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Open AccessArticle

Linear and Nonlinear Deformation Effects in the Permanent GNSS Network of Cyprus

1
Department of Civil Engineering and Geomatics, Cyprus University of Technology, Limassol 3036, Cyprus
2
ERATOSTHENES Centre of Excellence, Limassol 3036, Cyprus
3
Department of Geodesy and Surveying, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(6), 1768; https://doi.org/10.3390/s20061768
Received: 15 February 2020 / Revised: 19 March 2020 / Accepted: 20 March 2020 / Published: 22 March 2020
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. View Full-Text
Keywords: GNSS; CORS; crustal deformation; seasonal variations; station velocities; position timeseries; Cyprus GNSS; CORS; crustal deformation; seasonal variations; station velocities; position timeseries; Cyprus
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Danezis, C.; Chatzinikos, M.; Kotsakis, C. Linear and Nonlinear Deformation Effects in the Permanent GNSS Network of Cyprus. Sensors 2020, 20, 1768.

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