• DocumentCode
    298732
  • Title

    Correcting the NOAA/NASA Pathfinder AVHRR Land data set for stratospheric aerosols

  • Author

    Ye, G. ; James, M. ; Vermote, E.

  • Author_Institution
    Gen. Sciences Corp., Laurel, MD, USA
  • Volume
    1
  • fYear
    34881
  • fDate
    10-14 Jul1995
  • Firstpage
    265
  • Abstract
    The NOAA/NASA Pathfinder AVHRR Land data set is being produced by using the complete afternoon Advanced Very High Resolution Radiometers (AVHRR) Global Area Coverage (GAC) archive. With satellite intercalibration and atmospheric corrections, the AVHRR Land Pathfinder has developed an operational processing that generates a global, long term data set of 8 km Normalized Difference Vegetation Index (NDVI) and associated reflectances, brightness temperatures, solar and scan geometry, and cloud estimation. Since this derived NDVI is also affected seriously by stratospheric aerosols contents, particularly after the eruption of Mont Pinatubo in the Philippines in June 1991, it is important to make stratospheric aerosol corrections for Pathfinder AVHRR Land data sets which have already been corrected for Rayleigh scattering and ozone absorption. This paper presents the detailed correction algorithms of an operational stratospheric aerosol correction scheme used for Pathfinder AVHRR Land data sets, and discusses some test results
  • Keywords
    atmospheric light propagation; atmospheric optics; geophysical techniques; infrared imaging; meteorology; remote sensing; stratosphere; GAC; Global Area Coverage; IR imaging; NASA; NDVI; NOAA; Normalized Difference Vegetation Index; Pathfinder AVHRR Land data; Philippines; Rayleigh scattering; atmosphere optics; atmospheric correction algorithm; land surface remote sensing; light scattering; measurement technique; optical imaging; remote sensing; satellite; stratospheric aerosol; terrain mapping; volcanic aerosol; Aerosols; Brightness temperature; Clouds; Geometry; NASA; Radiometers; Rayleigh scattering; Satellite broadcasting; Solar power generation; Vegetation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
  • Conference_Location
    Firenze
  • Print_ISBN
    0-7803-2567-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.1995.520254
  • Filename
    520254