• DocumentCode
    1134352
  • Title

    Atmospheric correction of Landsat ETM+ land surface imagery. II. Validation and applications

  • Author

    Liang, Shunlin ; Fang, Hongliang ; Morisette, Jeffrey T. ; Chen, Mingzhen ; Shuey, Chad J. ; Walthall, Charles L. ; Daughtry, Craig S T

  • Author_Institution
    Dept. of Geogr., Univ. of Maryland, College Park, MD, USA
  • Volume
    40
  • Issue
    12
  • fYear
    2002
  • fDate
    12/1/2002 12:00:00 AM
  • Firstpage
    2736
  • Lastpage
    2746
  • Abstract
    For pt.I see ibid., vol.39, no.11, p.2490-8 (2001). This is the second paper of the series on atmospheric correction of Enhanced Thematic Mapper-Plus (ETM+) land surface imagery. In the first paper, a new algorithm that corrects heterogeneous aerosol scattering and surface adjacency effects was presented. In this study, our objectives are to (1) evaluate the accuracy of this new atmospheric correction algorithm using ground radiometric measurements, (2) apply this algorithm to correct Moderate-Resolution Imaging Spectroradiometer (MODIS) and SeaWiFS imagery, and (3) demonstrate how much atmospheric correction of ETM+ imagery can improve land cover classification, change detection, and broadband albedo calculations. Validation results indicate that this new algorithm can retrieve surface reflectance from ETM+ imagery accurately. All experimental cases demonstrate that this algorithm can be used for correcting both MODIS and SeaWiFS imagery. Although more tests and validation exercises are needed, it has been proven promising to correct different multispectral imagery operationally. We have also demonstrated that atmospheric correction does matter.
  • Keywords
    aerosols; atmospheric optics; atmospheric techniques; remote sensing; terrain mapping; Enhanced Thematic Mapper-Plus; Landsat ETM+; MODIS imagery; Moderate-Resolution Imaging Spectroradiometer; SeaWiFS imagery; atmospheric correction algorithm; broadband albedo calculations; change detection; ground radiometric measurements; heterogeneous aerosol scattering; land cover classification; land surface imagery; multispectral imagery; surface adjacency effects; surface reflectance; validation; Aerosols; Atmospheric measurements; Change detection algorithms; Image retrieval; Land surface; MODIS; Radiometry; Remote sensing; Satellites; Scattering;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2002.807579
  • Filename
    1176165