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Library Surface energy fluxes over El Reno, Oklahoma, using high-resolution remotely sensed data

Surface energy fluxes over El Reno, Oklahoma, using high-resolution remotely sensed data

Surface energy fluxes over El Reno, Oklahoma, using high-resolution remotely sensed data

Resource information

Date of publication
декабря 2003
Resource Language
ISBN / Resource ID
AGRIS:US201500084511
Pages
1-12

Accurate estimation of spatial distributions of evapotranspiration (ET) is a goal sought by hydrologists, agronomists, and meteorologists but is difficult to achieve. The usual approaches to estimating ET employ remote sensing observations and a surface energy flux model. However, resolution of remote sensing data, needed to observe patterns of biophysical variables, is commonly too coarse (>1 km) to distinguish between land cover types that constrain ET. Accuracy of ET estimates can be improved by using higher- resolution (

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Authors and Publishers

Author(s), editor(s), contributor(s)

French, Andrew N.
Schmugge, Thomas J.
Kustas, William P.
Brubaker, Kaye L.
Prueger, John

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