The Relationship of Time Span and Missing Data on the Noise Model Estimation of GNSS Time Series

The Relationship of Time Span and Missing Data on the Noise Model Estimation of GNSS Time Series

Accurate noise model identification for GNSS time series is crucial for obtaining a reliable GNSS velocity field and its uncertainty for various studies in geodynamics and geodesy. Here, by comprehensively considering time span and missing data effect on the noise model of GNSS time series, we used...

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Bibliographic Details
Main Authors: Xiwen Sun, Tieding Lu, Shunqiang Hu, Jiahui Huang, Xiaoxing He, Jean-Philippe Montillet, Xiaping Ma, Zhengkai Huang
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Remote Sensing
Subjects:
GNSS time series
noise model
velocity fields
time span
missing data
Online Access:https://www.mdpi.com/2072-4292/15/14/3572

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