• DocumentCode
    299363
  • Title

    Modeling transpiration and water stress in vegetation from satellite and ground measurements

  • Author

    Kalluri, S.N.V. ; Doraiswamy, P.

  • Author_Institution
    Dept. of Geogr., Maryland Univ., College Park, MD, USA
  • Volume
    2
  • fYear
    34881
  • fDate
    10-14 Jul1995
  • Firstpage
    1483
  • Abstract
    A method is developed to estimate transpiration (T) by combining satellite and ground measurements. The method follows the energy balance approach where transpiration is estimated as a residual when net radiation (Rn), sensible (H) and soil heat (G) fluxes are known. The model estimates T from the vegetation layer only, and does not require a complex two layer model to separate the fluxes from the canopy and the ground layers. The method was validated using data collected during the First ISLSCP Field Experiment (FIFE), and the modeled values of evapotranspiration (ET) were within 9% of ground observations. The model was applied to data collected from four crop reporting districts in Iowa during 1988 to derive T and a crop water stress index. Model results successfully monitored the incidence, degree and duration of water stress among the different crop reporting districts
  • Keywords
    agriculture; geophysical techniques; hydrological techniques; remote sensing; transpiration; AD 1988; FIFE; First ISLSCP Field Experiment; Iowa; USA; United States; agriculture; canopy; evapotranspiration; geophysical measurement technique; ground measurement; hydrology; net radiation; optical imaging; satellite remote sensing; transpiration; two layer model; vegetation; vegetation mappping; visible IR infrared; water balance; water stress; Crops; Educational institutions; Geography; Monitoring; Residual stresses; Satellites; Soil measurements; Stress measurement; Surface resistance; Temperature; 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.1995.521787
  • Filename
    521787