Determining Actual Evapotranspiration Based on Machine Learning and Sinusoidal Approaches Applied to Thermal High-Resolution Remote Sensing Imagery in a Semi-Arid Ecosystem

Determining Actual Evapotranspiration Based on Machine Learning and Sinusoidal Approaches Applied to Thermal High-Resolution Remote Sensing Imagery in a Semi-Arid Ecosystem

Evapotranspiration (ET) is key to assess crop water balance and optimize water-use efficiency. To attain sustainability in cropping systems, especially in semi-arid ecosystems, it is necessary to improve methodologies of ET estimation. A method to predict ET is by using land surface temperature (LST...

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Bibliographic Details
Main Authors: Luis A. Reyes Rojas, Italo Moletto-Lobos, Fabio Corradini, Cristian Mattar, Rodrigo Fuster, Cristián Escobar-Avaria
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Remote Sensing
Subjects:
evapotranspiration
surface temperature
semi-arid ecosystems
remote sensing
Landsat-8
Sentinel-2
Online Access:https://www.mdpi.com/2072-4292/13/20/4105

Internet

https://www.mdpi.com/2072-4292/13/20/4105

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