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Using METRIC to estimate surface energy fluxes over an alfalfa field in eastern Colorado

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dc.contributor.authorMkhwanazi, Mcebisi M., author
dc.contributor.authorChávez, José L., author
dc.contributor.authorColorado State University, publisher
dc.date.accessioned2020-02-12T17:22:49Z
dc.date.available2020-02-12T17:22:49Z
dc.date.issued2012
dc.description2012 annual AGU hydrology days was held at Colorado State University on March 21 - March 23, 2012.
dc.descriptionIncludes bibliographical references.
dc.description.abstractThe ability to estimate surface energy fluxes using remote sensing methods has enabled the determination of evapotranspiration over a large area with less cost. Several models that employ the energy balance method have been developed. The model discussed in this paper is the Mapping Evapotranspiration at high Resolution with Internalized Calibration (METRIC). It estimates net radiation (Rn), soil heat flux (G), sensible heat flux (H), and then determines latent heat flux (LE or ET) as a residual. Landsat 5 TM and Landsat 7 ETM images for the 2010 alfalfa growing season near Rocky Ford, CO, were processed and analyzed using Erdas Imagine 2010 Software. The accurate estimation of Rn and G is important as these two determine how much energy is available to be partitioned into H and LE. Hence, the focus on evaluating Rn, G and ET in this study. The results obtained from the processed images were compared with actual fluxes measured by instruments installed in the alfalfa field and performance indicators for each flux were determined. For Rn, the Mean Bias Error (MBE) was 17.8 W m-2 (3.3%), and the Root Mean Square Error (RMSE) was 22.1 W m-2 (4.1%), the Nash-Sutcliffe coefficient of Efficiency (NSE) value of 0.53 and R2 of 0.84. The G MBE was -3.0 W m-2 (-5.8%), RMSE of 14.2 Wm-2 (27.6%), NSE value of 0.79 and R2 of 0.96. Hourly ET resulted with an MBE of -0.08 mm h-1 (-10.3%) and an RMSE of 0.14 mm h-1 (17.6%), NSE of 0.71 and an R2 of 0.83. It was observed that the estimation of G had larger errors under smaller biomass surface conditions (e.g., when the alfalfa had just been harvested). However, overall the remote sensing model estimated well the heat fluxes and it seems to be suitable for applications at regional scales in hydrology studies.
dc.format.mediumborn digital
dc.format.mediumproceedings (reports)
dc.identifier.urihttps://hdl.handle.net/10217/201004
dc.identifier.urihttp://dx.doi.org/10.25675/10217/201004
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartofHydrology Days
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.titleUsing METRIC to estimate surface energy fluxes over an alfalfa field in eastern Colorado
dc.title.alternativeHydrology days 2012
dc.title.alternativeAGU hydrology days 2012
dc.typeText

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