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

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...

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Main Authors: Kamil Kowalczyk, Jacek Rapinski
Format: Article
Language:English
Published: MDPI AG 2018-04-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Online Access:http://www.mdpi.com/2220-9964/7/4/149
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author Kamil Kowalczyk
Jacek Rapinski
author_facet Kamil Kowalczyk
Jacek Rapinski
author_sort Kamil Kowalczyk
collection DOAJ
description 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.
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spelling doaj.art-a77af7db0d6e4cd19d24bcc1b31a81522022-12-22T03:23:06ZengMDPI AGISPRS International Journal of Geo-Information2220-99642018-04-017414910.3390/ijgi7040149ijgi7040149Verification of a GNSS Time Series Discontinuity Detection Approach in Support of the Estimation of Vertical Crustal MovementsKamil Kowalczyk0Jacek Rapinski1Institute of Geoinformation and Cartography, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, PolandInstitute of Geodesy, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, PolandVertical 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.http://www.mdpi.com/2220-9964/7/4/149jumps in time seriesswitching edge detectionvertical crustal movementsdiscontinuities in time series
spellingShingle Kamil Kowalczyk
Jacek Rapinski
Verification of a GNSS Time Series Discontinuity Detection Approach in Support of the Estimation of Vertical Crustal Movements
ISPRS International Journal of Geo-Information
jumps in time series
switching edge detection
vertical crustal movements
discontinuities in time series
title Verification of a GNSS Time Series Discontinuity Detection Approach in Support of the Estimation of Vertical Crustal Movements
title_full Verification of a GNSS Time Series Discontinuity Detection Approach in Support of the Estimation of Vertical Crustal Movements
title_fullStr Verification of a GNSS Time Series Discontinuity Detection Approach in Support of the Estimation of Vertical Crustal Movements
title_full_unstemmed Verification of a GNSS Time Series Discontinuity Detection Approach in Support of the Estimation of Vertical Crustal Movements
title_short Verification of a GNSS Time Series Discontinuity Detection Approach in Support of the Estimation of Vertical Crustal Movements
title_sort verification of a gnss time series discontinuity detection approach in support of the estimation of vertical crustal movements
topic jumps in time series
switching edge detection
vertical crustal movements
discontinuities in time series
url http://www.mdpi.com/2220-9964/7/4/149
work_keys_str_mv AT kamilkowalczyk verificationofagnsstimeseriesdiscontinuitydetectionapproachinsupportoftheestimationofverticalcrustalmovements
AT jacekrapinski verificationofagnsstimeseriesdiscontinuitydetectionapproachinsupportoftheestimationofverticalcrustalmovements