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Mapping ET in southeastern Colorado using a surface aerodynamic temperature model

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dc.contributor.authorChávez, José L., author
dc.contributor.authorStraw, Dale, author
dc.contributor.authorGarcia, Luis A., author
dc.contributor.authorLey, Thomas W., author
dc.contributor.authorAndales, Allan A., author
dc.contributor.authorSimmons, Lane H., author
dc.contributor.authorU.S. Committee on Irrigation and Drainage, publisher
dc.date.accessioned2020-07-27T14:20:20Z
dc.date.available2020-07-27T14:20:20Z
dc.date.issued2010
dc.descriptionPresented at Meeting irrigation demands in a water-challenged environment: SCADA and technology: tools to improve production: a USCID water management conference held on September 28 - October 1, 2010 in Fort Collins, Colorado.
dc.description.abstractAccurate estimates of spatially distributed evapotranspiration (ET) using remote sensing inputs could help improve crop water management, the assessment of regional drought conditions, irrigation efficiency, ground water depletion, and the verification of the use of water rights over large irrigated areas. In this study, ET was mapped using surface reflectance and radiometric temperature images from the Landsat 5 satellite in a surface energy budget algorithm driven by a surface aerodynamic temperature (SAT_ET) model. The SAT_ET model was developed using surface temperature, horizontal wind speed, air temperature and crop biophysical characteristic measured over an irrigated alfalfa field in Southeastern Colorado. Estimates of the remote sensing-based ET for a 4.0 hectare alfalfa field and a 3.5 hectare oats field, during the 2009 cropping season, were evaluated using two monolithic weighing lysimeters located at the Colorado State University Arkansas Valley Research Center (AVRC) in Rocky Ford, Colorado. Although the overall model performance was encouraging, results indicated that the SAT_ET model performed well under dry atmospheric and soil conditions and less accurately under high air relative humidity and soil water content conditions. These findings are evidence that SAT_ET needs to be further developed to perform better under a range of environmental and atmospheric conditions.
dc.format.mediumborn digital
dc.format.mediumproceedings (reports)
dc.identifier.urihttps://hdl.handle.net/10217/210911
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartofAg Water Conservation Policy
dc.relation.ispartofMeeting irrigation demands in a water-challenged environment: SCADA and technology: tools to improve production, Fort Collins, Colorado, September 28-October 1, 2010
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.sourceContained in: Meeting irrigation demands in a water-challenged environment: SCADA and technology: tools to improve production, Fort Collins, Colorado, September 28 - October 1, 2010, http://hdl.handle.net/10217/79244
dc.titleMapping ET in southeastern Colorado using a surface aerodynamic temperature model
dc.title.alternativeMeeting irrigation demands in a water-challenged environment
dc.typeText

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