确提取年轮特征信息影响到相关研究的准确性。本文介绍了一种使用统计分析软件R测量年轮宽度的方法。该方法基于数字化图像与边缘检测算法,通过R自动识别或手动标记年轮线,使用直角坐标系两点间距离公式计算年轮宽度,并依据三角函数校正倾斜年轮造成的宽度误差;此外,该方法还提供了多图像对比标记、样品断裂处理、快速复测功能。结果表明:R软件测量精度与准确性高,对同一样品比较表明R测量结果与WinDENDRO无显著差异。本方法简单、可靠,图像数据可以长期保存;R是开源软件,相比LinTab与WinDENDRO等商业工具更易普及,成本低;同时R具有较强的数据统计分析与作图功能,可以直接对测量结果进行数据处理。

关键词: 三峡库区, 时间序列, 人类活动, 遥感, 土地利用/覆盖变化

Abstract: Tree rings record the growth histories of trees. The means by which researchers extract precise characteristics of tree rings are fundamental to the related fields. The objective of this study was to measure treering widths with statistical analysis software R. This method provides custom R functions to automatically or manually mark treering boundaries on digital images based on edge detection algorithm, and calculates treering widths using coordinates of successive boundary points. Width of inclined treering is corrected with R based on trigonometric functions. Custom R functions offer the ability to compare with multiple sample images to mark rings, handle broken samples and quickly reconstruct previous results. The results showed that this method allowed accurate measurement of treering widths. Tree ring widths calculated by this method was in good agreement with results measured with WinDENDRO. This method is simple and reliable. Digital images stored in the hard disk are convenient to maintain for long periods; R is open source software, and much cheaper than commercial tools like LinTab and WinDENDRO. In addition, R provides a wide variety of statistical and graphical functions, and can be easily extended with R packages. Thus, data analyses of treering widths could run in the same software without outputting.

Key words: land use/cover change, time series, the Three Gorges Reservoir Area, remote sensing, human activities