Python Software Tool for Diagnostics of the Global Navigation Satellite System Station (PS-NETM)–Reviewing the New Global Navigation Satellite System Time Series Analysis Tool

The time series of GNSS coordinates contain signals caused by the age-related movement of tectonic plates, the deformation of the Earth’s surface, as well as errors at different time scales from sub-daily tidal deformation to the long-term deformation of the surface load. Depending on the nature of...

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Veröffentlicht in:Remote sensing (Basel, Switzerland) Jg. 16; H. 5; S. 757
Hauptverfasser: Savchuk, Stepan, Dvulit, Petro, Kerker, Vladyslav, Michalski, Daniel, Michalska, Anna
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Basel MDPI AG 01.03.2024
Schlagworte:
Age
Artificial satellites in navigation
Calibration
Computer programs
computer software
deformation
diagnostic techniques
Earth surface
Error analysis
Europe
Global navigation satellite system
global positioning systems
GNSS time series
Information processing
Methods
non-classical error theory
Normal distribution
Normality
Orbits
Pearson–Jeffreys distribution
Plates (tectonics)
Python (programming language)
Satellites
Science
Software
Software packages
spatio-temporal filtering
Statistical analysis
Systematic errors
Technology application
tectonics
Time series
time series analysis
Poland
Europe
ISSN:2072-4292, 2072-4292
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Abstract The time series of GNSS coordinates contain signals caused by the age-related movement of tectonic plates, the deformation of the Earth’s surface, as well as errors at different time scales from sub-daily tidal deformation to the long-term deformation of the surface load. Depending on the nature of the signal, specific approaches are used for both the visual interpretation and pre-processing of time series and their statistical analysis. However, none of the present software analyzes the nature of the residual errors but assumes their random nature and obedience to the classical normal distribution. One of the methods for analyzing the time series of coordinates with residual, unaccounted-for systematic errors is the non-classical error theory of measurements. The result of this work is a developed software solution for analyzing the time series of GNSS coordinates to test their normality, or in other words, to test whether a particular GNSS station is subject to the influence of small, unaccounted-for errors. Conclusions: After testing our software on four reference stations in Europe, we concluded that none of the chosen stations followed the normal law of distribution; thus, it is vital to perform such tests before conducting any experiments on the time series from reference stations.
AbstractList The time series of GNSS coordinates contain signals caused by the age-related movement of tectonic plates, the deformation of the Earth’s surface, as well as errors at different time scales from sub-daily tidal deformation to the long-term deformation of the surface load. Depending on the nature of the signal, specific approaches are used for both the visual interpretation and pre-processing of time series and their statistical analysis. However, none of the present software analyzes the nature of the residual errors but assumes their random nature and obedience to the classical normal distribution. One of the methods for analyzing the time series of coordinates with residual, unaccounted-for systematic errors is the non-classical error theory of measurements. The result of this work is a developed software solution for analyzing the time series of GNSS coordinates to test their normality, or in other words, to test whether a particular GNSS station is subject to the influence of small, unaccounted-for errors. Conclusions: After testing our software on four reference stations in Europe, we concluded that none of the chosen stations followed the normal law of distribution; thus, it is vital to perform such tests before conducting any experiments on the time series from reference stations.
Audience Academic
Author Savchuk, Stepan
Michalska, Anna
Dvulit, Petro
Kerker, Vladyslav
Michalski, Daniel
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  givenname: Anna
  surname: Michalska
  fullname: Michalska, Anna
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10.1029/2009JB006543
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10.1007/s10291-014-0386-4
10.1007/978-3-030-21718-1
10.1029/2005JB003806
10.1007/s10291-017-0637-2
10.1007/s10291-019-0846-y
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StartPage 757
SubjectTerms Age
Artificial satellites in navigation
Calibration
Computer programs
computer software
deformation
diagnostic techniques
Earth surface
Error analysis
Europe
Global navigation satellite system
global positioning systems
GNSS time series
Information processing
Methods
non-classical error theory
Normal distribution
Normality
Orbits
Pearson–Jeffreys distribution
Plates (tectonics)
Python (programming language)
Satellites
Science
Software
Software packages
spatio-temporal filtering
Statistical analysis
Systematic errors
Technology application
tectonics
Time series
time series analysis
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Title Python Software Tool for Diagnostics of the Global Navigation Satellite System Station (PS-NETM)–Reviewing the New Global Navigation Satellite System Time Series Analysis Tool
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