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

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 (ETc) at different scal...

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Main Authors: Arturo Reyes-González, Jeppe Kjaersgaard, Todd Trooien, Christopher Hay, Laurent Ahiablame
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Advances in Meteorology
Online Access:http://dx.doi.org/10.1155/2018/4525021
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author Arturo Reyes-González
Jeppe Kjaersgaard
Todd Trooien
Christopher Hay
Laurent Ahiablame
author_facet Arturo Reyes-González
Jeppe Kjaersgaard
Todd Trooien
Christopher Hay
Laurent Ahiablame
author_sort Arturo Reyes-González
collection DOAJ
description 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 (ETc) 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 ETc was low at initial and early development stages, while ETc was high during mid-season and harvest stages. These results are not new but give us confidence in the rest of our ETc results. Daily ETc maps helped to explain the variability of crop water use during the growing season. Based on the results we can conclude that ETc maps developed from remotely sensed multispectral vegetation indices are a useful tool for quantifying crop water consumption at regional and field scales. Using ETc maps at the field scale, farmers can supply appropriate amounts of irrigation water corresponding to each growth stage, leading to water conservation.
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institution Kabale University
issn 1687-9309
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language English
publishDate 2018-01-01
publisher Wiley
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series Advances in Meteorology
spelling doaj-art-3fb7240872c6482f95fb5300945707492025-02-03T01:09:30ZengWileyAdvances in Meteorology1687-93091687-93172018-01-01201810.1155/2018/45250214525021Estimation of Crop Evapotranspiration Using Satellite Remote Sensing-Based Vegetation IndexArturo Reyes-González0Jeppe Kjaersgaard1Todd Trooien2Christopher Hay3Laurent Ahiablame4Department of Agricultural and Biosystems Engineering, South Dakota State University, Brookings, SD, USAMinnesota Department of Agriculture, St. Paul, MN, USADepartment of Agricultural and Biosystems Engineering, South Dakota State University, Brookings, SD, USAIowa Soybean Association, Ankeny, IA, USADepartment of Agricultural and Biosystems Engineering, South Dakota State University, Brookings, SD, USAIrrigation 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 (ETc) 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 ETc was low at initial and early development stages, while ETc was high during mid-season and harvest stages. These results are not new but give us confidence in the rest of our ETc results. Daily ETc maps helped to explain the variability of crop water use during the growing season. Based on the results we can conclude that ETc maps developed from remotely sensed multispectral vegetation indices are a useful tool for quantifying crop water consumption at regional and field scales. Using ETc maps at the field scale, farmers can supply appropriate amounts of irrigation water corresponding to each growth stage, leading to water conservation.http://dx.doi.org/10.1155/2018/4525021
spellingShingle Arturo Reyes-González
Jeppe Kjaersgaard
Todd Trooien
Christopher Hay
Laurent Ahiablame
Estimation of Crop Evapotranspiration Using Satellite Remote Sensing-Based Vegetation Index
Advances in Meteorology
title Estimation of Crop Evapotranspiration Using Satellite Remote Sensing-Based Vegetation Index
title_full Estimation of Crop Evapotranspiration Using Satellite Remote Sensing-Based Vegetation Index
title_fullStr Estimation of Crop Evapotranspiration Using Satellite Remote Sensing-Based Vegetation Index
title_full_unstemmed Estimation of Crop Evapotranspiration Using Satellite Remote Sensing-Based Vegetation Index
title_short Estimation of Crop Evapotranspiration Using Satellite Remote Sensing-Based Vegetation Index
title_sort estimation of crop evapotranspiration using satellite remote sensing based vegetation index
url http://dx.doi.org/10.1155/2018/4525021
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