Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: October 22, 1998
Publication Date: N/A
A two-source energy balance model developed to use remotely sensed surface temperature is described. By explicitly treating the energy fluxes from the soil and vegetation, the model is well suited for sparse-canopied surfaces. An overview of the model will be presented including discussion of several key assumptions which simplify model computations. Data from several field studies conducted over sparse-canopied surfaces are used to evaluate model performance in predicting surface energy flux exchanges. The model is applied to remotely sensed images at landscape scales, representative of areas on the order of 50 to 100 km. Data input issues when applying the model with remote sensing imagery for computing spatially distributed fluxes at landscape scales will be discussed.