• DocumentCode
    2139754
  • Title

    Using a coupled crop-SVAT model to assess crop canopy processes from remote sensing data

  • Author

    Olioso, A. ; Inoue, Y. ; Wigneron, J.-P. ; Ortega-Farias, S. ; Lecharpentier, P. ; Pardé, M. ; Calvet, J.C. ; Inizan, O.

  • Author_Institution
    INRA, Avignon, France
  • Volume
    7
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    3006
  • Abstract
    A model, coupling the STICS crop growth model, the ISBA SVAT model and radiative transfer models in various spectral domains, is used for simulating remote sensing signals at the same time as crop canopy processes. It is shown that remote sensing data are very sensitive to initial water content, mainly because of variations in vegetation growth. When compared to measurements, the coupled model works quite well. Then, it may be proposed for assimilating remote sensing data with the objective of monitoring canopy processes
  • Keywords
    agriculture; hydrological techniques; remote sensing; soil; vegetation mapping; IR radiometry; ISBA SVAT model; STICS crop growth model; agriculture; coupled crop SVAT model; coupled model; crop canopy process; geophysical measurement technique; hydrology; initial water content; radiative transfer; remote sensing; soil moisture; soil vegetation atmosphere transfer; thermal infrared; vegetation growth; vegetation mapping; water content; Atmospheric modeling; Crops; Electromagnetic coupling; Land surface; Land surface temperature; Object oriented modeling; Remote monitoring; Remote sensing; Soil moisture; Vegetation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    0-7803-7031-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2001.978236
  • Filename
    978236