Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/18896
Title: Linear and Nonlinear Deformation Effects in the Permanent GNSS Network of Cyprus
Authors: Danezis, Chris 
Chatzinikos, Miltiadis 
Kotsakis, Christopher 
Major Field of Science: Engineering and Technology
Field Category: Civil Engineering
Keywords: CORS;Cyprus;GNSS;Crustal deformation;Position timeseries;Seasonal variations;Station velocities
Issue Date: 2-Mar-2020
Source: Sensors, 2020, vol. 20, no. 6, articl. no. 1768
Volume: 20
Issue: 6
Project: ERATOSTHENES: Excellence Research Centre for Earth Surveillance and Space-Based Monitoring of the Environment 
Journal: Sensors 
Abstract: 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.
Description: The authors would like to acknowledge the “CUT Open Access Author Fund” for covering the open access publication fees of the paper.
URI: https://ktisis.cut.ac.cy/handle/10488/18896
ISSN: 1424-8220
DOI: 10.3390/s20061768
Rights: © 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
Type: Article
Affiliation : Cyprus University of Technology 
ERATOSTHENES Centre of Excellence 
Aristotle University of Thessaloniki 
Appears in Collections:Publications under the auspices of the EXCELSIOR H2020 Teaming Project/ERATOSTHENES Centre of Excellence

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