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United States Department of Agriculture

Agricultural Research Service

Title: Are Single-Source, Remote-Sensing Surface-Flux Models Too Simple?

Authors
item Norman, John - UNIVERSITY OF WI
item Anderson, Martha
item Kustas, William

Submitted to: Workshop Proceedings
Publication Type: Proceedings
Publication Acceptance Date: August 5, 2006
Publication Date: August 5, 2006
Citation: Norman, J.M., Anderson, M.C., Kustas, W.P. 2006. Are single-source, remote-sensing surface flux models too simple. In: Proceeding of Earth Observation for Vegetation Monitoring and Water Management, American Institute of Physics, November 10-11, 2005, Naples, Italy. p. 170-177.

Technical Abstract: Both one-source and two-source parameterizations of surface sensible heat flux exchange using radiometric surface temperature have been proposed. Although one-source algorithms may provide reliable heat fluxes, they often require field calibration and hence are unable to accommodate the diverse range of surface conditions often encountered over a landscape. Two-source models require fewer assumptions and no a priori calibration, and therefore have a wider range of applicability without requiring any additional input data. A one-source scheme (SEBAL) that performs an “internal calibration” using hydrologic extremes (hot/dry and wet/cool pixels) encountered within a remote sensing scene has been proposed as a way to eliminate a priori calibration and the need for ancillary data. In this paper, some of the key assumptions in SEBAL are evaluated using a two-source model, field data, and simulations from a complex soil-vegetation-atmosphere transfer (SVAT) model, Cupid.

Last Modified: 10/25/2014
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