• DocumentCode
    297627
  • Title

    An automated overland flow model based upon remote sensing and GIS

  • Author

    Leu, Cheng-Hua

  • Author_Institution
    Dept. of Civil Eng., Nat. Chung-Hsing Univ., Taichung, Taiwan
  • Volume
    1
  • fYear
    1996
  • fDate
    27-31 May 1996
  • Firstpage
    160
  • Abstract
    This research uses remote sensing and raster-based GIS technology to establish an automated overland flow model in watershed hydrologic simulations. The basic framework is to construct watershed grid-based geographical feature data base. Based upon these raster watershed characteristics, the required hydrologic parameters for computer simulation can then be extracted automatically. Also, through watershed digital terrain model and simulated grid flow algorithms, a hydrologically ordered cell-to-cell flow sequence can thus be dictated. Finally, by combining the digital watershed flow algorithms with the kinematic-wave hydrologic modeling and using finite-difference method to solve the system equations, the output runoff hydrographs can thus be produced
  • Keywords
    geographic information systems; geophysics computing; hydrology; GIS; automated overland flow model; digital terrain model; finite-difference method; geophysics computing; grid-based geographical feature data base; hydrologically ordered cell-to-cell flow sequence; hydrology; output runoff hydrograph; raster-based GIS technology; remote sensing; runoff; simulated grid flow algorithm; simulation model; watershed hydrologic simulation; Automatic testing; Computational modeling; Equations; Geographic Information Systems; Multispectral imaging; Remote sensing; Reservoirs; Soil; Spatial databases; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International
  • Conference_Location
    Lincoln, NE
  • Print_ISBN
    0-7803-3068-4
  • Type

    conf

  • DOI
    10.1109/IGARSS.1996.516277
  • Filename
    516277