Mr. Andreas M. Georgiou Profile

Andreas M. Georgiou

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Publications (5)

Proceedings Article | 27 June 2019 Paper

Accuracy of remote sensing-derived SST values compared with in-situ measurements in Eastern Mediterranean (Cyprus)

A. Georgiou, C. Jimenez, L. Hadjioannou

Proceedings Volume 11174, 111740F (2019) https://doi.org/10.1117/12.2533603

KEYWORDS: Stationary wavelet transform, Satellites, Climatology, Environmental sensing, Statistical analysis, Remote sensing, Earth observing sensors, Satellite imaging, Data modeling, Spatial resolution

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Sea surface temperature (SST) is an essential climate variable that plays a significant role in regulating climate and its variability; therefore, assessing the quality of satellite-derived information is important. Remote sensing can provide sea surface data in high spatial and temporal resolution and with large spatial coverage. This allows new discoveries and applications in oceanography and marine ecology and investigation of sensitive regions as the Mediterranean Sea. However, a validation of satellite data with in-situ seawater temperature (SWT) measurements is needed to capture environmental variability at small spatial scales and in near-shore environments, particularly in regions where SWT records are absent. The aim of this work is to compare remote-sensing SST values with in-situ SWT recorded with data loggers around the island of Cyprus (Eastern Mediterranean). More precisely, we aimed to evaluate the ability of Global 1-km Sea Surface Temperature (G1SST) dataset to detect overall variability and intra-seasonal variability of SWT. In-situ SWT data were collected from -4m and -25m depths at four locations over different time-periods (between 2013 and 2016). A daily, global blended Level 4 SST data set of ultra-high resolution (1km) derived from the Global High-Resolution SST Pilot Project (GHRSST-PP) was used for the validation. The satellite image database provided by NASA Physical Oceanography Distributed Active Archive Center (PODAAC) web servers was in network common data form (NetCDF) format. A comparison between daily mean SST and daily mean SWT for all sites and seasons pooled together yield a very high correlation and biases. The stronger correlations with almost a perfect data fit obtained from nearshore shallow sample locations, while the weaker correlations derived from deep-water areas. Moreover, satellite-derived data presents a tendency to over-estimate SWT variability in all seasons while strong correlations (r > 0.80) are presented in all sample locations on cold seasons. In the other hand, during the hot seasons, weaker correlations are presented mostly on deep- water locations. In overall statistics analysis and taking into account the high correlation coefficients, G1SST data proved to be a reliable proxy of SWT and mostly for studies requiring temperature reconstruction in areas where in-situ SWT observations are not available or a time series is required to identify seasonality in the record.

Proceedings Article | 6 September 2017 Paper

Comparison of MODIS-derived land surface temperature with air temperature measurements

Andreas Georgiou, Nuhcan Akçit

Proceedings Volume 10444, 104441R (2017) https://doi.org/10.1117/12.2279339

KEYWORDS: Temperature metrology, MODIS, Remote sensing, In situ metrology

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Proceedings Article | 12 August 2016 Paper

Investigation of Sea Surface Temperature (SST) anomalies over Cyprus area

Andreas Georgiou, Nuhcan Akçit

Proceedings Volume 9688, 96881U (2016) https://doi.org/10.1117/12.2241893

KEYWORDS: Geographic information systems, MODIS, Satellites, Visualization, Satellite imaging, Surface plasmons, Water, Sun, Systems modeling, Earth observing sensors

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Proceedings Article | 5 August 2013 Paper

An integrated method for wind power estimation: application for coastal areas in Cyprus

Ioannis Kastanas, Andreas Georgiou, Panagiotis Zavros, Stelios Pashiardes, Evangelos Akylas

Proceedings Volume 8795, 87950T (2013) https://doi.org/10.1117/12.2029095

KEYWORDS: Wind energy, Statistical analysis, Wind measurement, Meteorology, Visualization, Climatology, Surface roughness, Civil engineering, Geomatics, Wind turbine technology

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Proceedings Article | 5 August 2013 Paper

Investigation of Cyprus thermal tenancy using nine year MODIS LST data and Fourier analysis

D. Skarlatos, G. Miliaresis, A. Georgiou

Proceedings Volume 8795, 87951R (2013) https://doi.org/10.1117/12.2028326

KEYWORDS: Data modeling, MODIS, Satellites, Statistical analysis, Systems modeling, Error analysis, Autoregressive models, Control systems, Atmospheric physics, Physics

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