Snow Depth Retrieval Using Detrended SNR From GNSS-R With Bidirectional GRU

Snow Depth Retrieval Using Detrended SNR From GNSS-R With Bidirectional GRU

Snow depth monitoring is crucial for hydrology, climate research, and avalanche prediction. While traditional global navigation satellite system (GNSS) reflectometer methods offer cost-effective snow thickness retrieval, they suffer from poor accuracy and robustness, especially in complex terrains a...

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Bibliographic Details
Main Authors: Wei Liu, Zihui Lin, Yuan Hu, Aodong Tian, Xintai Yuan, Jens Wickert
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Bidirectional gated recurrent units (Bi-GRU)
detrended signal-to-noise ratio (dSNR)
gated recurrent unit (GRU) neural network
global navigation satellite system reflectometry (GNSS-R)
snow depth
signal-to-noise ratio (SNR)
Online Access:https://ieeexplore.ieee.org/document/10697422/
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