Scientific Outputs

Journal papers:

  1. Mavrovouniotis, M.; Anastasiadou, M.N.;
    Hadjimitsis, D. Measuring the Performance of Ant
    Colony Optimization Algorithms for the Dynamic Traveling Salesman Problem
    .
    Algorithms 2023, 16, 545. https://doi.org/10.3390/a16120545.
  2. Constantinos F. Panagiotou, Charalampos
    Konstantinou, Anis Chekirbane, A generalized machine learning approach for
    cost-effective monitoring of irrigation suitability: A demonstration case
    in El Fahs aquifer (Tunisia), Groundwater for Sustainable Development,
    Volume 27, 2024, 101324, ISSN 2352-801X, https://doi.org/10.1016/j.gsd.2024.101324.
  3. Christofi, D.; Mettas, C.; Evagorou, E.; Stylianou, N.; Eliades, M.; Theocharidis, C.;
    Chatzipavlis, A.; Hasiotis, T.; Hadjimitsis, D. A Review of Open Remote Sensing Data
    with GIS, AI, and UAV Support for Shoreline Detection and Coastal Erosion Monitoring.
    Appl. Sci. 2025, 15, 4771. https://doi.org/10.3390/app15094771.
  4. S. P. Neophytides, K. Christofi, M. Eliades, C. Chrysostomou, L. G. Papale,
    F. Del Frate, D. G. Hadjimitsis, M. Mavrovouniotis, Spatial Generalization of
    Machine Learning Models for Soil Moisture Estimation in Diverse Environments, 
    “IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing”.
    Submitted – Under Review.
  5. Despoina Makri, Spyridon Christofilakos,
    Dimitris Poursanidis, Dimosthenis Traganos, Christodoulos Mettas,
    Neophytos Stylianou and Diofantos Hadjimitsis, Seagrass Mapping In Cyprus
    Using Earth Observation Advances. Remote Sensing 2025.
    Submitted – Under Review.
  6. Constantinos F. Panagiotou, Giorgia
    Guerrisi, Davide De Santis, Fabio Del Frate, Marios Tzouvaras,
    Investigating the mechanisms of flood susceptibility with the use of
    generalized machine learning models in data-scarce environments: A case
    study in Cyprus. Journal of Flood Risk Management.
    Submitted – Under Review.
  7. Charalambos Chrysostomou, Stelios
    Neophytides, Michalis Mavrovouniotis and Diofantos Hadjimitsis, Optimized
    Spectral Indices for Global Vegetation and Water Mapping Using Sentinel-2.
    International Journal of Applied Earth Observation and Geoinformation.
    Submitted – Under Review.
  8. Maria Prodromou, Ioannis Gitas,
    Christodoulos Mettas, Marios Tzouvaras, Diofantos Hadjimitsis, Evaluating
    the effectiveness of reforestation actions through time series analysis: a
    case study in Cyprus. International Journal of Applied Earth Observation and
    Geoinformation.
    Submitted – Under Review.
  9. Maria Prodromou, Lorenzo Giuliano Papale,
    Davide De Santis, Giorgia Salvucci, Diofantos Hadjimitsis, Fabio Del
    Frate, Marios Tzouvaras, Downscaling ECMWF fuel load product using
    Sentinel-2 and Machine Learning: A case study in Cyprus. IEEE – Geoscience
    and Remote Sensing Letters.
    Submitted – Under Review.
  10. Konstantinos Christofi, Charalambos
    Chrysostomou, Iason Tsardanidis, Michalis Mavrovouniotis, Charalampos
    Kontoes, Diofantos Hadjimitsis, Deep Learning-Based Grassland
    Classification Using Multi-Modal Sentinel-1, Sentinel-2, and Street-Level
    Imagery. Applied Soft Computing Journal.
    Submitted – Under Review.
  11. Davide De Santis, Martina Frezza, Giorgia
    Salvucci, Ilaria Petracca, Mario Papa, Giovanni Schiavon, Fabio Del Frate,
    Daily Land Surface Temperature and Aerosol Products from Multi-Source
    Earth Observation Data: A Case Study over Italy. Remote Sensing.
    Submitted – Under Review.
  12. Eleftheria Kalogirou, Konstantinos Christofi, Muhammad Amjad Iqbal, Fabio Del Frate,
    Valeria La Pegna, Marios Tzouvaras, Christodoulos Mettas, Diofantos Hadjimitsis,
    Comparative Evaluation of Deep SAR Learning Architectures for Oil Spill Detection
    and the Influence of Physical Parameters on Detection Performance.
    Marine Pollution Bulletin. 
    Submitted.

Conference papers:

  1. Marios Tzouvaras, Kyriacos Themistocleous,
    Kyriakos Neocleous, Fabio Del Frate, Giovanni Schiavon, Haris Zacharatos,
    Eleftheria Kouppari, Diofantos G. Hadjimitsis “Enhancing Earth Observation
    Capabilities of the ERATOSTHENES Centre of Excellence on Disaster Risk
    Reduction through Artificial Intelligence: The AI-OBSERVER Horizon Europe
    Twinning Project” Proc. Ninth International Conference on Remote Sensing
    and Geoinformation of the Environment (RSCy2023),
    Poster presentation
    .
  2. M. Tzouvaras, G. Reis, F. Del Frate, H.
    Zacharatos and D. Hadjimitsis, “Enhancing Earth Observation
    Capabilities of the Eratosthenes Centre of Excellence on Disaster Risk
    Reduction Through Artificial Intelligence: Introducing the AI-OBSERVER
    Project,” IGARSS 2024 – 2024 IEEE International Geoscience and Remote
    Sensing Symposium, Athens, Greece, 2024,
    pp. 2871-2874, https://doi.org/10.1109/IGARSS53475.2024.10640751.
  3. E. Neofytou, S. P. Neophytides, M.
    Mavrovouniotis, M. Eliades, C. Papoutsa and D. G. Hadjimitsis, “An
    Empirical Study of Regression Algorithms for Soil Organic Matter
    Prediction,” IGARSS 2024 – 2024 IEEE International Geoscience and
    Remote Sensing Symposium, Athens, Greece, 2024,
    pp. 3686-3691, https://doi.org/10.1109/IGARSS53475.2024.10642115.
  4. E. Kalogirou, M. Mavrovouniotis, M.
    Tzouvaras, C. Mettas, E. Evagorou and D. Hadjimitsis, “Empirical
    Analysis of Oil Spill Detection Methods,” IGARSS 2024 – 2024 IEEE
    International Geoscience and Remote Sensing Symposium, Athens, Greece,
    2024, pp. 3673-3677,
    https://doi.org/10.1109/IGARSS53475.2024.10642731.
  5. S. P. Neophytides, M. Mavrovouniotis, C.
    F. Panagiotou, M. Eliades, A. Chekirbane and D. Hadjimitsis,
    “Prediction of Groundwater Salinization Using Particle Swarm
    Optimization for Neural Network Training,” IGARSS 2024 – 2024 IEEE
    International Geoscience and Remote Sensing Symposium, Athens, Greece,
    2024, pp. 1927-1932,
    https://doi.org/10.1109/IGARSS53475.2024.10641861.
  6. M. Mavrovouniotis, C. Li, D. Yazdani, D.
    Hadjimitsis. Exchange strategies for multi-colony ant algorithms in
    dynamic environments. 2024 IEEE Congress on Evolutionary
    Computation (CEC)
    , Yokohama, Japan, pp. 1-8, 2024.
    https://doi.org/10.1109/CEC60901.2024.10612135.
  7. Mapping Disaster Resilience: GeoAI Best
    Practices from the UN-SPIDER Network, AI for Good Global Summit 2025,
    https://www.un-spider.org/sites/default/files/UN-SPIDER%20GeoAI%20Compendium.pdf.
  8. M. Tzouvaras, M. Mavrovouniotis, R.
    Votsis, K. Fotiou, E. Kalogirou, T. Polydorou, G. Reis, F.Del Frate, L.
    Giuliano Papale, G. Guerrisi, and D. G. Hadjimitsis “Enhancing
    disaster risk reduction through artificial intelligence: capitalizing on
    the capacity building activities of the AI-OBSERVER twinning
    project”, Proc. SPIE 13212, Tenth International Conference on Remote
    Sensing and Geoinformation of the Environment (RSCy2024), 132120K (13
    September 2024);
    https://doi.org/10.1117/12.3037135.
  9. S. P. Neophytides, G. Guerissi, M.
    Mavrovouniotis, M. Tzouvaras, F. Del Frate, and D. G. Hadjimitsis
    “Estimation of crop yield using deep learning for precision
    agriculture”, Proc. SPIE 13212, Tenth International Conference on
    Remote Sensing and Geoinformation of the Environment (RSCy2024), 132121A
    (13 September 2024);
    https://doi.org/10.1117/12.3037319.
  10. Kalogirou, E., Christofi, K., Makri, D.,
    Iqbal, M. A., La Pegna, V., Tzouvaras, M., Mettas, C., and Hadjimitsis,
    D.: Oil Spill Detection using Convolutional Neural Networks and Sentinel-1
    SAR Imagery, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.,
    XLVIII-G-2025, 757–764,
    https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-757-2025.
  11. Christofi, K., Chrysostomou, C.,
    Tsardanidis, I., Mavrovouniotis, M., Guerrisi, G., Kontoes, C., and
    Hadjimitsis, D. G.: Remote Sensing of Grasslands: Performance Comparison
    of Radar and Optical Data in Machine Learning Classification, Int. Arch.
    Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-G-2025, 295–300,
    https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-295-2025.
  12. Tzouvaras, M., Del Frate, F., Reis, G.,
    Hadjimitsis, D. G. Capacity Building Towards Raised Excellence on
    Artificial Intelligence and Earth Observation for Disaster Risk Reduction
    in the Framework of AI-OBSERVER Project. ESA Living Planet Symposium 2025,
    Vienna, Austria.
    https://shorturl.at/6YYcX, Poster presentation
  13. Tzouvaras, M., Votsis, R., Fotiou, K.,
    Prodromou, M., Panagiotou, C., Kalogirou, E., Christofi, D., Reis, G., Del
    Frate, F., Zacharatos, H., Hadjimitsis, D. G. Artificial intelligence and
    Earth observation towards disaster risk reduction: the AI-OBSERVER’s
    research exploratory project. Eleventh International Conference on Remote
    Sensing and Geoinformation of the Environment (RSCy2025), Proc. SPIE
    13816, 138161W, 19 September 2025.
    https://doi.org/10.1117/12.3075493.
  14. Kashyap, P. N., Javanmardi, A., Jaiswal,
    P., Reis, G., Pagani, A., Stricker, D. Spatiotemporal diffusion model for
    satellite imagery. Eleventh International Conference on Remote Sensing
    and Geoinformation of the Environment (RSCy2025),
    Proc. SPIE 13816,
    1381614, 19 September 2025.
    https://doi.org/10.1117/12.3073127.
  15. Doukanari, M., Tzouvaras, M., Fotiou, K.,
    Stylianou, N., Mettas, C., Hadjimitsis, D. G. A GIS-based multi-criteria
    decision analysis framework for landslide risk assessment: a case study in
    Amathounta, Limassol, Cyprus. Eleventh International Conference on Remote
    Sensing and Geoinformation of the Environment (RSCy2025), Proc. SPIE
    13816, 138161Q, 19 September 2025.
    https://doi.org/10.1117/12.3075513.
  16. De Santis, D; Settembre, D; Cappelli, C;
    Tzouvaras, M; Schiavon, G; Del Frate, F. Identifying Unhealthy Islands in
    Urban Areas due to Spatial Overlap of High Temperatures and Air Pollution.
    IGARSS 2025 – 2025 IEEE International Geoscience and Remote Sensing
    Symposium, Brisbane, Australia, 2025.
    Submitted and accepted.
  17. Cappelli, D.; Petracca, I.; Del
    Frate, F.; Tzouvaras, M..
    A
    Data Fusion Approach to Enhance Satellite Precipitation Product Using
    Ground-Based Radar. IGARSS 2025-2025 IEEE International Geoscience and
    Remote Sensing Symposium, Brisbane, Australia, 2025.
    Submitted and accepted.
  18. Muhammad Amjad Iqbal, Eleftheria
    Kalogirou, Despina Makri, Christodoulos Mettas, Marios Tzouvaras and
    Diofantos G Hadjimitsis, Comparison of Novel, Classical and Developed AI
    Techniques for SAR Oil Spill Detection. (MIGARS 2025) 2025 International
    Conference on Machine Intelligence for GeoAnalytics and Remote Sensing,
    Bucharest, Romania, 2-4 September 2025.
    Submitted and accepted.
  19. Prodromou, M.; Girtsou, S.; Leventis, G.;
    Charalampous, G.; Apostolakis, A.; Tzouvaras, M.; Mettas, C.;
    Giannopoulos, G.; Kontoes, C.; Hadjimitsis, D. Spatiotemporal Analysis of
    Forest Fires in Cyprus Using Earth Observation and Climate Data. Environ.
    Earth Sci. Proc. 2025, 35, 54.
    https://doi.org/10.3390/eesp2025035054.
  20. Gjerazi A., La Pegna V., Del Frate F.
    Synthesis of PRISMA Data From Landsat 8 or 9 Data Using Machine Learning
    Tools. Proceedings SPIE Artificial Intelligence and Image and Signal
    Processing for Remote Sensing XXXI, part of Environmental Remote Sensing, Madrid
    (Spain), September 2025.
    Submitted and accepted.
  21. Gjerazi A., La Pegna V., Del Frate F.
    Synthetic Hyperspectral PRISMA Data Generation from existing Landsat 8 and
    9 Multispectral Data. Proceedings of BIG DATA FROM SPACE 2025 Conference,
    Riga (Latvia), Sep-Oct. 2025.
    Submitted and accepted.
  22. Marios Tzouvaras, Gerd Reis, Fabio Del
    Frate, Haris Zacharatos, Diofantos Hadjimitsis, AI-OBSERVER: A GeoAI
    platform for Disaster Risk Reduction from environmental hazards in Cyprus.
    MedGU 2025 Conference, 11-13 November 2025, Athens, Greece.
    Submitted and accepted.
  23. Diofantos Hadjimitsis, Marios Tzouvaras,
    Renos Votsis, Gerd Reis, Fabio Del Frate, Haris Zacharatos, Earth
    Observation Capabilities of the Eratosthenes Centre of Excellence through
    Artificial Intelligence: Lessons learned through the ‘AI-OBSERVER Twinning
    Project. MedGU 2025 Conference, 11-13 November 2025, Athens, Greece.
    Submitted and accepted.
  24. Maria Prodromou, Ioannis Gitas,
    Christodoulos Mettas, Marios Tzouvaras, Diofantos Hadjimitsis, Assessing
    Post-Fire Reforestation Effectiveness Using Multisource Time Series Data.
    MedGU 2025 Conference, 11-13 November 2025, Athens, Greece.
    Submitted and accepted. 
  25. Kyriaki Fotiou, Giorgia Guerrisi, Fabio
    del Frate, Gerd Reis, Diofantos Hadjimitsis and Marios Tzouvaras,
    Advancing Rainfall-Driven Landslide Susceptibility Models: A Case Study
    from the Broader Trachypedoula Area, Cyprus. MedGU 2025 Conference, 11-13
    November 2025, Athens, Greece.
    Submitted and accepted.
  26. Marios Tzouvaras, Gerd Reis, Fabio Del
    Frate, Haris Zacharatos and Diofantos Hadjimitsis, AI-OBSERVER: Enhancing
    Earth Observation capabilities of the Eratosthenes Centre of Excellence on
    Disaster Risk Reduction through Artificial Intelligence. 8th
    International Disaster and Risk Conference (IDRC 2025), 23-24 October
    2025, Nicosia, Cyprus.
    Submitted and accepted.

 

0