Mrs Maria PRODROMOU

Mrs Maria PRODROMOU

ERATOSTHENES Research Centre (ERC)
Department of Civil Engineer and Geomatics (CEG)
Faculty of Engineering and Technology (FET)
Cyprus University of Technology (CUT)

Mrs Maria PRODROMOU

Researcher C

Education: Mrs Maria Prodromou is currently a PhD candidate in exploitation of remote sensing techniques in wildfires at the Cyprus University of Technology (CUT). She received her BSc in Surveying Engineering and Geomatics and she continued her studies in the field of “Geoinformatics and Geospatial Technologies” both from the Department of Civil Engineering and Geomatics, from the CUT. During her BSc, she studied the detection of underground structures using field spectroscopy for defence and security. During her MSc her dissertation was based on Characterize aerosol optical properties observed over Limassol, Cyprus using LiDAR system.

Professional background / participation in funded projects: In the summer of 2016 she took a practical training session at Marathon Data Systems in Athens where she attended a series of seminars for ArcGIS software. She also worked in the Department of Lands and Survey at Larnaca, Cyprus as a land surveyor for 8 months. Furthermore, she has participated in SEO-DWARF project (Semantic EO Data Web Alert and Retrieval Framework-H2020-MSCA-RISE). Within the framework of the SEO-DWARF project, she works in calibration and validation of the remote sensing algorithms. Also, she has participated in various activities such as giving presentations in Primary and High Schools in order to promote space technology including the Copernicus Space program and Sentinel Mission. Currently, she participates in THAL-CHOR 2 (Cross border Cooperation for Implementation of Marine Spatial Planning), SOFIA (Schools encouragement in educatiOn and outreach of Earth surveIllance And remote sensing), CROSS (Monitoring &Identification of arable Crops in Cyprus from space) and EXCELSIOR (Eratosthenes Research Centre for Earth Surveillance and Space-Based Monitoring of the Environment) research programs. She is also a teaching assistant at the course “Remote Sensing I”.

Research interests: In November 2017 she was employed by the CUT at the position of research assistant. Her research focuses on: Satellite Remote Sensing, Spectroradiometers, GIS, Geoinformatics for environmental applications, forest fire risk assessment, marine applications.

Selected publications:

  1. Papoutsa, C., Theocharidis, C., Prodromou, M., Papadavid, G., Sykas, D., Michailides, S., Christoforou, M., Kountios, G., Kounoudes, A., Milis, M. and Hadjimitsis, D. G.: Smart water management for irrigation purposes: The SWSOIP Pproject, CEUR Workshop Proc., 2761, 215–226, 2020.
  2. Kyriacos Themistocleous, Maria Prodomou, Christodoulos Mettas, Evagoras Evagorou, and Diofantos Hadjimitsis “Ship detection in Cyprus EEZ using Sentinel 1 data”, Proc. SPIE 11524, Eighth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2020), 115240L (26 August 2020); https://doi.org/10.1117/12.2571308
  3. Miltiadou, , Prodromou, M., Agapiou, A., & Hadjimitsis, D. G. (2020, May). Structural features extracted from voxelised full-waveform LiDAR using the open source software DASOS for detecting dead standing trees. In EGU General Assembly Conference Abstracts (p. 10915).
  4. Prodromou, M., Yfantidou, A., Theocharidis, C., Miltiadou, M., & Danezis, C. (2020, May). Analysis of radar and thermal satellite data time-series for understanding the long-term impact of land surface temperature changes on forests. In EGU General Assembly Conference Abstracts (p. 10582).
  5. George Melillos, Kyriacos Themistocleous, George Papadavid, Athos Agapiou, Demetris Kouhartsiouk, Maria Prodromou, Silas Michaelides, and Diofantos G. Hadjimitsis “Using field spectroscopy combined with synthetic aperture radar (SAR) technique for detecting underground structures for defense and security applications in Cyprus”, Proc. SPIE 10182, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXII, 1018206 (3 May 2017); https://doi.org/10.1117/12.2262279
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