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Daily evapotranspiration estimates from extrapolating instantaneous airborne remote sensing ET values

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Abstract

In this study, six extrapolation methods have been compared for their ability to estimate daily crop evapotranspiration (ETd) from instantaneous latent heat flux estimates derived from digital airborne multispectral remote sensing imagery. Data used in this study were collected during an experiment on corn and soybean fields, covering an area of approximately 12 × 22 km, near Ames, Iowa. ETd estimation errors for all six methods and both crops varied from −5.7 ± 4.8% (MBE ± RMSE) to 26.0 ± 15.8%. Extrapolated ETd values based on the evaporative fraction (EF) method better compared to eddy covariance measured ET values. This method reported an average corn ETd estimate error of −0.3 mm day−1, with a corresponding error standard deviation of 0.2 mm day−1, i.e., about 5.7 ± 4.8% average under prediction when compared to average ETd values derived from eddy covariance energy balance systems. A solar radiation-based ET extrapolation method performed relatively well with ETd estimation error of 2.2 ± 10.1% for both crops. An alfalfa reference ET-based extrapolation fraction method (ETrF) yielded an overall ETd overestimation of about 4.0 ± 10.0% for both crops. It is recommended that the average daily soil heat flux not be neglected in the calculation of ETd when utilizing method EF. These results validate the use of the airborne multispectral RS-based ET methodology for the estimation of instantaneous ET and its extrapolation to ETd. In addition, all methods need to be further tested under a variety of vegetation surface homogeneity, crop growth stage, environmental and climatological conditions.

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Notes

  1. Mention of trade names or commercial products in this article is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the US Department of Agriculture.

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Acknowledgments

The authors are thankful to NASA’s Global Water and Energy Cycle Program, Utah Agricultural Experiment Station, to the Remote Sensing Services Laboratory-BIE-Utah State University and to the USDA-ARS, Conservation and Production Research Laboratory for their support. We also wish to thank Drs. Prasanna H. Gowda, Harikishan Jayanthi, and Jairo E. Hernandez for their constructive suggestions to improve the quality of this article.

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Authors and Affiliations

  1. Conservation and Production Research Laboratory, USDA-ARS, P.O. Drawer 10, Bushland, TX, 79012, USA

    José L. Chávez

  2. Biological and Irrigation Engineering Department, Utah State University, 4105 Old Main Hill, Logan, UT, 84322, USA

    Christopher M. U. Neale

  3. National Soil Tilth Laboratory, USDA-ARS, 2150 Pammel DR, Ames, IA, 50011-3120, USA

    John H. Prueger

  4. Hydrology and Remote Sensing Laboratory, USDA-ARS, Bldg. 007, BARC-WEST, Beltsville, MD, 20705, USA

    William P. Kustas

Authors
  1. José L. Chávez
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  2. Christopher M. U. Neale
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  4. William P. Kustas
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Corresponding author

Correspondence to José L. Chávez.

Additional information

Communicated by J. Ayars.

Appendix

Appendix

Table 2 EC measured daily and 30-min R n and heat fluxes over corn fields
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Table 3 EC measured daily and 30-min R n and heat fluxes over soybean fields
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Table 4 RS-ETd estimation errors including corn and soybean fields together
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Table 5 Daily ET estimation errors in “mm day−1” for corn fields
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Table 6 Daily ET estimation errors in percent (%) for corn fields
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Table 7 Daily ET estimation errors in “mm day−1” for soybean fields
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Table 8 Daily ET estimation errors in percent (%) for soybean fields
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Table 9 RS-based ETd estimation errors for corn resulting from extrapolating around noon ETi values only and when compared to ECn-based ETd values
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Table 10 RS-based ETd estimation errors for soybean resulting from extrapolating around noon ETi values only and when compared to ECn-based ETd values
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Table 11 RS-based ETd estimation errors for corn resulting from extrapolating around noon ETi values only, excluding DOY 189 and when compared to ECn-based ETd values
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Table 12 RS-based ETd estimation errors for soybean resulting from extrapolating around noon ETi values only, excluding DOY 189 and when compared to ECn-based ETd values
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Chávez, J.L., Neale, C.M.U., Prueger, J.H. et al. Daily evapotranspiration estimates from extrapolating instantaneous airborne remote sensing ET values. Irrig Sci 27, 67–81 (2008). https://doi.org/10.1007/s00271-008-0122-3

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