The Geoinformatics Frontier
AI, Big Data, and Crowdsourced Technologies
- 1st Edition - January 1, 2026
- Imprint: Elsevier
- Editors: Kleomenis Kalogeropoulos, Andreas Tsatsaris, Vyron Antoniou, Xiao Huang
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 3 1 5 7 4 - 9
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 1 5 7 5 - 6
The Geoinformatics Frontier: AI, Big Data, and Crowdsourced Technologies tackles the critical challenge of integrating Geoinformatics, AI, Big Data, and VGI; offering a compre… Read more
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The Geoinformatics Frontier: AI, Big Data, and Crowdsourced Technologies tackles the critical challenge of integrating Geoinformatics, AI, Big Data, and VGI; offering a comprehensive introduction to these pivotal concepts, the book elucidates their foundations and relevance to Geoinformatics. It approaches builds on the theory discussed with practical guidance, examples, and detailed case studies; equipping readers with the knowledge needed to effectively implement them. The book presents case studies spanning various sectors, showcasing how the technologies can be successfully employed to address intricate spatial issues and facilitate well-informed decision-making for the complexities of managing large-scale spatial datasets. It also provides indispensable insights into data collection, storage, quality control, and fusion techniques, offering practical solutions to the challenges of data storage, processing, and analysis. The Geoinformatics Frontier serves as an indispensable guide, bridging the gap in understanding and practice for geospatial scientists, empowering readers to harness the transformative potential of Geoinformatics and advanced computer technologies.
- Provides comprehensive of the integration of AI, Big Data, and Volunteered Geographic Information (VGI) in Geoinformatics, providing a solid foundation of knowledge and practical insights
- Incorportates practical examples and detailed case studies throughout the chapters, allowing readers to see successful implementations, understand the challenges faced, and identify opportunities for their own projects
- Includes considerations for ethics and responsible implementation of AI, Big Data, and VGI, fostering a deeper understanding of the implications of these technologies and tools needed to ensure responsible practices
Academic staff, researchers, technical staff and advanced students in Geospatial Science & Technology inlcuding those involved in Geographic Information Systems (GIS), Disaster Management and Emergency Response, and Environmental and Natural Resource Management
Section 1: Foundations of Geoinformatics
1. The New Era in Geoinformatics
2. Geoinformatics and spatial practice via new technologies
3. Big Earth data in practice
4. Fundamental of Crowdsourced technologies
5. Crowdsourced data contribution towards geospatial matureness
Section 2: Artificial Intelligence in spatial practice
6. AI in spatial object recognition
7. Geocomputation and geospatial artificial intelligence
8. Deep Learning-based flood recognition
9. UAV Imagery and Deep Learning
10. Earth observation data and AI
11. Neural Network techniques for spatial forecasting
12. AI, ANN in landslides modelling
Section 3: Big Earth Data in Geoinformatics
13. Imagery big data for mapping
14. Big earth observation data (Professor Xiao Huang)
15. Big Meteorological observation data towards making environmental indices
16. Lidar point cloud available techniques
17. Predicting changes via big earth observation data
18. Big data for Analysis Ready Data (ARD)
19. Using online platforms for handling big observation data
20. Big Earth data and FOSS4G
21. Sensors big data
Section 4: Crowdsourced technologies in the new Geoinformatics era
22. VGI and crowdsourcing in geographic practice
23. Innovative Crowd Science
24. Policy aspects of environmental information, crowdsourced geographic information, and citizen science
25. Volunteered Geographic Information (VGI) quality assessment
26. Volunteered Geographic Information (VGI) and Crowdsourced practices of spatial data in geographic research
27. Public Good Provision and online communities
28. VGI in environmental management
29. Spatial bias in VGI
30. Crowdsourcing, citizen science or volunteered geographic information
31. Conclusions
1. The New Era in Geoinformatics
2. Geoinformatics and spatial practice via new technologies
3. Big Earth data in practice
4. Fundamental of Crowdsourced technologies
5. Crowdsourced data contribution towards geospatial matureness
Section 2: Artificial Intelligence in spatial practice
6. AI in spatial object recognition
7. Geocomputation and geospatial artificial intelligence
8. Deep Learning-based flood recognition
9. UAV Imagery and Deep Learning
10. Earth observation data and AI
11. Neural Network techniques for spatial forecasting
12. AI, ANN in landslides modelling
Section 3: Big Earth Data in Geoinformatics
13. Imagery big data for mapping
14. Big earth observation data (Professor Xiao Huang)
15. Big Meteorological observation data towards making environmental indices
16. Lidar point cloud available techniques
17. Predicting changes via big earth observation data
18. Big data for Analysis Ready Data (ARD)
19. Using online platforms for handling big observation data
20. Big Earth data and FOSS4G
21. Sensors big data
Section 4: Crowdsourced technologies in the new Geoinformatics era
22. VGI and crowdsourcing in geographic practice
23. Innovative Crowd Science
24. Policy aspects of environmental information, crowdsourced geographic information, and citizen science
25. Volunteered Geographic Information (VGI) quality assessment
26. Volunteered Geographic Information (VGI) and Crowdsourced practices of spatial data in geographic research
27. Public Good Provision and online communities
28. VGI in environmental management
29. Spatial bias in VGI
30. Crowdsourcing, citizen science or volunteered geographic information
31. Conclusions
- Edition: 1
- Published: January 1, 2026
- Imprint: Elsevier
- Language: English
KK
Kleomenis Kalogeropoulos
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.
Affiliations and expertise
Survey Engineer (Ph.D., MSc, and BSc) and an Adjunct Lecturer, Department of Surveying and Geoinformatics Engineering, University of West Attica, GreeceAT
Andreas Tsatsaris
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.
Affiliations and expertise
Rural and Surveying Engineer and President, Department of Surveying and Geoinformatics Engineering, University of West Attica (UniWA), GreeceVA
Vyron Antoniou
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.
Affiliations and expertise
Assistant Professor, Hellenic Army Academy, GreeceXH
Xiao Huang
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.
Affiliations and expertise
Assistant Professor, Department of Environmental Sciences, Emory University, USA