• DocumentCode
    812412
  • Title

    Remote sensing of water vapor in the near IR from EOS/MODIS

  • Author

    Kaufman, Yoram J. ; Gao, Bo-Cai

  • Volume
    30
  • Issue
    5
  • fYear
    1992
  • fDate
    9/1/1992 12:00:00 AM
  • Firstpage
    871
  • Lastpage
    884
  • Abstract
    The LOWTRAN-7 code was used to simulate remote sensing of water vapor over 20 different surface covers. The simulation was used to optimize the water vapor channel selection and to test the accuracy of the remote sensing method. The channel selection minimizes the uncertainty in the derived water vapor due to variations in the spectral dependence of the surface reflectance. The selection also minimizes the sensitivity of the selected channels to possible drift in the channel position. The use of additional MODIS channels reduces the errors due to the effect of haze, subpixel clouds and uncertainties in the temperature profile. Remote sensing of the variation of water vapor from day to day will be more accurate, because the surface reflectances vary slowly with time. The method was applied to Airborne Visible Infrared Imaging Spectrometer (AVIRIS) data
  • Keywords
    atmospheric humidity; atmospheric techniques; remote sensing; AVIRIS; Airborne Visible Infrared Imaging Spectrometer; LOWTRAN-7 code; MODIS channels; accuracy; atmosphere; channel selection; errors; haze; near IR; remote sensing; spectral dependence; subpixel clouds; surface covers; surface reflectance; temperature profile; water vapor; Clouds; Earth Observing System; Infrared imaging; MODIS; Optimization methods; Reflectivity; Remote sensing; Temperature sensors; Testing; Uncertainty;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.175321
  • Filename
    175321