• DocumentCode
    2711508
  • Title

    Application of three-dimensional GIS to water resources

  • Author

    Li, Rong ; Sun, Tao ; Li, Guo

  • Author_Institution
    Minist. of Water Resources, China Inst. of Water Resources & Hydropower Res., Beijing, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Hydrological features are always important information for water resources computing. 3D (three-dimensional) GIS (Geographic Information System) technique provides a feature extracting and 3D scene displaying platform for management and decision. In our case study, contrasting and analyzing current three system development patterns, we have presented the 3D development tool and system architecture. On the base of research on 3D scene construction by OpenGL and hydrological feature extraction in GIS, we have taken the Tangjiashan Barrier Lake in Sichuan, China, as a study area in the system implementation. Because of basic development, the system is independent of any current GIS platform or control and able to extend function flexibly. The system also breaks through the limitation of traditional two-dimensional display and enables hydrological analysis. The proposed method can be applied into other relevant projects by reason of flexible function, lower cost and cross-platform.
  • Keywords
    feature extraction; geographic information systems; lakes; water resources; 3D GIS; 3D scene construction; China; OpenGL; Sichuan; Tangjiashan Barrier Lake; geographic insormation System; hydrological feature extraction; system development pattern; water resources computing; Feature extraction; Geographic Information Systems; Graphics; Information systems; Software; Three dimensional displays; Water resources; Geographic Information System; OpenGL; hydrological feature extraction; three-dimensional;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2011 19th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-024X
  • Print_ISBN
    978-1-61284-849-5
  • Type

    conf

  • DOI
    10.1109/GeoInformatics.2011.5981009
  • Filename
    5981009