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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מידע ביבליוגרפי

Principais autores:	Luis A. Reyes Rojas, Italo Moletto-Lobos, Fabio Corradini, Cristian Mattar, Rodrigo Fuster, Cristián Escobar-Avaria
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2021-10-01
סדרה:	Remote Sensing
נושאים:	evapotranspiration surface temperature semi-arid ecosystems remote sensing Landsat-8 Sentinel-2
גישה מקוונת:	https://www.mdpi.com/2072-4292/13/20/4105
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