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

Journal
Sensors
Date Issued
March 2, 2020
Author(s)
Danezis, Chris  
Chatzinikos, Miltiadis  
Kotsakis, Christopher  
DOI
10.3390/s20061768
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.
Funding(s)
ERATOSTHENES: Excellence Research Centre for Earth Surveillance and Space-Based Monitoring of the Environment  
Subjects

CORS

Cyprus

GNSS

Crustal deformation

Position timeseries

Seasonal variations

Station velocities

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sensors-20-01768-v2.pdf

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edc6492ae57a6f246fa4d38b1bac0348

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