Wavelet-like denoising of GNSS data through machine learning. Application to the time series of the Campi Flegrei volcanic area (Southern Italy)

Wavelet-like denoising of GNSS data through machine learning. Application to the time series of the Campi Flegrei volcanic area (Southern Italy)

AbstractThe great potential of the Global Navigation Satellite System (GNSS) in monitoring ground deformation is widely recognized. As with other geophysical data, GNSS time series can be significantly noisy, hiding elusive ground deformation signals. Several denoising techniques have been proposed...

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Bibliographic Details
Main Authors: Rolando Carbonari, Umberto Riccardi, Prospero De Martino, Gianpaolo Cecere, Rosa Di Maio
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Geomatics, Natural Hazards & Risk
Subjects:
GNSS time series
neural networks
machine learning
volcano monitoring
Campi Flegrei
Online Access:https://www.tandfonline.com/doi/10.1080/19475705.2023.2187271

Internet

https://www.tandfonline.com/doi/10.1080/19475705.2023.2187271

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