• DocumentCode
    2114387
  • Title

    An accuracy assessment of some procedures for calibrating satellite imagery to a common radiometric reference

  • Author

    Renzullo, L.J. ; Lynch, M.J. ; Campbell, N.A.

  • Author_Institution
    Curtin Univ. of Technol., Perth, WA, Australia
  • Volume
    3
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    1346
  • Abstract
    Many multitemporal change detection studies require calibrated sequences of satellite imagery to monitor changes in the Earth surface free of the affects of atmospheric and other influences. Two image calibration procedures were assessed for their ability to estimate the atmospheric contribution to the satellite signal from the calibration results. A sequence of TM and ETM+ imagery over Hay (93/84) was used in the analysis because of the availability of the necessary in situ data. The assessment focussed on the comparison of modeled (from in situ data) and estimated (from the calibration results) values of digital counts associated with a zero surface reflectance. Generally, best agreement with modeled values was observed for band 1-3. Bands 4-7 typically displayed poorer agreement with modeled values due mainly to the increased scatter about the regression lines.
  • Keywords
    calibration; geophysical signal processing; geophysical techniques; image processing; image sequences; multidimensional digital filters; terrain mapping; ETM+; IR; Landsat; TM; Thematic Mapper; accuracy; atmospheric contribution; calibration; common radiometric reference; geophysical measurement technique; hyperspectral remote sensing; image calibration; image processing; image sequence; infrared; land surface; multispectral remote sensing; multitemporal change detection; satellite imagery; terrain mapping; visible; Atmospheric modeling; Availability; Calibration; Earth; Image analysis; Image sequence analysis; Monitoring; Radiometry; Reflectivity; Satellite broadcasting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
  • Print_ISBN
    0-7803-7536-X
  • Type

    conf

  • DOI
    10.1109/IGARSS.2002.1026111
  • Filename
    1026111