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ISPRS Int. J. Geo-Inf. 2018, 7(4), 149; doi:10.3390/ijgi7040149

Verification of a GNSS Time Series Discontinuity Detection Approach in Support of the Estimation of Vertical Crustal Movements

1
Institute of Geoinformation and Cartography, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland
2
Institute of Geodesy, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Received: 8 February 2018 / Revised: 8 April 2018 / Accepted: 9 April 2018 / Published: 13 April 2018
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Abstract

Vertical crustal movements can be calculated on the basis of Global Navigation Satellite Systems (GNSS) permanent stations positioning results (the absolute motion) as well as on vectors between the stations (the relative motion). The time series, which are created in both cases, include, apart from the information about height, measurement noise, and they are burdened with the influence of factors that are sometimes difficult to identify. These factors make momentary or long-term changes in height. The times of sudden changes in height (jumps) can be difficult to identify and estimate. In order to calculate the velocity of vertical movements, each of the jumps should be identified. It means that both the epoch of each jump and its value must be estimated. The authors of this article developed an algorithm that supports the process of creating the models of vertical crustal movements from GNSS data. The algorithm determines the epoch of a jump and estimates the velocity of vertical movements. The aim of the article is to verify the algorithm on the basis of height changes in adjacent stations of polish national CORS network ASG-EUPOS and to set proper algorithm parameters. The results received on the basis of the algorithm were evaluated and verified using four possible methods: visual evaluation, testing the algorithm using adjacent input parameter values, information in .log files and analysis of the loop misclosure. The results indicate that the algorithm functions properly and is useful in the creation of vertical crustal movement models from GNSS data. View Full-Text
Keywords: jumps in time series; switching edge detection; vertical crustal movements; discontinuities in time series jumps in time series; switching edge detection; vertical crustal movements; discontinuities in time series
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Kowalczyk, K.; Rapinski, J. Verification of a GNSS Time Series Discontinuity Detection Approach in Support of the Estimation of Vertical Crustal Movements. ISPRS Int. J. Geo-Inf. 2018, 7, 149.

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