Simplified Surface Energy Balance (SSEB) approach for estimating actual ET: An evaluation with lysimeter data
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Abstract
Evapotranspiration (ET) is an essential component of the water balance and a major consumptive use of irrigation water and precipitation on cropland. Numerous energy balance (EB) algorithms have been developed to make use of remote sensing data to estimate ET regionally. However, a review of different ET mapping algorithms shows that most EB models are complex to use and may not be suitable for operational ET remote sensing. Efforts are being made to simplify procedures to estimate regional ET mainly through the scaling of reference ET. The Simplified Surface Energy Balance (SSEB) is one such method. In this study, the SSEB approach was applied to six Landsat TM images covering a major portion of the Southern High Plains (parts of the Texas Panhandle and northeastern New Mexico) that were acquired during the 2007 cropping season. Performance of the SSEB was evaluated by comparing estimated ET with measured daily ET from four large monolithic lysimeters, with each lysimeter located in the center of a 210 by 225 m field at the USDA_ARS Conservation and Production Research Laboratory, Bushland, Tex. [350 11' N, 1020 06' W; 1,170 m elevation MSL]. Results indicated that the SSEB can provide ET estimates with reasonable accuracy for the Bushland location. However, more evaluation is needed for different agroclimatological conditions in the region.
Publication type | Conference Paper |
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Publication Subtype | Conference Paper |
Title | Simplified Surface Energy Balance (SSEB) approach for estimating actual ET: An evaluation with lysimeter data |
DOI | 10.13031/2013.24610 |
Year Published | 2008 |
Language | English |
Publisher | American Society of Agricultural and Biological Engineers |
Contributing office(s) | Earth Resources Observation and Science (EROS) Center |
Description | 083651 |
Conference Title | Annual International Meeting |
Conference Location | Providence, RI |
Conference Date | June 29-July 2, 2008 |
Google Analytic Metrics | Metrics page |