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Forest and Grassland Resources Research >

2019 , Vol. 0 >Issue 4: 101 - 106

DOI: https://doi.org/10.13466/j.cnki.lyzygl.2019.04.015

Real-time Generation Methods for Stand Three-dimensional Models

  • Yongliang LI ,
  • Nianfu ZHU ,
  • Huaiqing ZHANG ,
  • Jiankang PENG ,
  • Tingdong YANG
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  • 1. Research Institute of Forest Resource Information Techniques,Chinese Academy of Forestry, Beijing 100091, China
    2. Huangfengqiao State?owned Forest Farm in Youxian, Zhuzhou Hunan 412307, China

Received date: 2019-06-24

  Revised date: 2019-07-17

  Online published: 2020-10-20

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Abstract

Aiming at the problem of insufficient ability of existing stand visualization simulation methods for representing tree diversity,a proposed method of constructing tree diversity three-dimensional models and the realized real-time establishment of stand three-dimensional models to visualize and visually reflect the three-dimensional structure of the forest.A three-dimensional simulation method of the trunk was proposed,and a 10-parameter power function for controlling crown curves was established to form a multi-direction crown control model of trees.Based on the Bézier curve,10 types of branch models were constructed.The algorithm of branch generation under crown control and the method of leaf simulation were proposed and the real-time construction of tree diversity three-dimensional model was realized.Based on the survey data of each tree,a stand real-time three-dimensional model was established according to the tree morphological data.The results showed that the canopy diversity model was effectively constructed,and the stand survey data could directly provide data support for the stand three-dimensional modeling.This method can realize the intuitive three-dimensional simulation of the tree diversity morphology and stand characteristic factors.

Key words： survey data; three-dimensional model; real-time generation; diversity; stand

Cite this article

Yongliang LI , Nianfu ZHU , Huaiqing ZHANG , Jiankang PENG , Tingdong YANG . Real-time Generation Methods for Stand Three-dimensional Models[J]. Forest and Grassland Resources Research, 2019 , 0(4) : 101 -106 . DOI: 10.13466/j.cnki.lyzygl.2019.04.015

References

[1] 冯婉玲, 陈水飞, 何立恒 , 等. 基于SketchUp模型的武夷山区优势树种建模[J]. 森林工程, 2019,35(1):22-28.
[2] 李晓尧, 阮芳芳, 刘旭升 , 等. 不同虫害程度下的云南松林分三维可视化模拟方法研究[J]. 林业资源管理, 2018(3):65-70.
[3] 刘利强 . 基于SVS的单木模拟和林分可视化的研究[D]. 南京:南京林业大学, 2009.
[4] Roth P A, Finley J C, Zobrist K W , et al. Computer technology helps family forest owners in Pennsylvania and Washington[J]. Journal of Forestry, 2006,104(3):132-135.
[5] Wilson J S, Mcgaughey R J . Presenting landscape scale forest information:what is sufficient and what is appropriate[J]. Journal of Forestry, 2000,98(12):21-28.
[6] Eeva K, Liisa T . Visualization in forest landscape preference research:a Finnish perspective[J]. Landscape and Urban Planning, 2002,59(1):13-28.
[7] 章雪莲 . 基于GIS的森林可视化与空间结构分析技术研究[D]. 杭州:浙江林学院, 2009.
[8] 苏逸平 . 基于GIS的林木三维可视化分析技术[J]. 地理空间信息, 2016,14(9):60-61.
[9] Samuel D-K, Beno?t C, Philippe D , et al. Capsis:an open software framework and community for forest growth modelling[J]. Annals of Forest Science, 2012,69(2):221-233.
[10] 朱万才 . 樟子松人工林林分三维可视化的研究[D]. 哈尔滨:东北林业大学, 2007.
[11] Marek F, Peter V, Lubomír S . Thinning trainer based on forest-growth model,virtual reality and computer-aided virtual environment[J]. Environmental Modelling & Software, 2018,100:11-23.
[12] 黄友良 . 基于OSG的林分场景可视化研究与实现[D]. 北京:北京林业大学, 2009.
[13] 李思佳, 张怀清, 李永亮 , 等. 基于样本库的杉木林分生长动态可视化模拟[J]. 林业科学研究, 2019,32(1):21-30.
[14] 马载阳, 张怀清, 李永亮 , 等. 基于空间结构的杉木树冠生长可视化模拟[J]. 林业科学研究, 2018,31(4):150-157.
[15] Fabrika M, URSKY J . Algorithms and software solution of thinning models for SIBYLA growth simulator[J]. Journal of Forest Science, 2005,51(10):431-445.
[16] 李永亮, 沈康, 张怀清 , 等. 基于CAVE2的森林虚拟仿真系统应用研究[J]. 林业资源管理, 2019(2):123-131.
[17] 宋铁英 . 一种基于图象的林分三维可视模型[J]. 北京林业大学学报, 1998,20(4):93-97.
[18] 王灵霞, 唐丽玉, 陈崇成 , 等. 杉木人工林林分可视化模拟系统设计与实现[J]. 微型机与应用, 2015,34(4):93-96.
[19] 李永亮, 鞠洪波, 张怀清 , 等. 参数化林木个体及林分场景可视化模拟技术[J]. 林业科学研究, 2013,26(6):704-709.
[20] 马载阳, 张怀清, 李永亮 , 等. 林木多样性模型及生长模拟[J]. 地球信息科学, 2018,20(10):1422-1431.
[21] 卢康宁 . 基于生理生态模型的杉木形态结构变化可视化模拟研究[D]. 北京:中国林业科学研究院, 2012.
[22] Lluch J, Vivó R, Monserrat C . Modelling tree structures using a single polygonal mesh[J]. Graphical Models, 2004,66(2):89-101.
[23] Lu Kangning, Zhang Huaiqing, Ju Hongbo , et al. Visual simulation of trees' morphological structure based on crown shape[J]. Journal of Information & Computational Science, 2013,10(6):1623-1632.
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