Environment – Multimodal Data Fusion and Analytics Group

BiasUNet: Learning Change Detection over Sentinel-2 Image Pairs

M. Pegia, A. Moumtzidou, I.Gialampoukidis, B. T. Johnsson, S. Vrochidis, and I. Kompatsiaris "BiasUNet: Learning Change Detection over Sentinel-2 Image Pairs", In the proceedings of the 19th International Conference on Content-based Multimedia Indexing (CBMI 2022), 14-16 September 2022, Graz, Austria.

An early-warning system for fire spreading by monitoring simple climate conditions and combining Cellular Automata with Digital Twins

N. I. Dourvas, A. Papagianni, I. Koulalis, K. Ioannidis, S. Vrochidis and I. Kompatsiaris, "An early-warning system for fire spreading by monitoring simple climate conditions and combining Cellular Automata with Digital Twins," 2022 IEEE International Workshop on Metrology for Living Environment (MetroLivEn), 2022, pp. 252-257, DOI:10.1109/MetroLivEnv54405.2022.9826950.

Ontology-based technologies for disaster preparedness, response and recovery

Panagiota Masa, Georgios Tzanetis, Spyridon Kintzios, Georgios Meditskos, Stefanos Vrochidis, Ioannis Kompatsiaris, "Ontology-based technologies for disaster preparedness, response and recovery", In 9th International Conference on Civil Protection & New Technologies (SafeThessaloniki 2022), (accepted for publication)

Deep Learning for Remote Sensing Image Downscaling: Fusion and Super-Resolution

M. Sdraka, I. Papoutsis, B. Psomas, K. Vlachos, K. Ioannidis, K. Karantzalos, I. Gialampoukidis, S. Vrochidis, "Deep Learning for Remote Sensing Image Downscaling: Fusion and Super-Resolution", IEEE Geoscience and Remote Sensing Magazine, Pages: 2 - 55, 02 June 2022, DOI: 10.1109/MGRS.2022.3171836.

Detection of oil spills in an inland lake using Multi-Spectral Satellite Images

D. F. Mantsis, M. Bakratsas, K. Vlachos, A. Moumtzidou, I. Gialampoukidis, S. Vrochidis, I. Kompatsiaris "Detection of oil spills in an inland lake using Multi-Spectral Satellite Images". In Proceedings of the 2022 Living Planet Symposium, 23-27 May 2022, Bonn, Germany.

A tempοral Deep Convolutional Neural Network model on Sentinel-1 Image Time Series for pixel-wise Flood Classification

K. Vlachos, A. Moumtzidou, I. Gialampoukidis, S. Vrochidis, I. Kompatsiaris, "A tempοral Deep Convolutional Neural Network model on Sentinel-1 Image Time Series for pixel-wise Flood Classification". In Proceedings of the 2022 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2022), Kuala Lumpur, Malaysia, 17-22 July 2022, Physical, IEEE.

Ontology-based Modelling and Reasoning for Forest Fire Emergencies in Resilient Societies

P. Masa, G. Meditskos, S. Kintzios, S. Vrochidis, I. Kompatsiaris, "Ontology-based Modelling and Reasoning for Forest Fire Emergencies in Resilient Societies", 12th EETN Conference on Artificial Intelligence (SETN 2022), September 7-9 2022, Corfu, Greece (accepted for publication).

Real-time Alert Framework for Fire Incidents Using Multimodal Event Detection on Social Media Streams

T. Papadimos, N. Pantelidis, S. Andreadis, A. Bozas, I. Gialampoukidis, S. Vrochidis, and I. Kompatsiaris, "Real-time Alert Framework for Fire Incidents Using Multimodal Event Detection on Social Media Streams". In Proceedings of the 19th International Conference on Information Systems for Crisis Response and Management, 22-25 May 2022, Tarbes, France.

Exploring the potential of innovative methods for integrated water and flood risk management in the Oriental Alpes river district: the aqua3S approach

M. Ferri, F. Lombardo, D. Norbiato, A. Moumtzidou, A. Karakostas, S. Vrochidis, and I. Kompatsiaris "Exploring the potential of innovative methods for integrated water and flood risk management in the Oriental Alpes river district: the aqua3S approach".WMS-EXPO2020: Water Resources Management and Sustainability: Solutions for Arid Regions, Dubai Exhibition Center (DEC), Dubai, UAE, March 22-24, 2022.

On the Use of Semantic Web Technologies for Forest Fire Emergencies in Resilient Societies

P. Masa , G. Meditskos, A. Karakostas , S. Vrochidis, I. Kompatsiaris, (2021). "On the Use of Semantic Web Technologies for Forest Fire Emergencies in Resilient Societies", In Proceedings of the 2021 International Conference on Security and Management (SAM'21), Las Vegas, USA, July 26-29, 2021.

Harmonizing Data Collection in an Ontology for a Risk Management Platform

DC. Hilbring, J. Mossgraber, P. Hertweck, T. Hellmund, H. van der Schaaf, A. Karakostas, E. Kontopoulos, I. Gialampoukidis, S. Andreadis, S. Vrochidis, I. Kompatsiaris,“Harmonizing Data Collection in an Ontology for a Risk Management Platform”, In proceedings of Enviroinfo 10 July 2018, Shaker-Verlag

Towards improved air quality monitoring using publicly available sky images

Spyromitros-Xioufs, A. Moumtzidou, S. Papadopoulos, S. Vrochidis, Y. Kompatsiaris, A. K. Georgoulias, G. Alexandri, K. Kourtidis. "Towards improved air quality monitoring using publicly available sky images". In Multimedia Technologies for Environmental & Biodiversity Informatics, 20 June 2018.

Multimodal Fusion of Big Multimedia Data, in Book: Big Data Analytics for Large-Scale Multimedia Search

I. Gialampoukidis, E. Chatzilari, S. Nikolopoulos, S. Vrochidis, I. Kompatsiaris. “Multimodal Fusion of Big Multimedia Data, in Book: Big Data Analytics for Large-Scale Multimedia Search”. 15 March 2019.

IoT and Semantic Web Technologies

A. Chatzimichail, E. A. Stathopoulos, D. Ntioudis, A. Tsanousa, M. Rousi, A. Mavropoulos, G. Meditskos, S. Vrochidis and I. Kompatsiaris. “IoT and Semantic Web Technologies”. Semantic IOT: Theory and Applications - Interoperability, Provenance and Beyond, Book series: Studies in Computational Intelligence, Springer, 2020, p. 3-33.

Ontology-centered environmental information delivery for personalized decision support

L. Wanner, M. Rospocher, S. Vrochidis, L. Johansson, N. Bouayad-Aghae, G. Casamayor, A. Karppinen, I. Kompatsiaris, S. Millee, A. Moumtzidou, L. Serafini. "Ontology-centered environmental information delivery for personalized decision support". Expert Systems With Applications, Volume 42, Issue 12, 15 July 2015, Pages 5032–5046.

Environmental data extraction from heatmaps using the AirMerge system

V. Epitropou, T. Bassoukos, K. Karatzas, A. Karppinen, L. Wanner, S. Vrochidis, I. Kompatsiaris, J. Kukkonen. "Environmental data extraction from heatmaps using the AirMerge system". Multimedia Tools and Applications, May 2015. pp. 1-25, 7 May 2015.

Oil Spill Identification from Satellite Images Using Deep Neural Networks

M. Krestenitis, G. Orfanidis, K. Ioannidis, K. Avgerinakis, S. Vrochidis and I. Kompatsiaris. "Oil Spill Identification from Satellite Images Using Deep Neural Networks". Remote Sensing, 11(15), 1762, 26 July 2019.

EUCISE-OWL: An Ontology-based Representation of the Common Information Sharing Environment (CISE) for the Maritime Domain

M. Riga, E. Kontopoulos, K. Ioannidis, S. Kintzios, S. Vrochidis, I. Kompatsiaris (2020). “EUCISE-OWL: An Ontology-based Representation of the Common Information Sharing Environment (CISE) for the Maritime Domain” Semantic Web, vol. 12, no. 4, pp. 603-615, 2021.

Making Urban Water Smart: The SMART-WATER solution

G. Antzoulatos, C. Mourtzios, P. Stournara, I.O. Kouloglou, N. Papadimitriou, D. Spyrou, A. Mentes, E. Nikolaidis, A. Karakostas, D. Kourtesis, S. Vrochidis, I. Kompatsiaris. "Making Urban Water Smart: The SMART-WATER solution", Special Issue "Making water smart – preparing the water sector for the data and autonomy revolution", Water Science & Technology, Volume 82, Issue 12, 18 August 2020

Semantically Enriching an Open Source SOS Implementation for Accessing Heterogeneous Environmental Data Sources

D. Hilbring, A. Moumtzidou, J. Mossgraber and S. Vrochidis,"Semantically Enriching an Open Source SOS Implementation for Accessing Heterogeneous Environmental Data Sources", The Global Conference for Open Source Geospatial Software,(FOSS4G 2013), Nottingham, UK, 17-21 September, 2013.

The extraction and fusion of meteorological and air quality information for orchestrated services

L. Johansson, V. Epitropou, K. Karatzas, L. Wanner, A. Karppinen, J. Kukkonen, S. Vrochidis and I. Kompatsiaris,“The extraction and fusion of meteorological and air quality information for orchestrated services”, Proceedings of 1st International Workshop on Environmental Multimedia Retrieval (EMR 2014), Glasgow, UK,1 April , 2014.

An Ontology-based Decision Support Framework for Personalized Quality of Life Recommendations

M. Riga, E. Kontopoulos, K. Karatzas, S. Vrochidis and I. Kompatsiaris, "An Ontology-based Decision Support Framework for Personalized Quality of Life Recommendations", In: 4th International Conference on Decision Support System Technology (ICDSST 2018), 22-25 May 2018, Heraklion, Crete, Greece.

A deep neural network for oil spill semantic segmentation in SAR images

G. Orfanidis, K. Ioannidis, K. Avgerinakis, S. Vrochidis and I. Kompatsiaris., "A deep neural network for oil spill semantic segmentation in SAR images", To be presented in IEEE Int. Conf. on Image Processing (ICIP 2018), Athens, Greece, 10 October 2018.

Social Media Observations for Flood Event Monitoring in Italy over a One-Year Period

S. Andreadis, I. Gialampoukidis, R. Fiorin, F. Lombardo, D. Norbiato, A. Karakostas, M. Ferri, S. Vrochidis and I. Kompatsiaris, "Social Media Observations for Flood Event Monitoring in Italy over a One-Year Period", 2nd International Conference Citizen Observatories for natural hazards and Water Management (COWM 2018), 27-30 November 2018, Venezia, Italy.

Towards Air Quality Estimation Using Collected Multimodal Environmental Data

A. Moumtzidou, S. Papadopoulos, S. Vrochidis, I. Kompatsiaris, K. Kourtidis, G. Hloupis, I. Stavrakas, K. Pa-pachristopoulou, and C. Keratidis,"Towards Air Quality Estimation Using Collected Multimodal Environmental Data", 1st International Workshop on Internet and Social media for Environmental Monitoring (In conjunction with the 3rd international conference on Internet Science (INSCI 2016), Florence, Italy, 12 September 2016.

Oil spill identification from satellite images using deep neural networks

M.Krestenitis, G. Orfanidis, K.Ioannidis, K.Avgerinakis, S.Vrochidis, & I.Kompatsiaris,"Oil spill identification from satellite images using deep neural networks", Remote Sensing, 11(15), 1762, 26 July 2017.

EMR ’14: Proceedings of the 1nd International Workshop on Environmental Multimedia Retrieval

S. Vrochidis, K. Karatzas, A. Karppinen, A. Joly, (Eds.). (2014). EMR ’14: Proceedings of the 1nd International Workshop on Environmental Multimedia Retrieval. Glasgow, UK, 1 April 2014, CEUR, Vol 1222.

EMR ’15: Proceedings of the 2nd International Workshop on Environmental Multimedia Retrieval

S. Vrochidis, K. Karatzas, A. Karppinen, A. Joly, A. B. Albu (Eds.). (2015). EMR ’15: Proceedings of the 2nd International Workshop on Environmental Multimedia Retrieval. Shanghai, China,Association for Computing Machinery, 30 June 2015.

Early Identification of Oil Spills in Satellite Images Using Deep CNNs

M. Krestenitis, G. Orfanidis, K. Ioannidis, K. Avgerinakis, S. Vrochidis and I. Kompatsiaris,"Early Identification of Oil Spills in Satellite Images Using Deep CNNs", In International Conference on Multimedia Modeling (MMM 2019), (pp. 424-435), Springer, Cham, 11 January 2019.

Guest Editorial: Environmental Multimedia Retrieval

S. Vrochidis, K. Karatzas, A. Karppinen, A. Joly (Eds). (2016). Guest Editorial: Environmental Multimedia Retrieval. Multimedia Tools Appl. 75(3): 1557-1562, 28 January 2016.

The Ever Growing use of Copernicus across Europe’s Regions

A. Moumtzidou, G. Orfanidis, S. Andreadis, K. Ioannidis, I. Gialampoukidis, S. Vrochidis, I. Kompatsiaris. A space-based solution for oil spill detection. NEREUS/ESA/EC “The Ever Growing use of Copernicus across Europe’s Regions” (p. 277).

Multimedia Tools and Applications for Environmental & Biodiversity Informatics

A. Joly, S. Vrochidis, K. Karatzas, A. Karppinen, P. Bonnet (2018). Multimedia Tools and Applications for Environmental & Biodiversity Informatics. 221 pages, Springer.

Applying Semantic Web Technologies for Decision Support in Climate-Related Crisis Management

E. Kontopoulos, P. Mitzias, S. Dasiopoulou, J. Mo?graber, S. Mille, P. Hertweck, T. Hellmund, A. Karakostas, S. Vrochidis, L. Wanner, I. Kompatsiaris, "Applying Semantic Web Technologies for Decision Support in Climate-Related Crisis Management", 2nd International Conference Citizen Observatories for natural hazards and Water Management (COWM 2018), 27-30 November 2018, Venezia, Italy.

Road passability estimation using deep neural networks and satellite image patches

A. Moumtzidou, M. Bakratsas, S. Andreadis, I. Gialampoukidis, S. Vrochidis and I. Kompatsiaris,"Road passability estimation using deep neural networks and satellite image patches", Proc. of the 2019 conference on Big Data from Space (BiDS 2019), pp. 1–4, Munich, Germany,10 September 2019.

Service-Based Infrastructure for User-Oriented Envi-ronmental Information Delivery

L. Wanner, H. Bosch, N. Bouayad-Agha, U. Brugel, G. Casamayor, T. Ertl, A. Karppinen, I. Kompatsiaris, T. Koskentalo, S. Mille, J. Mossgraber, A. Moumtzidou, M. Myllynen, E. Pianta, M. Rospocher, H. Saggion, L. Serafini, V. Tarvainen, S. Tonelli, T. Uslander, S. Vrochidis,"Service-Based Infrastructure for User-Oriented Envi-ronmental Information Delivery", (ENVIP 2010), Workshop, Bonn/Cologne, 6-8 October, 2010.

Personalized environmental service orchestration for quality of life improvement

L. Wanner, S. Vrochidis, M. Rospocher, J. Mossgraber, H. Bosch, A. Karppinen, M. Myllynen, S. Tonelli, N. Bouayad-Agha, U. Bugel, G. Casamayor, T. Ert, D. Hilbring, K. Karatzas, I. Kompatsiaris, T. Koskentalo, S. Mille, A. Moumtzidou, E. Pianta, H. Saggion, L. Serafini, V. Tarvainen,"Personalized environmental service orchestration for quality of life improvement", Artificial Intelligence Applications and Innovations, IFIP Advances in Information and Communication Technology Volume 382, pp 351-360, 3rd Intelligent Systems for Quality of Life information Services Workshop (ISQL 2012), Halkidiki, Greece, 29 September 2012.

Visual and textual analysis of social media and satellite images for flood detection

K. Avgerinakis, A. Moumtzidou, S. Andreadis, E. Michail, I. Gialampoukidis, S. Vrochidis, I. Kompatsiaris, “Visual and textual analysis of social media and satellite images for flood detection”, Multimedia Satellite task of MediaEval, 9 July 2017.

A multimodal approach in estimating road passability through a flooded area using social media and satellite images

A. Moumtzidou, P. Giannakeris, S. Andreadis, A. Mavropoulos, G. Meditskos, I. Gialampoukidis, K. Avgerinakis, S. Vrochidis and I. Kompatsiaris, "A multimodal approach in estimating road passability through a flooded area using social media and satellite images", @ multimedia satellite task MediaEval. In Proceedings of the Working Notes Proceeding MediaEval Workshop, Sophia Antipolis, France, 29-31 October, 2018.

A Deep Neural Network Slope Reduction Model on Sentinel-1 Images for Water Mask Extraction

M. Bakratsas, A. Moumtzidou, I. Gialampoukidis, S. Vrochidis, I. Kompatsiaris, "A Deep Neural Network Slope Reduction Model on Sentinel-1 Images for Water Mask Extraction", 40th Asian Conference on Remote Sensing (ACRS 2019), Daejeon Convention Center (DCC), Korea, 14-18 October 2019.

Multimodal Fusion of Sentinel-1 images and Social media Data for Snow Depth estimation

D. Mantsis, M. Bakratsas, S. Andreadis, P. Karsisto, A. Moumtzidou, I. Gialampoukidis, A. Karppinen, S. Vrochidis, and I. Kompatsiaris. “Multimodal Fusion of Sentinel-1 images and Social media Data for Snow Depth estimation”. IEEE Geoscience and Remote Sensing Letters, pp. 1-5, 30 October 2020.

Early and Late Fusion of Multiple Modalities in Sentinel Image Retrieval

W. Yao, A. Moumtzidou , C. O. Dumitru, S. Andreadis, I. Gialampoukidis, S. Vrochidis, M. Datcu, I. Kompatsiaris, "Early and Late Fusion of Multiple Modalities in Sentinel Imagery and Social Media Retrieval" , 11th IAPR International Workshop on Pattern Recognition in Remote Sensing (PRRS 2020/2021), in conjunction with the International Conference on Pattern Recognition (ICPR 2020), 10 January 2021.

Semantically enriched crop type classification and Linked Earth Observation Data to support the Common Agricultural Policy monitoring

M. Rousi, V. Sitokonstantinou, G. Meditskos, I. Papoutsis, I. Gialampoukidis, A. Koukos, V. Karathanassi, T. Drivas, S. Vrochidis, C. Kontoes, I. Kompatsiaris. “Semantically enriched crop type classification and Linked Earth Observation Data to support the Common Agricultural Policy monitoring”. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. vol. 14, pp. 529-552, 17 November 2020.