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
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;
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
DOI :
10.1109/CISE.2010.5677224
