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Linear and Nonlinear Deformation Effects in the Permanent GNSS Network of Cyprus
Permanent Global Navigation Satellite Systems (GNSS) reference stations are well established as a powerful tool for the estimation of deformation induced by man-made or physical processes. GNSS sensors are successfully used to determine positions and velocities over a specified time period, with unp...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146398/ https://www.ncbi.nlm.nih.gov/pubmed/32235810 http://dx.doi.org/10.3390/s20061768 |
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author | Danezis, Chris Chatzinikos, Miltiadis Kotsakis, Christopher |
author_facet | Danezis, Chris Chatzinikos, Miltiadis Kotsakis, Christopher |
author_sort | Danezis, Chris |
collection | PubMed |
description | Permanent Global Navigation Satellite Systems (GNSS) reference stations are well established as a powerful tool for the estimation of deformation induced by man-made or physical processes. GNSS sensors are successfully used to determine positions and velocities over a specified time period, with unprecedented accuracy, promoting research in many safety-critical areas, such as geophysics and geo-tectonics, tackling problems that torment traditional equipment and providing deformation products with absolute accuracy. Cyprus, being located at the Mediterranean fault, exhibits a very interesting geodynamic regime, which has yet to be investigated thoroughly. Accordingly, this research revolves around the estimation of crustal deformation in Cyprus using GNSS receivers. CYPOS (CYprus POsitioning System), a network of seven permanent GNSS stations has been operating since 2008, under the responsibility of the Department of Lands and Surveys. The continuous flow of positioning data collected over this network, offers the required information to investigate the behavior of the crustal deformation field of Cyprus using GNSS sensors for the first time. This paper presents the results of a multi-year analysis (11/2011–01/2017) of daily GNSS data and provides inferences of linear and nonlinear deforming signals into the position time series of the network stations. Specifically, 3D station velocities and seasonal periodic displacements are jointly estimated and presented via a data stacking approach with respect to the IGb08 reference frame. |
format | Online Article Text |
id | pubmed-7146398 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-71463982020-04-15 Linear and Nonlinear Deformation Effects in the Permanent GNSS Network of Cyprus Danezis, Chris Chatzinikos, Miltiadis Kotsakis, Christopher Sensors (Basel) Article Permanent Global Navigation Satellite Systems (GNSS) reference stations are well established as a powerful tool for the estimation of deformation induced by man-made or physical processes. GNSS sensors are successfully used to determine positions and velocities over a specified time period, with unprecedented accuracy, promoting research in many safety-critical areas, such as geophysics and geo-tectonics, tackling problems that torment traditional equipment and providing deformation products with absolute accuracy. Cyprus, being located at the Mediterranean fault, exhibits a very interesting geodynamic regime, which has yet to be investigated thoroughly. Accordingly, this research revolves around the estimation of crustal deformation in Cyprus using GNSS receivers. CYPOS (CYprus POsitioning System), a network of seven permanent GNSS stations has been operating since 2008, under the responsibility of the Department of Lands and Surveys. The continuous flow of positioning data collected over this network, offers the required information to investigate the behavior of the crustal deformation field of Cyprus using GNSS sensors for the first time. This paper presents the results of a multi-year analysis (11/2011–01/2017) of daily GNSS data and provides inferences of linear and nonlinear deforming signals into the position time series of the network stations. Specifically, 3D station velocities and seasonal periodic displacements are jointly estimated and presented via a data stacking approach with respect to the IGb08 reference frame. MDPI 2020-03-22 /pmc/articles/PMC7146398/ /pubmed/32235810 http://dx.doi.org/10.3390/s20061768 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Danezis, Chris Chatzinikos, Miltiadis Kotsakis, Christopher Linear and Nonlinear Deformation Effects in the Permanent GNSS Network of Cyprus |
title | Linear and Nonlinear Deformation Effects in the Permanent GNSS Network of Cyprus |
title_full | Linear and Nonlinear Deformation Effects in the Permanent GNSS Network of Cyprus |
title_fullStr | Linear and Nonlinear Deformation Effects in the Permanent GNSS Network of Cyprus |
title_full_unstemmed | Linear and Nonlinear Deformation Effects in the Permanent GNSS Network of Cyprus |
title_short | Linear and Nonlinear Deformation Effects in the Permanent GNSS Network of Cyprus |
title_sort | linear and nonlinear deformation effects in the permanent gnss network of cyprus |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146398/ https://www.ncbi.nlm.nih.gov/pubmed/32235810 http://dx.doi.org/10.3390/s20061768 |
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