• DocumentCode
    1248741
  • Title

    Using spatial context in satellite data to infer regional scale evapotranspiration

  • Author

    Price, John C.

  • Author_Institution
    USDA Agric. Res. Service Beltsville, MD, USA
  • Volume
    28
  • Issue
    5
  • fYear
    1990
  • fDate
    9/1/1990 12:00:00 AM
  • Firstpage
    940
  • Lastpage
    948
  • Abstract
    An estimate of evapotranspiration is developed by relating variations of satellite-derived surface temperature to a vegetation index computed from satellite visible and near-infrared data. The method requires independent estimates of evapotranspiration for a completely vegetated area and for a nonvegetated area, although such areas need not appear in the satellite data. A regional estimate of evapotranspiration is derived despite the lack of precise estimates for individual satellite measurements. The method requires spatial variability in the satellite data: it does not apply in uniform areas. In addition, a property is identified which permits discrimination of cirrus clouds from areas of varying soil moisture
  • Keywords
    atmospheric temperature; evaporation; hydrological techniques; hydrology; remote sensing; AD 1981 07 20; E Texas; USA; United States; W Nebraska; cirrus clouds discrimination; completely vegetated area; near-infrared data; nonvegetated area; regional scale evapotranspiration; satellite data spatial variability requirement; satellite remote sensing; satellite visible data; satellite-derived surface temperature; soil moisture; spatial context; vegetation fraction; vegetation index; Area measurement; Atmospheric modeling; Clouds; Earth; Land surface; Remote sensing; Rough surfaces; Satellites; Spatial resolution; Surface roughness; Temperature; Vegetation;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.58983
  • Filename
    58983