A Novel Framework Based on Data Fusion and Machine Learning for Upscaling Evapotranspiration from Flux Towers to the Regional Scale

Accurate quantification of regional ET is essential for agricultural water management. Upscaling methods based on flux tower observations have been widely applied in large-scale ET estimation. However, the coarse spatial resolution of existing upscaling approaches limits their utility in field-scale...

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Principais autores:	Pengyuan Zhu, Qisheng Han, Shenglin Li, Hao Liu, Caixia Li, Yanchuan Ma, Jinglei Wang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-11-01
coleção:	Remote Sensing
Assuntos:	evapotranspiration upscaling data fusion remote sensing one-dimensional convolutional neural network interpretability
Acesso em linha:	https://www.mdpi.com/2072-4292/17/23/3813
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