Spatial Downscaling of Satellite-Based Soil Moisture Products Using Machine Learning Techniques: A Review

Soil moisture (SM) is a key variable driving hydrologic, climatic, and ecological processes. Although it is highly variable, both spatially and temporally, there is limited data availability to inform about SM conditions at adequate spatial and temporal scales over large regions. Satellite SM retrie...

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Detalhes bibliográficos

Principais autores:	Indishe P. Senanayake, Kalani R. L. Pathira Arachchilage, In-Young Yeo, Mehdi Khaki, Shin-Chan Han, Peter G. Dahlhaus
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-06-01
Colecção:	Remote Sensing
Assuntos:	downscaling machine learning microwave remote sensing soil moisture spatial resolution
Acesso em linha:	https://www.mdpi.com/2072-4292/16/12/2067
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