Παρακαλώ χρησιμοποιήστε αυτό το αναγνωριστικό για να παραπέμψετε ή να δημιουργήσετε σύνδεσμο προς αυτό το τεκμήριο: https://hdl.handle.net/20.500.14279/18896
Τίτλος: Linear and Nonlinear Deformation Effects in the Permanent GNSS Network of Cyprus
Συγγραφείς: Danezis, Chris 
Chatzinikos, Miltiadis 
Kotsakis, Christopher 
Major Field of Science: Engineering and Technology
Field Category: Civil Engineering
Λέξεις-κλειδιά: CORS;Cyprus;GNSS;Crustal deformation;Position timeseries;Seasonal variations;Station velocities
Ημερομηνία Έκδοσης: 2-Μαρ-2020
Πηγή: 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 
Περιοδικό: Sensors 
Περίληψη: 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://hdl.handle.net/20.500.14279/18896
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 
Publication Type: Peer Reviewed
Εμφανίζεται στις συλλογές:Publications under the auspices of the EXCELSIOR H2020 Teaming Project/ERATOSTHENES Centre of Excellence

Αρχεία σε αυτό το τεκμήριο:
Αρχείο Περιγραφή ΜέγεθοςΜορφότυπος
sensors-20-01768-v2.pdfFulltext5.83 MBAdobe PDFΔείτε/ Ανοίξτε
CORE Recommender
Sorry the service is unavailable at the moment. Please try again later.
Δείξε την πλήρη περιγραφή του τεκμηρίου

SCOPUSTM   
Citations

2
checked on 14 Μαρ 2024

WEB OF SCIENCETM
Citations

1
Last Week
0
Last month
0
checked on 29 Οκτ 2023

Page view(s) 50

317
Last Week
0
Last month
2
checked on 7 Ιαν 2025

Download(s)

164
checked on 7 Ιαν 2025

Google ScholarTM

Check

Altmetric


Αυτό το τεκμήριο προστατεύεται από άδεια Άδεια Creative Commons Creative Commons