• DocumentCode
    773919
  • Title

    Characterization and quantification of data voids in the shuttle Radar topography mission data

  • Author

    Hall, Ola ; Falorni, Giacomo ; Bras, Rafael L.

  • Author_Institution
    Dept. of Civil & Environ. Eng., Massachusetts Inst. of Technol., Cambridge, MA, USA
  • Volume
    2
  • Issue
    2
  • fYear
    2005
  • fDate
    4/1/2005 12:00:00 AM
  • Firstpage
    177
  • Lastpage
    181
  • Abstract
    The goal of this study was to characterize and quantify the occurrence of data voids in data from the Shuttle Radar Topography Mission (SRTM) for the conterminous United States. For this purpose, SRTM data and corresponding data from the national elevation data were downloaded in 21 samples spatially organized to cover the main topography of the U.S. Void locations in SRTM data were compared to terrain attributes and subsequently the area of individual data voids to the same attributes. It was found that data voids amounted to 0.3% of the total dataset. Data voids were found in all topographic settings but more often in slopes steeper than approximately 20° that face south (170°), and also in flat areas such as lakes and rivers. It was also found that more than 50% of all data voids were composed of connected pixels in groups less than six pixels. The largest data voids could be attributed to water bodies, while the rest could be explained by terrain-radar interaction characteristics.
  • Keywords
    geophysical signal processing; remote sensing by radar; synthetic aperture radar; terrain mapping; topography (Earth); Shuttle Radar Topography Mission; US void locations; United States; data voids; digital elevation model; synthetic aperture radar; terrain-radar interaction; topography; water bodies; Digital elevation models; Geoscience; Lakes; NASA; Rivers; Shadow mapping; Space technology; Surfaces; Synthetic aperture radar; Water; Data voids; Shuttle Radar Topography Mission (SRTM); digital elevation model (DEM); synthetic aperture radar (SAR); topography;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2004.842447
  • Filename
    1420300