Content area

Abstract

In geodesy and geophysics, continuous GNSS observations have been used globally. As the number of GNSS observing stations increases, GNSS time series analysis software should be developed with more flexible format support, better man–machine interaction, and robust analysis characteristics. To meet this requirement, a new software package called TSAnalyzer was written in Python and was developed for preprocessing and analyzing continuous GNSS position time series individually, as well as with batch processing. This software can read GNSS position time series with different formats, pick epochs of offsets or seismic events interactively, remove outliers, and estimate linear, polynomial, and harmonic signals. It also provides Lomb–Scargle spectrum analysis. Since it is based on Python, it is cross-platform.

Details

Title
TSAnalyzer, a GNSS time series analysis software
Author
Wu, Dingcheng 1 ; Yan, Haoming 2 ; Shen, Yingchun 1 

 State Key Laboratory of Geodesy and Earth’s Dynamics, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan, China; University of Chinese Academy of Sciences, Beijing, China 
 State Key Laboratory of Geodesy and Earth’s Dynamics, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan, China 
Pages
1389-1394
Publication year
2017
Publication date
Jul 2017
Publisher
Springer Nature B.V.
ISSN
10805370
e-ISSN
15211886
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2259290087
Copyright
GPS Solutions is a copyright of Springer, (2017). All Rights Reserved.