Enhancing Spatiotemporal Resolution of MCCA SMAP Soil Moisture Products over China: A Comparative Study of Machine Learning-Based Downscaling Approaches

As a key parameter of the Earth’s ecosystem, soil moisture significantly influences land-atmosphere interactions and has important applications in meteorology, hydrology, and agricultural studies. However, existing passive microwave remote sensing products of soil moisture are limited by their disco...

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Principais autores:	Zhuoer Ma, Peng Chen, Hao Chen, Hang Liu, Yuchen Zhang, Binyi Huang, Yang Hong, Shizheng Sun
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2026-02-01
Series:	Sensors
Assuntos:	soil moisture downscaling MCCA SMAP machine learning China
Acceso en liña:	https://www.mdpi.com/1424-8220/26/4/1383
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