Assessing Accuracy of Vegetation Index Method to Estimate Actual Evapotranspiration

Arturo Reyes-González; Jeppe Kjaersgaard; Todd Trooien; Christopher Hay; Laurent Ahiablame

doi:10.11648/j.earth.20180705.14

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Assessing Accuracy of Vegetation Index Method to Estimate Actual Evapotranspiration

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Earth Sciences
Volume 7, Issue 5, October 2018, Pages: 227-235
Received: Aug. 15, 2018; Accepted: Sep. 11, 2018; Published: Oct. 11, 2018

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Authors

Arturo Reyes-González, Instituto Nacional de Investigaciones Forestales, Agricolas y Pecuarias (INIFAP), Mexico City, México

Jeppe Kjaersgaard, Minnesota Department of Agriculture, Saint Paul, USA; Department of Agricultural and Biosystems Engineering, South Dakota State University, Brookings, USA

Todd Trooien, Department of Agricultural and Biosystems Engineering, South Dakota State University, Brookings, USA

Christopher Hay, Iowa Soybean Association, Ankeny, USA

Laurent Ahiablame, University of California ANR, Oakland, USA

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Abstract

The estimation of actual crop evapotranspiration (ET_a) maps using complex equations and remotely sensed shortwave and thermal infrared imagery can be challenging and may require input data that are not available. There is an opportunity, therefore to create a simpler and faster method to generate ET_a maps using fewer input parameters for situations where limited input data is available or greater uncertainty in the resulting ET estimates are acceptable. We compared the estimates of ET_a produced by a crop coefficient and NDVI-based (K_c-NDVI) method to a full energy balance (EB) method. Clear sky images from Landsat 7 and Landsat 8 were processed and used for the ET_a estimations from maize during two growing seasons in eastern South Dakota, USA. The results showed that the ET_a values from the K_c-NDVI method were lower than the ET_a values from the EB method by 18% for 2015 and 11% for 2016 growing season. During study period the accuracy of ET_a estimation decreased 17% with the K_c-NDVI method. For both years the mean bias error was 0.81 mm day^-1 and the root mean square error (RMSE) was 0.37 mm day^-1. The average daily ET_a of 5.3 mm day^-1. The K_c-NDVI method performed acceptable for ET_a estimations, indicating that this method can be used to estimate ET_a with minimum input parameters at focused regional and field scales for short time periods.

Keywords

Actual Evapotranspiration, Surface Energy Balance, NDV Crop Coefficient

To cite this article

Arturo Reyes-González, Jeppe Kjaersgaard, Todd Trooien, Christopher Hay, Laurent Ahiablame, Assessing Accuracy of Vegetation Index Method to Estimate Actual Evapotranspiration, Earth Sciences. Vol. 7, No. 5, 2018, pp. 227-235. doi: 10.11648/j.earth.20180705.14

Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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