Comparison of Data Fusion Methods in Fusing Satellite Products and Model Simulations for Estimating Soil Moisture on Semi-Arid Grasslands

Comparison of Data Fusion Methods in Fusing Satellite Products and Model Simulations for Estimating Soil Moisture on Semi-Arid Grasslands

In arid and semi-arid areas, soil moisture (SM) plays a crucial role in land-atmosphere interactions, hydrological processes, and ecosystem sustainability. SM data at large scales are critical for related climatic, hydrological, and ecohydrological research. Data fusion based on satellite products a...

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Bibliographic Details
Main Authors: Yi Zhu, Lanhui Zhang, Feng Li, Jiaxin Xu, Chansheng He
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Remote Sensing
Subjects:
soil moisture
data fusion
Back-Propagation Artificial Neural Network (BPANN)
Ensemble Kalman Filter (EnKF)
semi-arid grasslands
Soil Moisture Active and Passive (SMAP)
Online Access:https://www.mdpi.com/2072-4292/15/15/3789

Internet

https://www.mdpi.com/2072-4292/15/15/3789

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