A Hybrid Triple Collocation-Deep Learning Approach for Improving Soil Moisture Estimation from Satellite and Model-Based Data

A Hybrid Triple Collocation-Deep Learning Approach for Improving Soil Moisture Estimation from Satellite and Model-Based Data

Satellite retrieval and land surface models have become the mainstream methods for monitoring soil moisture (SM) over large regions; however, the uncertainty and coarse spatial resolution of these products limit their applications at the regional and local scales. We proposed a hybrid approach combi...

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Bibliographic Details
Main Authors: Wenting Ming, Xuan Ji, Mingda Zhang, Yungang Li, Chang Liu, Yinfei Wang, Jiqiu Li
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Remote Sensing
Subjects:
soil moisture
merging
spatial downscaling
triple collocation
long short-term memory
Online Access:https://www.mdpi.com/2072-4292/14/7/1744

Internet

https://www.mdpi.com/2072-4292/14/7/1744

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