• DocumentCode
    2029006
  • Title

    Advanced Techniques for Watershed Visualization

  • Author

    Alarcon, Vladimir J. ; O´Hara, Charles G.

  • Author_Institution
    GeoResources Inst., Mississippi State Univ., Starkville, MS
  • fYear
    2006
  • fDate
    11-13 Oct. 2006
  • Firstpage
    30
  • Lastpage
    30
  • Abstract
    Analytical shaded relief is commonly used for visualization of digital elevation models (DEMs). Sometimes, the quality of unaltered analytical shaded relief can be lacking for identification of streams and water divides. Hydroshading is a technique that provides enhanced capabilities of visualization of hydrologically-meaningful topographical features. In this research, hydroshading algorithms are applied to NASA´s Shuttle Radar Topography Mission (SRTM) DEM datasets. The visualization technique is applied to coastal and inland watersheds in Mississippi (Saint Louis Bay and Luxapallila, respectively). The testing of hydroshading in these two areas shows that the technique is more effective in areas with moderate topographical relief than in low relief terrain. Combining hydroshading with standard three- dimensional visualization identification of water Hydroshaded DEMs were used to manually delineate Luxapallila and Saint Louis Bay´s Wolf River catchments. Delineation results are comparable to output of standard automated delineation produced by GIS software (BASINS).
  • Keywords
    data visualisation; geographic information systems; reservoirs; BASINS; GIS software; NASA; Shuttle Radar Topography Mission; analytical shaded relief; digital elevation models; hydroshading; watershed visualization; Digital elevation models; Geographic Information Systems; Rivers; Sea measurements; Software packages; Software standards; Surfaces; Synthetic aperture radar interferometry; Testing; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Imagery and Pattern Recognition Workshop, 2006. AIPR 2006. 35th IEEE
  • Conference_Location
    Washington, DC
  • ISSN
    1550-5219
  • Print_ISBN
    0-7695-2739-6
  • Electronic_ISBN
    1550-5219
  • Type

    conf

  • DOI
    10.1109/AIPR.2006.10
  • Filename
    4133972