Research Publications

  • 2019

    Conference Paper R.T., Chadoulis; A.F., Bais. Determination of uncertainty in hourly and daily averages of solar irradiance due to missing measurements. AIP Conference Proceedings. https://doi.org/10.1063/1.5091276.

  • 2022

    Conference Paper R.T., Chadoulis; A.Nikolaou; C. Kotropoulos. Authorship Attribution using Word Adjacency Networks. SETN 2022. https://doi.org/10.1145/3549737.3549750.

  • 2022

    Conference Paper R.T., Chadoulis; E. Ruggeri; A. Miliou. Optimizing the Array Factor of a Phased Array Antenna (PAA) using a genetic algorithm. The Fifteen International Workshop on Selected Topics in Wireless and Mobile computing (STWiMob 2022). https://doi.org/10.1109/WiMob55322.2022.9941693.

  • 2023

    Conference Paper R.T. Chadoulis; Marek Ruciński; Eleftherios Katsikis; Piotr Archicinski; Szymon Sala; Ewa Gromny; Edyta Wozniak; Ioannis Manakos; Andrzej Affek. Phenological metrics derived from Sentinel-2 data for Solidago gigantea mapping. International Geoscience and Remote Sensing Symposium 2023. https://doi.org/10.1109/IGARSS52108.2023.10282732.

  • 2022

    Journal Paper M. Sismanis; R.T. Chadoulis; I. Manakos; A. Drosou. An Unsupervised burned area mapping approach using Sentinel-2 images. Land. https://doi.org/10.3390/land12020379.

  • 2023

    Journal Paper M. Milczarek; S. Aleksandrowicz; A. Kita; R.T. Chadoulis; I. Manakos; E. Woźniak. Object- Versus Pixel-Based Unsupervised Fire Burn Scar Mapping under Different Biogeographical Conditions in Europe. MDPI Land. https://doi.org/10.3390/land12051087.

  • 2023

    Journal Paper L. Alagialoglou; Ioannis Manakos; Sofia Papadopoulou; Rizos-Theodoros Chadoulis; Afroditi Kita. Mapping underwater aquatic vegetation using foundation models with air- and space-borne images: the case of Polyphytos Lake. MDPI Land. https://doi.org/10.3390/rs15164001.

Research Projects

AQUACYCLE

AQUACYCLE - Towards Sustainable Treatment and Reuse of Wastewater in the Mediterranean Region aims to bring an eco-innovative wastewater treatment technology that will consist of anaerobic digestion, constructed wetlands and solar treatment for the cost-effective treatment of urban wastewater with minimal costs of operation and maximum environmental benefits.

EOTIST

Earth Observation Training in Science and Technology (EOTiST) aims to enhance the Science and Technology capacity of the Space Research Centre of the Polish Academy of Sciences (CBK PAN) and to achieve excellence in research of EO products’ assimilation in the ecosystem assessment and monitoring by starting close collaboration with 3 European centres of excellence: CERTH, CREAF, CNR.

MEDWAYCAP

The MEDiterranean pathWAY for innovation CAPitalisation toward an urban-rural integrated development of non-conventional water resources aims to embrace the non-conventional water reuse and management in the Mediterranean region through the promotion of sustainable strategies and technological innovations

PONTOS

Copernicus assisted environmental monitoring across the Black Sea Basin-PONTOS is a 30-month project funded by the European Union’s ENI CBC Black Sea Basin Programme 2014-2020. The PONTOS makes information about the Black Sea environment from the EU Copernicus Earth Observation platform accessible to scientists, policymakers, citizens, and other relevant stakeholders. It utilizes information technologies to automatically retrieve Copernicus products, couples them with national or regional infrastructures for data acquisition and processing, and provides monitoring services for the Black Sea and the surrounding environment in a transboundary, standardized, and homogenized manner. The environmental monitoring system developed is tested in pilot sites across Armenia, Greece, Georgia, and Ukraine.

SnapEarth

SnapEarth project is to foster the Market growth of COPERNICUS by instigating the development of new EO applications and to develop general public awareness to EO data. SnapEarth is to initiate the creation of a virtuous circle of innovation by providing to EO data users an innovative platform with leading edge EO segmented datasets, Neural Networks models and Cloud computing ecosystem.

WQeMS

WQeMS aims to provide an operational Water Quality Emergency Monitoring Service to the water utilities industry in relation with the quality of the ‘water we drink’. Therefore, it will focus its activities on monitoring of lakes valorized by the water utilities for the delivery of drinking water.