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

Joint Authors

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

Source

Advances in Meteorology

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-02-01

Country of Publication

Egypt

No. of Pages

12

Main Subjects

Physics

Abstract EN

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.

American Psychological Association (APA)

Reyes-González, Arturo& Kjaersgaard, Jeppe& Trooien, Todd& Hay, Christopher& Ahiablame, Laurent. 2018. Estimation of Crop Evapotranspiration Using Satellite Remote Sensing-Based Vegetation Index. Advances in Meteorology،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1118735

Modern Language Association (MLA)

Reyes-González, Arturo…[et al.]. Estimation of Crop Evapotranspiration Using Satellite Remote Sensing-Based Vegetation Index. Advances in Meteorology No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1118735

American Medical Association (AMA)

Reyes-González, Arturo& Kjaersgaard, Jeppe& Trooien, Todd& Hay, Christopher& Ahiablame, Laurent. Estimation of Crop Evapotranspiration Using Satellite Remote Sensing-Based Vegetation Index. Advances in Meteorology. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1118735

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1118735