• DocumentCode
    801373
  • Title

    Improving MODIS surface BRDF/Albedo retrieval with MISR multiangle observations

  • Author

    Jin, Yufang ; Gao, Feng ; Schaaf, Crystal B. ; Li, Xiaowen ; Strahler, Alan H. ; Bruegge, Carol J. ; Martonchik, John V.

  • Author_Institution
    Dept. of Geogr., Boston Univ., MA, USA
  • Volume
    40
  • Issue
    7
  • fYear
    2002
  • fDate
    7/1/2002 12:00:00 AM
  • Firstpage
    1593
  • Lastpage
    1604
  • Abstract
    We explore a synergistic approach to use the complementary angular samplings from the Multi-angle Imaging SpectroRadiometer (MISR) and Moderate Resolution Imaging Spectroradiometer (MODIS) to improve MODIS surface bidirectional reflectance distribution function (BRDF) and albedo retrieval. Preliminary case studies show that MODIS and MISR surface bidirectional reflectance factors (BRFs) are generally comparable in the green, red, and near infrared. An information index is introduced to characterize the information content of directional samplings, and it is found that MISR angular observations can bring additional information to the MODIS retrieval, especially when the MISR observations are close to the principal plane. We use the BRDF parameters derived from the MISR surface BRFs as a priori information and derive a posteriori estimates of surface BRDF parameters with the MODIS observations. Results show that adding MISR angular samplings can reduce the relative BRF prediction error by up to 10% in the red and green, compared to the retrievals from MODIS-only observations which are close to the cross-principal plane.
  • Keywords
    albedo; geophysical techniques; terrain mapping; BRDF; IR; MISR; MODIS; Moderate Resolution Imaging Spectroradiometer; Multi-angle Imaging SpectroRadiometer; albedo; bidirectional reflectance distribution function; geophysical measurement technique; infrared; land surface; multiangle observations; multispectral remote sensing; optical remote sensing; terrain mapping; visible; Bidirectional control; Distribution functions; Earth Observing System; Extraterrestrial measurements; Kernel; MODIS; Pollution measurement; Remote sensing; Sampling methods; Spectroradiometers;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2002.801145
  • Filename
    1025524