Downscaling Satellite Retrieved Soil Moisture Using Regression Tree‐Based Machine Learning Algorithms Over Southwest France

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...

Full description

Bibliographic Details
Main Authors: Yangxiaoyue Liu, Xiaolin Xia, Ling Yao, Wenlong Jing, Chenghu Zhou, Wumeng Huang, Yong Li, Ji Yang
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2020-10-01
Series:Earth and Space Science
Subjects:
satellite‐based soil moisture
downscale
machine learning
regression tree‐driven algorithms
Online Access:https://doi.org/10.1029/2020EA001267

Internet

https://doi.org/10.1029/2020EA001267

Similar Items