• DocumentCode
    2527198
  • Title

    Wildfire spread simulation and visualization in virtual environments

  • Author

    Shuai Yun ; Chongcheng Chen ; Jianwei Li ; Liyu Tang

  • Author_Institution
    Key Lab. of Spatial Data Min. & Inf. Sharing of MOE, Fuzhou Univ., Fuzhou, China
  • fYear
    2011
  • fDate
    June 29 2011-July 1 2011
  • Firstpage
    315
  • Lastpage
    319
  • Abstract
    Wildfire spread is a complicated phenomenon that affected by many factors, such as terrain, vegetation, and weather conditions. This paper presents a wildfire-spread simulation and visualization method. A simulation system was developed based on OSG (Open Scene Graph) and FARSITE (Fire Area Simulator). The system can visualize a realistic 3D wildfire scenario considering the influence factors. Wildfire is rendered by particle system, while LOD (Level Of Detail) and curve morphing technique are used to animate the flame and smoke under conditions of slope and wind. During the propagation of the procedural wildfire, the appearances of burned plants are changed automatically. The wildfire spread is visualized according to the calculations from the wildfire simulation engine. The users can not only manage the objects such as fire lines, fire-fighting vehicles and water-bombers, but also assess the damage.
  • Keywords
    computer animation; computer vision; data visualisation; fires; forestry; geographic information systems; image morphing; rendering (computer graphics); 3D wildfire scenario; FARSITE; curve morphing; fire area simulator; fire-fighting vehicles; flame animation; open scene graph; particle system; procedural wildfire; rendering; smoke animation; terrain; vegetation; virtual environment; visualization; water-bombers; weather condition; wildfire simulation engine; wildfire spread simulation; Computational modeling; Engines; Fires; Rendering (computer graphics); Solid modeling; Vegetation mapping; Visualization; 3D visualization; FARSITE; OSG; Wildfire spread; virtual environment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Spatial Data Mining and Geographical Knowledge Services (ICSDM), 2011 IEEE International Conference on
  • Conference_Location
    Fuzhou
  • Print_ISBN
    978-1-4244-8352-5
  • Type

    conf

  • DOI
    10.1109/ICSDM.2011.5969054
  • Filename
    5969054