• DocumentCode
    3447713
  • Title

    MODIS infrared (IR) water vapor calibration model and assessment

  • Author

    Liang Chang ; Shuanggen Jin

  • Author_Institution
    Coll. of Marine Sci., Shanghai Ocean Univ., Shanghai, China
  • fYear
    2013
  • fDate
    20-22 June 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Moderate Resolution Imaging Spectroradiometer (MODIS) can monitor precipitable water vapor (PWV) with high accuracy and large scales over land and ocean, using both near-infrared (nIR) bands and traditional IR bands. The MODIS nIR PWV is only available during daytime, which can be retrieved at 1×1km spatial resolution with high accuracy, while the MODIS IR PWV can be obtained during both the day and night time with a lower spatial resolution (5×5km), but is less accurate than the nIR PWV. In this paper, the performances of MODIS water vapor products at IR and nIR bands are evaluated by comparing with ground continuous GPSobservations. Results show that the traditional linear regression analysis is not the best choice to calibrate the MODIS PWV from the IR band. A new calibration model is being developed for the MODIS IR water vapor product using the IGS and radiosonde observations within the MODIS image coverage, and calibrated results are presented and assessed.
  • Keywords
    atmospheric humidity; atmospheric precipitation; atmospheric techniques; calibration; remote sensing; MODIS IR water vapor product; MODIS image coverage; MODIS infrared water vapor calibration model; MODIS nIR PWV; Moderate Resolution Imaging Spectroradiometer; ground continuous GPSobservations; near-infrared bands; precipitable water vapor; traditional IR bands; Analytical models; Atmospheric modeling; Calibration; Global Positioning System; Linear regression; MODIS; Spatial resolution; Moderate Resolution Imaging Spectroradiometer (MODIS); calibration model; infrared; water vapor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics (GEOINFORMATICS), 2013 21st International Conference on
  • Conference_Location
    Kaifeng
  • ISSN
    2161-024X
  • Type

    conf

  • DOI
    10.1109/Geoinformatics.2013.6626197
  • Filename
    6626197