• DocumentCode
    796619
  • Title

    Estimation of Systematic Errors of MODIS Thermal Infrared Bands

  • Author

    Liu, Ronggao G. ; Liu, Jiyuan Y. ; Liang, Shunlin

  • Author_Institution
    Inst. of Geogr. Sci. & Natural Resources Res., Chinese Acad. of Sci., Beijing
  • Volume
    3
  • Issue
    4
  • fYear
    2006
  • Firstpage
    541
  • Lastpage
    545
  • Abstract
    This letter reports a statistical method to estimate detector-dependent systematic error in Moderate Resolution Imaging Spectroradiometer (MODIS) thermal infrared (TIR) Bands 20-25 and 27-36. There exist scan-to-scan overlapped pixels in MODIS data. By analyzing a sufficiently large amount of those most overlapped pixels, the systematic error of each detector in the TIR bands can be estimated. The results show that the Aqua MODIS data are generally better than the Terra MODIS data in 160 MODIS TIR detectors. There are no detector-dependent systematic errors in Bands 31 and 32 for both Terra and Aqua MODIS data. The maximum detector errors are 3.00 K in Band 21 of Terra and -8.15 K in that of Aqua for brightness temperatures of more than 250 K
  • Keywords
    geophysical techniques; infrared imaging; land surface temperature; measurement errors; radiometry; statistical analysis; -8.15 K; 3.00 K; MODIS TIR detectors; MODIS thermal infrared bands; Moderate Resolution Imaging Spectroradiometer; brightness temperatures; detector-dependent systematic error; land surface temperature; scan-to-scan overlapped pixels; systematic error estimation; Estimation error; Infrared detectors; Infrared imaging; Infrared spectra; Land surface temperature; MODIS; Ocean temperature; Sea surface; Statistical analysis; Temperature sensors; Land surface temperature (LST); Moderate Resolution Imaging Spectroradiometer (MODIS); systematic errors; thermal infrared (TIR);
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2006.879104
  • Filename
    1715313