Reyes Rojas, L.A.; Moletto-Lobos, I.; Corradini, F.; Mattar, C.; Fuster, R.; Escobar-Avaria, C.
Determining Actual Evapotranspiration Based on Machine Learning and Sinusoidal Approaches Applied to Thermal High-Resolution Remote Sensing Imagery in a Semi-Arid Ecosystem. Remote Sens. 2021, 13, 4105.
https://doi.org/10.3390/rs13204105
AMA Style
Reyes Rojas LA, Moletto-Lobos I, Corradini F, Mattar C, Fuster R, Escobar-Avaria C.
Determining Actual Evapotranspiration Based on Machine Learning and Sinusoidal Approaches Applied to Thermal High-Resolution Remote Sensing Imagery in a Semi-Arid Ecosystem. Remote Sensing. 2021; 13(20):4105.
https://doi.org/10.3390/rs13204105
Chicago/Turabian Style
Reyes Rojas, Luis A., Italo Moletto-Lobos, Fabio Corradini, Cristian Mattar, Rodrigo Fuster, and Cristián Escobar-Avaria.
2021. "Determining Actual Evapotranspiration Based on Machine Learning and Sinusoidal Approaches Applied to Thermal High-Resolution Remote Sensing Imagery in a Semi-Arid Ecosystem" Remote Sensing 13, no. 20: 4105.
https://doi.org/10.3390/rs13204105
APA Style
Reyes Rojas, L. A., Moletto-Lobos, I., Corradini, F., Mattar, C., Fuster, R., & Escobar-Avaria, C.
(2021). Determining Actual Evapotranspiration Based on Machine Learning and Sinusoidal Approaches Applied to Thermal High-Resolution Remote Sensing Imagery in a Semi-Arid Ecosystem. Remote Sensing, 13(20), 4105.
https://doi.org/10.3390/rs13204105