TECHNICAL PAPERS
Feb 1, 2005

Satellite-Based Energy Balance to Assess Within-Population Variance of Crop Coefficient Curves

Publication: Journal of Irrigation and Drainage Engineering
Volume 131, Issue 1

Abstract

Quantifying evapotranspiration (ET) from agricultural fields is important for field water management, water resources planning, and water regulation. Traditionally, ET from agricultural fields has been estimated by multiplying the weather-based reference ET by crop coefficients (Kc) determined according to the crop type and the crop growth stage. Recent development of satellite remote sensing ET models has enabled us to estimate ET and Kc for large populations of fields. This study evaluated the distribution of Kc over space and time for a large number of individual fields by crop type using ET maps created by a satellite based energy balance (EB) model. Variation of Kc curves was found to be substantially larger than that for the normalized difference vegetation index because of the impacts of random wetting events on Kc , especially during initial and development growth stages. Two traditional Kc curves that are widely used in Idaho for crop management and water rights regulation were compared against the satellite-derived Kc curves. Simple adjustment of the traditional Kc curves by shifting dates for emergence, effective full cover, and termination enabled the traditional curves to better fit Kc curves as determined by the EB model. Applicability of the presented techniques in humid regions having higher chances of cloudy dates was discussed.

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Acknowledgments

The writers acknowledge and thank Robin Wells and Chuck Coiner of Twin Falls for providing field identification information used to ground-truth the crop classification, the AgriMet system of the U.S. Bureau of Reclamation in Boise, Id. for providing valuable weather and crop information, Clarence Robison of the University of Idaho for assistance in statistical analyses and software support, and Dr. Wim Bastiaanssen of WaterWatch, the Netherlands, for guidance, review, and encouragement during University of Idaho research with the SEBAL and related models. The writers also thank the reviewers for thorough and useful comments that greatly improved the paper. This study was financially supported by a Synergy grant from NASA via Raytheon Company, the Idaho Dept. of Water Resources, and the University of Idaho.

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Go to Journal of Irrigation and Drainage Engineering
Journal of Irrigation and Drainage Engineering
Volume 131Issue 1February 2005
Pages: 94 - 109

History

Received: May 6, 2003
Accepted: Jan 8, 2004
Published online: Feb 1, 2005
Published in print: Feb 2005

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Authors

Affiliations

Masahiro Tasumi [email protected]
Post-Doctoral Researcher, Univ. of Idaho Research and Extension Center, 3793 N. 3600 E., Kimberly, ID 83341. E-mail: [email protected]
Richard G. Allen [email protected]
Professor, Water Resources Engineering, Univ. of Idaho Research and Extension Center, 3793 N. 3600 E., Kimberly, ID 83341. E-mail: [email protected]
Ricardo Trezza
Associate Professor, Univ. of the Andes, Merida, Venezuela.
James L. Wright
Soil Scientist, USDA-ARS Northwest Irrigation and Soils Research Laboratory, 3793 N. 3600 E., Kimberly, ID 83341.

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