Table of Contents Author Guidelines Submit a Manuscript
International Journal of Agronomy
Volume 2017, Article ID 3632501, 16 pages
Research Article

Comparative Analysis of METRIC Model and Atmometer Methods for Estimating Actual Evapotranspiration

1Department of Agricultural and Biosystems Engineering, South Dakota State University, Brookings, SD 57007, USA
2Minnesota Department of Agriculture, Saint Paul, MN, USA
3Iowa Soybean Association, Ankeny, IA, USA

Correspondence should be addressed to Arturo Reyes-González; xm.bog.pafini@orutra.seyer

Received 28 April 2017; Revised 23 September 2017; Accepted 9 October 2017; Published 3 December 2017

Academic Editor: Othmane Merah

Copyright © 2017 Arturo Reyes-González et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Fernando Fuentes-Peñailillo, Samuel Ortega-Farías, César Acevedo-Opazo, and David Fonseca-Luengo, “Implementation of a Two-Source Model for Estimating the Spatial Variability of Olive Evapotranspiration Using Satellite Images and Ground-Based Climate Data,” Water, vol. 10, no. 3, pp. 339, 2018. View at Publisher · View at Google Scholar
  • Arturo Reyes-González, Jeppe Kjaersgaard, Todd Trooien, Christopher Hay, and Laurent Ahiablame, “Estimation of Crop Evapotranspiration Using Satellite Remote Sensing-Based Vegetation Index,” Advances in Meteorology, vol. 2018, pp. 1–12, 2018. View at Publisher · View at Google Scholar
  • Hassan Awada, Giuseppe Ciraolo, Antonino Maltese, Giuseppe Provenzano, Miguel Angel Moreno Hidalgo, and Juan Ignacio Còrcoles, “Assessing the performance of a large-scale irrigation system by estimations of actual evapotranspiration obtained by Landsat satellite images resampled with cubic convolution,” International Journal of Applied Earth Observation and Geoinformation, vol. 75, pp. 96–105, 2019. View at Publisher · View at Google Scholar