• DocumentCode
    1557884
  • Title

    NASA Computational Case Study, Hyperspectral Data Processing: Cryospheric Change Detection

  • Author

    Memarsadeghi, Nargess ; Doggett, Thomas

  • Author_Institution
    Goddard Space Flight Center, NASA, Greenbelt, MD, USA
  • Volume
    14
  • Issue
    4
  • fYear
    2012
  • Firstpage
    92
  • Lastpage
    97
  • Abstract
    This case study shows how remotely sensed hyperspectral data of NASA´s Earth Observing-1 satellite are processed to detect features such as ice, water, and snow on Earth.
  • Keywords
    geophysical image processing; ice; remote sensing; snow; water; Earth Observing-1 satellite; NASA; cryospheric change detection; feature detection; hyperspectral data processing; ice; remote sensing; remotely sensed hyperspectral data; snow; water; Change detection algorithms; Classification algorithms; Clustering algorithms; Earth; Hyperspectral sensors; Remote sensing; Change detection algorithms; Classification algorithms; Clustering algorithms; Earth; Earth Observing-1; Hyperspectral sensors; Remote sensing; classification; hyperspectral data processing; remote sensing;
  • fLanguage
    English
  • Journal_Title
    Computing in Science & Engineering
  • Publisher
    ieee
  • ISSN
    1521-9615
  • Type

    jour

  • DOI
    10.1109/MCSE.2012.43
  • Filename
    6241369
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1557884