2016
DOI: 10.1007/1345_2016_230
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A New Velocity Field of Greece Based on Seven Years (2008–2014) Continuously Operating GPS Station Data

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Cited by 16 publications
(11 citation statements)
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“…A geodetic analysis was performed, based on the implementation of the kinematic information provided by the GPS data processing (Bitharis, 2015;Bitharis et al, 2016). In particular, the geodetic velocities are recorded by a dense network of 27 permanent GPS stations, while they are applied in order to determine the crustal deformation of Thessaly region.…”
Section: Crustal Deformationmentioning
confidence: 99%
“…A geodetic analysis was performed, based on the implementation of the kinematic information provided by the GPS data processing (Bitharis, 2015;Bitharis et al, 2016). In particular, the geodetic velocities are recorded by a dense network of 27 permanent GPS stations, while they are applied in order to determine the crustal deformation of Thessaly region.…”
Section: Crustal Deformationmentioning
confidence: 99%
“…A strong EQ have an effect on the time series analysis causing some discontinuities as offsets, which may lead to an unrealistic estimation of geodetic velocities (Bitharis et al, 2015). More generally (Tregoning et al, 2013) showed that large EQs can induce linear velocity errors of up to 0.4 mm/yr at sites over 1000 km from the earthquake locations.…”
Section: Time Series Daily Displacementsmentioning
confidence: 99%
“…The GPS/GNSS dataset, analyzed in previous studies (Bitharis, 2015;Bitharis et al, 2016), is exclusively based on a permanent GPS/GNSS network. Within the Corinth Gulf region, the permanent network includes 14 GPS/GNSS stations (Fig.…”
Section: Gps/gnss Data and Processingmentioning
confidence: 99%
“…The set of geodetic velocities is derived from a 7-year (2008-2014) daily GPS/GNSS data processing, using 155 permanent stations, distributed in the broader Greek territory and 30 IGS-EPN GPS/GNSS stations (Bitharis et al, 2016). In most sites the data span exceeds a 4-year period, while the velocities determination standard deviation in the Fig.…”
Section: Gps/gnss Data and Processingmentioning
confidence: 99%