A Comparative Analysis of Remote Sensing Soil Moisture Datasets Fusion Methods: Novel LSTM Approach Versus Widely Used Triple Collocation Technique

A Comparative Analysis of Remote Sensing Soil Moisture Datasets Fusion Methods: Novel LSTM Approach Versus Widely Used Triple Collocation Technique

Microwave remote sensing technology has emerged to provide valuable products to monitor and assess soil moisture content at regional or global scales. However, each soil moisture product exhibits different advantages and shortcomings. Data fusion could help improve accuracy by merging information fr...

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Hlavní autoři: Haojin Zhao, Carsten Montzka, Harry Vereecken, Harrie-Jan Hendricks Franssen
Médium: Článek
Jazyk:English
Vydáno: IEEE 2024-01-01
Edice:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Témata:
Data fusion
long short term memory model
remote sensing
satellites
soil moisture
triple collocation
On-line přístup:https://ieeexplore.ieee.org/document/10669050/

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https://ieeexplore.ieee.org/document/10669050/

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