Estimation of Crop Evapotranspiration Using Satellite Remote Sensing-Based Vegetation Index. (1st February 2018)

• Record Type: Journal Article
• Authors: Reyes-González, Arturo; Kjaersgaard, Jeppe; Trooien, Todd; Hay, Christopher; Ahiablame, Laurent
• Other Names: Friesen Jan Academic Editor.
• Is Part Of: Advances in meteorology. Volume 2018(2018)
• Publication Date: 2018-02-01
• Subjects: Meteorology -- Periodicals; Meteorology; Periodicals; 551.505
• DOI: 10.1155/2018/4525021
• Languages: English
• ISSNs: 1687-9309

Abstract

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 (ET c ) 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 ET c was low at initial and early development stages, while ET c was high during mid-season and harvest stages. These results are not new but give us confidence in the rest of our ET c results. Daily ET c maps helped to explain the variability of crop water use during the growing season. Based on the results we can conclude that ET c maps developed from remotely sensed multispectral vegetation indices are a useful tool for quantifying crop water consumption at regional and field scales. Using ET c maps at the field scale, farmers can supply appropriate amounts of irrigation water corresponding to each growth stage, leading to water conservation.