• DocumentCode
    1531399
  • Title

    Radiative transfer model for simulating high-resolution satellite images

  • Author

    Gascon, Ferran ; Gastellu-Etchegorry, Jean-Philippe ; Lefèvre, Marie-José

  • Author_Institution
    Centre d´´Etudes Spatiales de la Biosphere, Toulouse, France
  • Volume
    39
  • Issue
    9
  • fYear
    2001
  • fDate
    9/1/2001 12:00:00 AM
  • Firstpage
    1922
  • Lastpage
    1926
  • Abstract
    A simulator of high spatial resolution satellite images is introduced. It is based on the coupling of two radiative transfer models: discrete anisotropic radiative transfer (DART) for terrestrial landscapes and second simulation of the satellite signal in the solar spectrum (6S) for the atmosphere. It works in the visible, near infrared, and midinfrared domains. The simulation procedure involves four steps: 1) assessment of the optical properties of the atmosphere, 2) simulation of high-resolution reflectance images of the Earth surface, 3) transformation of the bottom of the atmosphere (BOA) images to top of the atmosphere (TOA) images, and 4) convolution of the TOA spectral images with the sensor spectral response. Two applications of the simulator are presented: the detection of targets and the analysis of the spatial information. This simulator is being used as a radiative transfer reference model at the Centre National d´Etudes Spatiales (CNES), Toulouse, France
  • Keywords
    geophysical techniques; remote sensing; terrain mapping; 6S; DART; atmosphere; convolution; discrete anisotropic radiative transfer; geophysical measurement technique; high resolution; high-resolution image; land surface; midinfrared; near infrared; optical imaging; optics; radiative transfer model; satellite image; satellite remote sensing; terrain mapping; visible; Anisotropic magnetoresistance; Atmosphere; Atmospheric modeling; Earth; Electromagnetic coupling; Geometrical optics; Optical sensors; Reflectivity; Satellites; Spatial resolution;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.951083
  • Filename
    951083