• DocumentCode
    2023888
  • Title

    Multi-granularity virtual forest information model with linkage capability and its application

  • Author

    Tianyang, Dong ; Qiaohong, Chen ; Jing, Fan ; Wenjie, Li

  • Author_Institution
    Coll. of Comput., Zhejiang Univ. of Technol., Hangzhou, China
  • fYear
    2010
  • fDate
    23-25 Nov. 2010
  • Firstpage
    1051
  • Lastpage
    1055
  • Abstract
    Due to lack of information correlation between different-granularity forest ecological calculation models, construction of different-level virtual forest landscape usually adopts a single ecological calculation model. In order to achieve the information correlation and transition between the different-level virtual forest simulations, this paper puts forwards a multi-granularity virtual forest information model with linkage capability (MGVFM). In addition, this model is applied in the forest ecological landscape simulation. Based on the principle that the environment factors have inherent relations with the different-level forest ecological calculation models, our experiment shows that the model proposed in this paper can construct information correlation in two space-time transition ways: large-scale to small-scale and small-scale to large-scale.
  • Keywords
    forestry; geographic information systems; virtual reality; different-level virtual forest landscape; different-level virtual forest simulations; forest ecological landscape simulation; granularity forest ecological calculation models; multigranularity virtual forest information model; single ecological calculation model; space-time transition; Biological system modeling; Biomass; Correlation; Couplings; Mathematical model; Solid modeling; Three dimensional displays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Audio Language and Image Processing (ICALIP), 2010 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-5856-1
  • Type

    conf

  • DOI
    10.1109/ICALIP.2010.5685120
  • Filename
    5685120