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Advances in Meteorology
Volume 2018, Article ID 4525021, 12 pages
https://doi.org/10.1155/2018/4525021
Research Article

Estimation of Crop Evapotranspiration Using Satellite Remote Sensing-Based Vegetation Index

1Department of Agricultural and Biosystems Engineering, South Dakota State University, Brookings, SD, USA
2Instituto Nacional de Investigaciones Agrícolas, Forestales y Pecuarias (INIFAP), Blvd. Prof. José Santos Valdez, No. 1200 Pte, Col. Centro, Matamoros, COAH, Mexico
3Minnesota Department of Agriculture, St. Paul, MN, USA
4Iowa Soybean Association, Ankeny, IA, USA

Correspondence should be addressed to Arturo Reyes-Gonz√°lez; xm.bog.pafini@orutra.seyer

Received 25 August 2017; Accepted 26 December 2017; Published 1 February 2018

Academic Editor: Jan Friesen

Copyright © 2018 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.

Abstract

Irrigation water is limited and scarce in many areas of the world, including Comarca Lagunera, Mexico. Thus better estimations of irrigation water requirements are essential to conserve water. The general objective was to estimate crop water demands or crop evapotranspiration () at different scales using satellite remote sensing-based vegetation index. The study was carried out in northern Mexico (Comarca Lagunera) during four growing seasons. Six, eleven, three, and seven clear Landsat images were acquired for 2013, 2014, 2015, and 2016, respectively, for the analysis. The results showed that was low at initial and early development stages, while was high during mid-season and harvest stages. These results are not new but give us confidence in the rest of our results. Daily maps helped to explain the variability of crop water use during the growing season. Based on the results we can conclude that maps developed from remotely sensed multispectral vegetation indices are a useful tool for quantifying crop water consumption at regional and field scales. Using maps at the field scale, farmers can supply appropriate amounts of irrigation water corresponding to each growth stage, leading to water conservation.