Title :
Using spatial context in satellite data to infer regional scale evapotranspiration
Author_Institution :
USDA Agric. Res. Service Beltsville, MD, USA
fDate :
9/1/1990 12:00:00 AM
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;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on