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ARS Home » Plains Area » Bushland, Texas » Conservation and Production Research Laboratory » Soil and Water Management Research » Research » Publications at this Location » Publication #240843
Title: Evaluation of five surface energy balance approaches for mapping ET using Landsat TM data acquired during BEAREX08

Author
item Gowda, Prasanna
item Howell, Terry
item VINUKOLLU, RAGHUVEER - Princeton University
item Colaizzi, Paul
item Copeland, Karen

Submitted to: ASA-CSSA-SSSA Annual Meeting Abstracts
Publication Type: Abstract Only
Publication Acceptance Date: 10/15/2009
Publication Date: 11/1/2009
Citation: Gowda, P., Howell, T.A., Vinukollu, R., Colaizzi, P.D., Copeland, K.S. 2009. Evaluation of five surface energy balance approaches for mapping ET using Landsat TM data acquired during BEAREX08 [abstract]. American Society of Agronomy, Crop Science Society of America, Soil Science Society of America 2009 Annual Meeting Abstracts, November 1-5, 2009, Pittsburgh, Pennsylvania. 2009 CDROM.

Interpretive Summary:

Technical Abstract: Numerous energy balance (EB) algorithms have been developed to make use of remote sensing data for mapping evapotranspiration (ET) on a regional basis. Adopting any or a combination of these models for an operational ET remote sensing program requires thorough evaluation. In this study, we evaluated and compared five EB-based models for mapping ET using Landsat TM data in the semiarid Southern High Plains. Models evaluated include SEBAL, METRIC, TSM, SEBS and SSEB. Data for model evaluation were collected during two large ET remote sensing experiments, “Bushland Evapotranspiration and Agricultural Remote Sensing Experiment (BEAREX)” conducted during 2007 and 2008 summer cropping season. Performance of the models was evaluated by comparing estimated hourly ET with measured data from four large monolithic lysimeters at the USDA-ARS Conservation and Production Research Laboratory, Bushland, Texas. Crops on the lysimeters included cotton, forage corn and forage sorghum managed under irrigated conditions and cotton and grain sorghum managed under dryland conditions. Strengths and weaknesses of the ET models were identified and discussed.