Dimitrios Ampatzidis

Dr. Dimitrios Ampatzidis

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Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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Antonios MouratidisAntonios Mouratidis
Antonios Mouratidis
DADimitrios Ampatzidis
Dimitrios Ampatzidis
Digital elevation models (DEMs) are a widely used form of topographic information, with some of the most popular being the Shuttle Radar Topography Mission (SRTM) DEM and the Advanced Spaceborne Thermal Emission and Reflection Radiometer Global Digital Elevation Model (ASTER GDEM). These two sources of topographical information are the main constituents of the European Union Digital Elevation Model (EU-DEM), which is a relatively new dataset of the EU’s Copernicus Land Monitoring Service. In this context, the purpose of this study was to validate EU-DEM for its vertical accuracy and to compare it with SRTM DEM and ASTER GDEM data. This was achieved in a Geographic Information System (GIS) environment, using extensive—in the order of tens of thousands of points—geodetic Global Navigation Satellite System (GNSS) measurements and appropriate pre-processing steps. The absolute elevation errors results had a Root Mean Square Error (RMSE) of 2.7 m at a 90% confidence level and characterize the performance of EU-DEM from local to regional scale, generally confirming that it is an enhanced source of elevation information when compared with its predecessors.


28 March 2021 in Acta Geophysica
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MFMichael Foumelis
Michael Foumelis
CPCostas Papazachos
Costas Papazachos
Eleftheria PapadimitriouEleftheria Papadimitriou
Eleftheria Papadimitriou
Vasileios KarakostasVasileios Karakostas
Vasileios Karakostas
DADimitrios Ampatzidis
Dimitrios Ampatzidis
ACAlexandros Chatzipetros
Alexandros Chatzipetros

1 October 2014 in Colloids and Surfaces A: Physicochemical and Engineering Aspects
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Journal Article
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DADimitrios Ampatzidis
Dimitrios Ampatzidis
EVE.-M.A. Varka
E.-M.A. Varka
Thodoris KarapantsiosThodoris Karapantsios
Thodoris Karapantsios

28 April 2017 in Marine Geodesy
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SBStylianos Bitharis
Stylianos Bitharis
DADimitrios Ampatzidis
Dimitrios Ampatzidis
Christos PikridasChristos Pikridas
Christos Pikridas
AFAristeidis Fotiou
Aristeidis Fotiou
DRDimitrios Rossikopoulos
Dimitrios Rossikopoulos
HSHarald Schuh
Harald Schuh
In this study, we show how the Global Navigation Satellite System (GNSS)-derived vertical velocities contribute to the correction of tide gauge (TG) measurements used for the sea level rise estimation in Greece. Twelve sites with records of local sea level heights are processed in order to estimate their trend. Certain error sources related to TGs, e.g. equipment changes, data noise, may lead to biased or erroneous estimations of the sea level height. Therefore, it would be preferred to follow a robust estimation technique in order to detect and reduce outlier effects. The geocentric sea level rise is estimated by taking into account the land vertical motion of co-located GNSS permanent stations at the Hellenic area. TGs measure the height of the water relative to a monitored geodetic benchmark on land. On the other hand, using GNSS-based methods the vertical land motion can be derived. By means of extended models fitted to the GNSS time-series position, obtained from seven years of continuous data analysis, periodic signals are well described. The synergy of the two co-located techniques results in the correction of TG relative sea level heights taking into account the GNSS vertical velocities and consequently obtaining the conversion to absolute (geocentric) sea level trend.

8 April 2017 in Journal of Geodesy
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SGSusanne Glaser
Susanne Glaser
RKRolf König
Rolf König
DADimitrios Ampatzidis
Dimitrios Ampatzidis
TNTobias Nilsson
Tobias Nilsson
RHRobert Heinkelmann
Robert Heinkelmann
HSHarald Schuh
Harald Schuh