Downscaling SMAP Radiometer Soil Moisture Over the CONUS Using an Ensemble Learning Method
Author:
Affiliation:
1. Center for Complex Hydrosystems Research, Department of Civil, Construction and Environmental Engineering University of Alabama Tuscaloosa AL USA
2. NOAA‐NESDIS‐STAR College Park MD USA
Funder
National Oceanic and Atmospheric Administration
Publisher
American Geophysical Union (AGU)
Subject
Water Science and Technology
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1029/2018WR023354
Reference87 articles.
1. Global Downscaling of Remotely-Sensed Soil Moisture using Neural Networks
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3. Evaluation of an empirical orthogonal function-based method to downscale soil moisture patterns based on topographical attributes
4. Downscaling Satellite-Based Soil Moisture in Heterogeneous Regions Using High-Resolution Remote Sensing Products and Information Theory: A Synthetic Study
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