Downscaling Satellite Retrieved Soil Moisture Using Regression Tree‐Based Machine Learning Algorithms Over Southwest France
Abstract Satellite retrieved soil moisture (SM) shows great potential in hydrological, meteorological, ecological, and agricultural applications, while the coarse resolution limits its utilization in regional scale. The regression tree‐based machine learning algorithms reveal promising capability in...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
American Geophysical Union (AGU)
2020-10-01
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Series: | Earth and Space Science |
Subjects: | |
Online Access: | https://doi.org/10.1029/2020EA001267 |