• DocumentCode
    1881436
  • Title

    Research on Tree Growth Models and Visual Simulation Technology

  • Author

    Lu Kang-ning ; Zhang Huai-qing ; Liu Min ; Chen Kang

  • Author_Institution
    Res. Inst. of Forestry Resource Inf. Tech., Chinese Acad. of Forestry, Beijing, China
  • fYear
    2010
  • fDate
    10-12 Dec. 2010
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    In this paper, taking into account the climate factors, site conditions and tree physiological characteristics, which impact on the biomass ratios of the root, stem, and leaves, the tree growth model was established according to the physiological processes. Take the Cunninghamia Lanceolata as example, comparing the simulating heights and DBH with observed data, the results showed that the R-squares were bigger than 0.85. Based on the improvements of the IFS method, combining the simulating data, we simulate the growth of Cunninghamia Lanceolata using DirectX9.0 software platform and C# programming language.
  • Keywords
    C language; data visualisation; digital simulation; timber; C# programming language; Cunninghamia Lanceolata; DBH; DirectX9.0 software platform; IFS method; R-squares; climate factors; tree growth models; tree physiological characteristics; visual simulation technology; Analytical models; Biological system modeling; Computational modeling; Equations; Mathematical model; Meteorology; Resource management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering (CiSE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5391-7
  • Electronic_ISBN
    978-1-4244-5392-4
  • Type

    conf

  • DOI
    10.1109/CISE.2010.5677224
  • Filename
    5677224