Mapping the Future: Innovating Earth Insights with Remote Sensing & GIS
Welcome to the webpage of the Remote Sensing and Geographic Information Science (RSGIS) Research Group at the Department of Geography, University of the Aegean. Our newly established team focuses on harnessing remote sensing and GIS technologies to address geographic challenges through cutting-edge applications. A core aspect of our work lies in integrating artificial intelligence (AI) and machine learning (ML) to develop innovative solutions for spatial analysis, environmental monitoring, and urban planning. We are committed to advancing research, fostering collaboration, and inspiring excellence in the application of AI-driven techniques to geographic information science. Join us in exploring the future of geospatial innovation.
News
- Live interview on Greece’s national tv broadcaster for Plomari wildfire
The recent Plomari (Lesvos) wildfire highlighted once again the critical role that Earth Observation and remote sensing can play in supporting rapid post-fire assessment.Following our research group’s initial burned area damage assessment and the related press release, Asst. Prof. Christos… Read more: Live interview on Greece’s national tv broadcaster for Plomari wildfire - Wildfires demand rapid, science-based assessment to support decision-making in the critical hours following an event.
Following the recent Plomari (Lesvos, Greece) wildfire, the Remote Sensing and Geographic Information Science (RSGIS) Research Group at the University of the Aegean prepared an initial burn severity assessment and shared the results through a press release to the local… Read more: Wildfires demand rapid, science-based assessment to support decision-making in the critical hours following an event. - Congratulations to Georgios Alexandros Asvestas – EU TalentOn 2026 Finalist!
We are proud to announce that Alex Asvestas, PhD candidate at the RSGIS Research Group, University of the Aegean, has been selected among the 100 Finalists of EU TalentOn 2026, out of 1,317 applications from across Europe.Alexandros will compete in… Read more: Congratulations to Georgios Alexandros Asvestas – EU TalentOn 2026 Finalist! - MSc Thesis: UAV and deep learning for the high-resolution seabed mapping
Congratulations to Anna Ćulibrk on the successful completion of her MSc thesis!We are delighted to celebrate the successful completion of Anna’s MSc thesis, which explored the use of UAV imagery and deep learning semantic segmentation for the high-resolution seabed mapping… Read more: MSc Thesis: UAV and deep learning for the high-resolution seabed mapping - MSc Thesis: 7-Band Deep Learning for Urban Land Cover Mapping
Congratulations to our MSc student, Nikos Koroniadis, on the successful completion of his Master’s thesis! His research explores how multispectral, thermal, and geometric information can significantly improve the automated classification of urban land cover from UAV imagery using deep learning.… Read more: MSc Thesis: 7-Band Deep Learning for Urban Land Cover Mapping - New Web GIS Application for Wildfire Management in Chios
The Remote Sensing and Geographic Information Systems (RSGIS) Research Group of the Department of Geography, University of the Aegean, has developed an interactive Web GIS application to support wildfire management in the island of Chios. The application was created as… Read more: New Web GIS Application for Wildfire Management in Chios