• DocumentCode
    1122790
  • Title

    Validation of the Shuttle Radar Topography Mission height data

  • Author

    Brown, Charles G., Jr. ; Sarabandi, Kamal ; Pierce, Leland E.

  • Author_Institution
    Lawrence Livermore Nat. Lab., CA, USA
  • Volume
    43
  • Issue
    8
  • fYear
    2005
  • Firstpage
    1707
  • Lastpage
    1715
  • Abstract
    The Shuttle Radar Topography Mission (SRTM) provided data for detailed topographical maps of about 80% of the Earth´s land surface. SRTM consisted of single-pass C- and X-band interferometric synthetic aperture radars (INSARs). In order to utilize SRTM data in remote sensing applications the data must be calibrated and validated. This paper presents The University of Michigan´s SRTM calibration and validation campaign and our results using recently acquired C-band SRTM data of our calibration sites. An array of calibration targets was deployed with the intention of determining the accuracy of INSAR-derived digital elevation maps. The array spanned one of the X-band swaths and stretched from Toledo, OH to Lansing, MI. Passive and active targets were used. The passive targets included trihedrals and tophats. The locations in latitude, longitude, and elevation of the point targets were determined using differential GPS. We also acquired U.S. Geological Survey (USGS) digital elevation models (DEMs) to use in the calibration and validation work. The SRTM data used in this study are both Principal Investigator Processor (PI) data, which are not the refined final data product, and the ground data processing system (GDPS) data, which are a more refined data product. We report that both datasets for southeastern Michigan exceed the SRTM mission specifications for absolute and relative height errors for our point targets. A more extensive analysis of the SRTM GDPS data indicates that it meets the absolute and relative accuracy requirements even for bare surface areas. In addition, we validate the PI height error files, which are used to provide a statistical characterization of the difference between the SRTM GDPS and USGS DEM heights. The statistical characterization of the GDPS-USGS difference is of interest in forest parameter retrieval algorithms.
  • Keywords
    Global Positioning System; calibration; remote sensing by radar; spaceborne radar; synthetic aperture radar; terrain mapping; topography (Earth); Earth land surface; Global Positioning System; Lansing; Michigan; Ohio; Shuttle Radar Topography Mission; Toledo; US Geological Survey; USA; bare surface areas; differential GPS; digital elevation models; forest parameter retrieval algorithms; ground data processing system; height data; interferometric SAR; principal investigator processor; remote sensing; synthetic aperture radar; tophats; topographical maps; trihedrals; Calibration; Earth; Economic indicators; Global Positioning System; Land surface; Radar remote sensing; Refining; Remote sensing; Surface topography; Synthetic aperture radar interferometry; Digital elevation model (DEM); Shuttle Radar Topography Mission; validation;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2005.851789
  • Filename
    1487629