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 1: Foundations of Geoinformatics1. The New Era in Geoinformatics2. Geoinformatics and spatial practice via new technologies3. Big Earth data in practice4. Fundamental of Crowdsourced technologies5. Crowdsourced data contribution towards geospatial maturenessSection 2: Artificial Intelligence in spatial practice6. AI in spatial object recognition7. Geocomputation and geospatial artificial intelligence8. Deep Learning-based flood recognition9. UAV Imagery and Deep Learning10. Earth observation data and AI11. Neural Network techniques for spatial forecasting12. AI, ANN in landslides modellingSection 3: Big Earth Data in Geoinformatics13. Imagery big data for mapping14. Big earth observation data (Professor Xiao Huang)15. Big Meteorological observation data towards making environmental indices16. Lidar point cloud available techniques17. Predicting changes via big earth observation data18. Big data for Analysis Ready Data (ARD)19. Using online platforms for handling big observation data20. Big Earth data and FOSS4G21. Sensors big dataSection 4: Crowdsourced technologies in the new Geoinformatics era22. VGI and crowdsourcing in geographic practice23. Innovative Crowd Science24. Policy aspects of environmental information, crowdsourced geographic information, and citizen science25. Volunteered Geographic Information (VGI) quality assessment26. Volunteered Geographic Information (VGI) and Crowdsourced practices of spatial data in geographic research27. Public Good Provision and online communities28. VGI in environmental management29. Spatial bias in VGI30. Crowdsourcing, citizen science or volunteered geographic information31. Conclusions