• DocumentCode
    340452
  • Title

    Simulating observations from the MODIS instrument with variable surface and atmospheric conditions

  • Author

    Yang, Kai ; Fleig, Albert J. ; Vermote, Eric F. ; Descloitres, Jacques

  • Author_Institution
    Syst. Sci. & Appl. Inc., NASA Goddard Space Flight Center, Greenbelt, MD, USA
  • Volume
    2
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    1328
  • Abstract
    This paper describes the theoretical model for simulating Moderate-Resolution Imaging Spectroradiometer (MODIS) observations under varying environmental conditions. The model includes mathematical descriptions of the orbit of the Earth Observing System (EOS) AM platform, imaging process of the optical sensor, spectral response of the detectors, and realistic illumination and observation geometry for the scene being viewed. It includes a data base that supplies the model with variable surface and atmospheric conditions. Land surface elements are characterized with biome type, and reflectance is described using a time-dependent model bidirectional reflectance distribution function (BRDF). Ocean whitecap and Dun glint are dependent on National Meteorological Center (NMC) analysis wind speed and direction, and water leaving radiance is determined from chlorophyll concentration obtained from the Coastal Zone Color Scanner (CZCS). Cloud cover comes from the International Satellite Cloud Climatology Project (ISCCP) climatology data set. The mathematical descriptions and databases are implemented in a software package that produces data sets of calibrated MODIS data in the exact format that operational processing of real data will provide. The results are used in the test and development of MODIS data processing software
  • Keywords
    atmospheric techniques; geophysical techniques; hydrological techniques; oceanographic techniques; remote sensing; terrain mapping; BRDF; EOS; MODIS; Moderate-Resolution Imaging Spectroradiometer; atmosphere; atmospheric conditions; bidirectional reflectance distribution function; biome type; geophysical measurement technique; land surface; multispectral remote sensing; ocean; optical method; satellite remote sensing; simulation; terrain mapping; theoretical model; variable surface conditions; Atmospheric modeling; Clouds; Earth Observing System; Instruments; Land surface; MODIS; Mathematical model; Optical imaging; Sea surface; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International
  • Conference_Location
    Hamburg
  • Print_ISBN
    0-7803-5207-6
  • Type

    conf

  • DOI
    10.1109/IGARSS.1999.774620
  • Filename
    774620