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Remote Sensing Data Fusion to Evaluate Patterns of Regional Evapotranspiration: A Case Study for Dynamics of Film-Mulched Drip-Irrigated Cotton in China’s Manas River Basin over 20 Years

The accurate quantification of evapotranspiration (<i>ET</i>) is critical to the sustainable management of irrigated agriculture. In this study, we proposed a remote sensing data fusion method for predicting <i>ET</i>, coupling a surface energy balance system model with an enhanced spatial and tempo...

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Gardado en:
Principais autores: Xuejin Qiao, Guang Yang, Jianchu Shi, Qiang Zuo, Lining Liu, Mu Niu, Xun Wu, Alon Ben-Gal
Formato: Artigo
Idioma:Inglês
Publicado: MDPI AG 2022-07-01
Series:Remote Sensing
Assuntos:
<i>ET</i> (evapotranspiration)
energy balance
machine learning
Landsat
MODIS
Acceso en liña:https://www.mdpi.com/2072-4292/14/14/3438
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