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...
| Published in: | Remote Sensing |
|---|---|
| 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
|
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/13/20/4105 |
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