The Geoinformatics Frontier

Dr. Kleomenis Kalogeropoulos is a Survey Engineer (Ph.D., MSc, and BSc), and an adjunct lecturer at the Department of Surveying and Geoinformatics Engineering, University of West Attica, Greece. His research interests are focused on GIS, SDI, spatial analysis, spatial epidemiology, natural disaster modeling, geoarchaeology, digital cartography, and geography. He is also a lecturer at the Greek National Centre for Public Administration & Local Government, a certified evaluator of the Greek General Secretariat in Research and Technology and an Expert in Earth Sciences in the use of GIS and Remote Sensing applications for the Institute of Educational Policy, of the Greek Ministry of Education. He boasts a publication record of over 100 articles in scientific journals and international conferences, which have garnered numerous references. His involvement extends to over 15 national and international research programs. Additionally, he serves as a reviewer for more than 25 esteemed scientific journals.Professor Andreas Tsatsaris is a Rural and Surveying Engineer and President of the Department of Surveying and Geoinformatics Engineering of the University of West Attica (UniWA), Greece. He is also Director of the Research Laboratory "GAEA". He has been teaching since 1996 in Spatial Epidemiology, Medical Geography, GIS, and Thematic Cartography in both Postgraduate and Undergraduate Studies Programs of the Faculty of Medicine at the University of Crete and Aristotle University of Thessaloniki, and the Faculty of Engineering at UniWA. He has published over 90 articles in scientific journals and international conferences and has participated in over 30 national and international research programs. He is a certified evaluator of the State Scholarship Foundation and General Secretariat in Research and Technology in the evaluation of research proposals. Professor Vyron Antoniou is an Assistant Professor at the Hellenic Army Academy where he teaches courses on Geoinformatics and Military Geography. He served 30 years as a Geospatial Officer in the Hellenic Geographical Service of the Greek Army. His professional and research interest focus on various geospatial topics including volunteered geographic information, spatial databases, earth observation and machine learning, spatial analysis, and spatial data quality. He is governmental expert for the Space CapTech of the European Defence Agency, member of the editorial board of Geomedia, Review Editor for the section Geoinformatics within the journal Frontiers in Earth Science and affiliated researcher to the UCL ExCiteS program. He also provides reviewing services for several academic journals.Professor Xiao Huang is an Assistant Professor at the Department of Environmental Sciences at Emory University. His research primarily focuses on geospatial analysis, geovisualization, environmental modeling, computer and data science, and Big Data analytics. His research takes advantage of and also addresses the challenges of rapidly growing data availability through the utilization and development of advanced data fusion techniques and deep learning algorithms. Dr. Huang has authored/co-authored over 120 refereed publications. He serves as an Associated Editor for Computational Urban Science and sits on the Editorial Board for Big Earth Data, International Journal of Digital Earth, Frontiers Remote Sensing, Nature Scientific Reports, Journal of Remote Sensing, Current Social Sciences, and PLOS ONE. He also serves as a reviewer for NASA and NSF grants and for 49 esteemed scientific journals.

• Section I: Foundations of geoinformatics1. The new era in geoinformatics2. A geospatial moisture change detection after Ianos medicane using Sentinel-2 imagery in Central Thessaly, Greece3. Combining cartography and mythology: An educational approach via Web-GIS4. Travel cartography in the age of geoinformatics: The Kazantzakis example5. Archaeological surface survey and spatial analysis: Unlocking efficiency and accuracy using geographic information system technologySection II: Artificial intelligence in spatial practice6. Revealing the contribution of conditioning factors to landslide activity in terms of machine learning and fuzzy logic-based susceptibility assessment7. UAVS in urban air pollution monitoring: State-of-the-art and future pathways8. Study and implementation of visual SLAM algorithms in photogrammetry and computer vision9.Heuristic and optimal viewshed algorithms for forest monitoring and observation post allocation10. Radar remote sensing: Fundamentals, data, and AI-powered processing techniques11. Study and evaluation of modern SLAM algorithms using LiDAR sensor data12. A deep learning framework for building outline and footprint extraction in historical cartographic data13. Digital heritage in action: Geoinformatics and photogrammetry for managing archaeological landscapes14. GeoAI techniques in flood detection: A comprehensive review15. GIS-based modeling techniques and Geospatial-Artificial Intelligence (Geo-AI) model in assessing the spatial-temporal variation of air pollution16. Advancing unmanned aerial vehicles technology for a sustainable environment: The contribution of the ACCELERATE research project17. Improving thunderstorm prediction with neural networks using numerical weather and satellite data: A novel data fusion and validation approach18. Land use/cover mapping at high spatial resolution from unmanned aerial vehicle data and machine learning19. The geometric shape of a spatial network20. Delineation of site-specific soil management zones using multivariate analysis and geospatial techniques21. Advancing earth observation applications: Synthetic aperture radar and artificial intelligence in the era of new space22. LULC mapping from hyperspectral data using machine learning: State-of-the-art, challenges, and future outlook23. Designing and creating a noise prediction model in urban and semi-urban areas using machine learning techniques24. Use of unmanned aerial vehicles for retrieving key state variables of Earth’s surface energy budgetSection III: Big earth data in geoinformatics25. Assessment of vegetation moisture stress using EO-based spectral indices within a cloud computing framework26. Spatiotemporal multidimensional data cubes for EO big data: Analysis and visualizationSection IV: Crowdsourced technologies in the new geoinformatics era27. Volunteered geographic information and crowdsourcing in geographic practice: A unifying conceptual framework28. Crowdsourced spatial data in human observation: Opportunities, challenges, and future directions29. Conclusions—Geoinformatics in the 21st century