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Proceedings Paper

Comparison of remote sensing-based energy balance methods for estimating crop evapotranspiration
Author(s): M. P. Gonzalez-Dugo; C. M. U. Neale; L. Mateos; W. P. Kustas; F. Li
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Paper Abstract

Remote sensing of evapotranspiration has become more common during the last decade. Two of the approaches being used are the reflectance-based crop coefficient method and the energy balance method. In the energy balance approach, surface temperature is used to calculate sensible heat flux and long wave radiation and depending on the complexity of the model, different methods are used to handle the aerodynamic temperature term. This paper compares two energy balance approaches with different methodology for estimating sensible heat flux (H): (i) one layer energy balance model and (ii) two-layer energy balance model called the Two Source Model. The results from the two approaches are compared using a set of comprehensive field and remote sensing measurements of model input data and actual evapotranspiration measured with a dense network of eddy covariance stations during the SMACEX campaign in central Iowa during the 2002 growing season. Results show that both methods of estimating H perform well using calibrated Landsat Thematic Mapper imagery as remotely sensed inputs.

Paper Details

Date Published: 17 October 2006
PDF: 9 pages
Proc. SPIE 6359, Remote Sensing for Agriculture, Ecosystems, and Hydrology VIII, 63590Z (17 October 2006); doi: 10.1117/12.690056
Show Author Affiliations
M. P. Gonzalez-Dugo, IFAPA CIFA (Spain)
C. M. U. Neale, Utah State Univ. (United States)
L. Mateos, Instituto de Agricultura Sostenible, CSIC (Spain)
W. P. Kustas, USDA-ARS (United States)
F. Li, USDA-ARS (United States)

Published in SPIE Proceedings Vol. 6359:
Remote Sensing for Agriculture, Ecosystems, and Hydrology VIII
Manfred Owe; Guido D'Urso; Christopher M. U. Neale; Ben T. Gouweleeuw, Editor(s)

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