Downscaling of Remote Sensing Soil Moisture Products That Integrate Microwave and Optical Data

Downscaling of Remote Sensing Soil Moisture Products That Integrate Microwave and Optical Data

Soil moisture is a key variable that affects ecosystem carbon and water cycles and that can directly affect climate change. Remote sensing is the best way to obtain global soil moisture data. Currently, soil moisture remote sensing products have coarse spatial resolution, which limits their applicat...

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Bibliographic Details
Main Authors:	Jie Wang, Huazhu Xue, Guotao Dong, Qian Yuan, Ruirui Zhang, Runsheng Jing
Format:	Article
Language:	English
Published:	MDPI AG 2024-12-01
Series:	Applied Sciences
Subjects:	backscatter coefficient data integration google earth engine machine learning
Online Access:	https://www.mdpi.com/2076-3417/14/24/11875
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