• DocumentCode
    298796
  • Title

    Estimation of evapotranspiration using SVAT models and surface IR temperature

  • Author

    Olioso, Albert ; Taconet, Odile ; Mehrez, B. ; NIVOIT, Delphine ; PROMAYON, Florence ; Rahmoune, Leïla

  • Author_Institution
    Bioclimatologie INRA-INA-PG, Thiverval-Grignon, France
  • Volume
    1
  • fYear
    34881
  • fDate
    10-14 Jul1995
  • Firstpage
    516
  • Abstract
    Soil Vegetation Atmosphere Transfer (SVAT) models have been implemented to estimate energy and mass fluxes between soil, vegetation and atmosphere of various ecosystems. They can also simulate remote sensing data and in particular thermal infrared surface temperature. Usually, these models are simple, but they use realistic descriptions of radiative, turbulent and water transfers. These include description of stomatal control of transpiration fluxes. Some studies have shown that such models may be used to derive evapotranspiration from surface temperature, using inversion procedures. In this study, inversion of two different SVAT models are compared
  • Keywords
    atmospheric boundary layer; atmospheric humidity; atmospheric temperature; evaporation; hydrology; meteorology; soil; transpiration; SVAT model; Soil Vegetation Atmosphere Transfer; atmosphere boundary layer; energy transfer; evaporation; evapotranspiration; humidity; hydrology; inversion procedure; land surface; mass flux; meteorology; soil moisture; stomata; surface IR temperature; thermal infrared; transpiration; vegetation; Atmosphere; Atmospheric measurements; Atmospheric modeling; Equations; Influenza; Moisture; Soil measurements; Temperature; Thermal conductivity; 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.1995.520324
  • Filename
    520324