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林业科学 ›› 2013, Vol. 49 ›› Issue (7): 99-105.doi: 10.11707/j.1001-7488.20130714

• 论文与研究报告 • 上一篇    下一篇

基于林分特征的林木个体信息估算可视化模拟技术

李永亮, 鞠洪波, 张怀清, 蒋娴, 刘海   

  1. 中国林业科学研究院资源信息研究所 北京 100091
  • 收稿日期:2012-08-21 修回日期:2012-10-31 出版日期:2013-07-25 发布日期:2013-07-23
  • 通讯作者: 张怀清
  • 基金资助:

    国家高技术研究发展计划(863计划)(2012AA102002);国家自然科学基金项目(31170590);林业公益性行业科研专项(201104028)。

Visual Simulation of Individual Tree Information Estimation Based on Stand Characteristics

Li Yongliang, Ju Hongbo, Zhang Huaiqing, Jiang Xian, Liu Hai   

  1. Research Institute of Forest Resources Information Techniques, CAF Beijing 100091
  • Received:2012-08-21 Revised:2012-10-31 Online:2013-07-25 Published:2013-07-23

摘要:

以湖南攸县黄丰桥国有林场为试验区,以6块典型的杉木人工同龄纯林为研究对象,研究林木径阶与其Voronoi多边形面积间的对应关系。以模拟样地为例,在林木株数、林分算术平均胸径与样地大小设定的前提下, 研究林木空间分布格局特征,建立计算机模拟点阵生成算法; 利用Weibull分布模型对样地内林木径阶分布进行估算,根据林木Voronoi多边形面积与其径阶间的对应规律,对林木胸径进行分配,参考林木测树因子估计模型对林木树高与冠幅因子进行估算; 采用Arcgis Engine 10开发技术,开发样地Voronoi多边形分析模块,结合GDI+与MOGRE技术,建立基于林分特征的林木个体信息估算可视化模型。结果表明: 林木Voronoi多边形面积的算术平均值与所对应径阶间总体呈正相关关系; 林木空间格局生成算法高效且适用; 林木胸径因子分配考虑了空间环境的影响,贴近林木生长规律; 可视化模拟技术可直观表现以上过程与结果,增强可操作性。此方法可用于解决由林分整体特征估算林木个体信息的难题,可为林业科学研究提供基础数据,可为森林可视化模拟提供技术参考。

关键词: 林分特征, 个体信息, Voronoi图, 估算, 可视化模拟

Abstract:

Individual tree information is significant to the study of stand growth, stand structure, stand management and stand visualization. The Huangfengqiao State-Owned Forest Farm in Hunan Province was selected as a test area. Six typical and pure Chinese fir plantations of the same age were chose as the research objects. The corresponding relationship between the diameter class and the Voronoi polygon area was studied. The following works were carried out by taking simulated plots for example and setting the tree number, the stand arithmetic mean DBH and the plot size. By researching the tree distribution pattern, the generation algorithms of lattices were established. The diameter class distribution was estimated by using the Weibull distribution model. According to the law between the Voronoi polygon area and the diameter class, the diameter class was allocated. The tree height and crown were estimated based on the models of the tree-measuring factors. The visual model of individual tree information estimation based on stand characteristics was established by using GDI+, MOGRE and Arcgis Engine10 development technology that could analyze the Voronoi polygon in the plot. The results showed that there was a positive correlation between the arithmetic mean of Voronoi polygon area and the diameter class, that the generation algorithms of tree distribution patterns were efficient and applicable, that because the allocation of diameter class referred to the impact of space environment, it was closed to the law of tree growth, and that the visual simulation technique could directly express all the processes and the results and enhance the maneuverability. This method that can solve the difficult problem of individual tree information estimation based on stand characteristics can provide the underlying data for forest research and the technical reference for forest visual simulation.

Key words: stand characteristics, individual information, Voronoi diagram, estimation, visual simulation

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