• DocumentCode
    2208961
  • Title

    A computational-grid based system for continental drainage network extraction using SRTM digital elevation models

  • Author

    Curkendall, David W. ; Fielding, Eric J. ; Cheng, Tsan-Huei ; Pohl, Josef M.

  • Author_Institution
    Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
  • fYear
    2003
  • fDate
    6-9 Oct. 2003
  • Firstpage
    181
  • Lastpage
    190
  • Abstract
    We describe a new effort for the computation of elevation derivatives using the shuttle radar topography mission (SRTM) results. Jet Propulsion Laboratory´s (JPL) SRTM has produced a near global database of highly accurate elevation data. The scope of this database enables computing precise stream drainage maps and other derivatives on continental scales. We describe a computing architecture for this computationally very complex task based on NASA´s information power grid (IPG), a distributed high performance computing network based on the GLOBUS infrastructure. The SRTM data characteristics and unique problems they present are discussed. A new algorithm for organizing the conventional extraction algorithms (Jenson and Domingue, 1988) into a cooperating parallel grid is presented as an essential component to adapt to the IPG computing structure. Preliminary results are presented for a Southern California test area, established for comparing SRTM and its results against those produced using the USGS national elevation data (NED) model.
  • Keywords
    aerospace computing; geographic information systems; grid computing; parallel architectures; terrain mapping; topography (Earth); GLOBUS infrastructure; IPG; JPL; Jet Propulsion Laboratory; NASA; NED model; SRTM; Southern California; US geological survey; USGS; computational-grid based system; continental drainage network extraction; digital elevation models; distributed computing network; global database; information power grid; national elevation data; parallel grid; shuttle radar topography mission; stream drainage maps; Computer networks; Data mining; Databases; Digital elevation models; Distributed computing; Grid computing; High performance computing; Propulsion; Radar; Surfaces;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Processing Workshops, 2003. Proceedings. 2003 International Conference on
  • ISSN
    1530-2016
  • Print_ISBN
    0-7695-2018-9
  • Type

    conf

  • DOI
    10.1109/ICPPW.2003.1240369
  • Filename
    1240369