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Elsevier

The Geoinformatics Frontier

AI, Big Data, and Crowdsourced Technologies

  • 1st Edition - June 5, 2026
  • Latest edition
  • Editors: Kleomenis Kalogeropoulos, Andreas Tsatsaris, Vyron Antoniou, Xiao Huang
  • Language: English

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

Description

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.

Key features

  • 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

Readership

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

Table of contents

Section I: Foundations of geoinformatics

  1. The new era in geoinformatics
    ​Kleomenis Kalogeropoulos, Andreas Tsatsaris
  2. A geospatial moisture change detection after Ianos medicane using Sentinel-2 imagery in Central Thessaly, Greece
    Christina Lekka, George P. Petropoulos, Kleomenis Kalogeropoulos
  3. Combining cartography and mythology: An educational approach via Web-GIS
    Kleomenis Kalogeropoulos, Vasileios Apostolidis, Dimitrios Tsesmelis, Elissavet Feloni, Andreas Tsatsaris
  4. Travel cartography in the age of geoinformatics: The Kazantzakis example
    Spyros Ntzouropanos, Kleomenis Kalogeropoulos, Andreas Tsatsaris, Ioannis Katsios
  5. Archaeological surface survey and spatial analysis: Unlocking efficiency and accuracy using geographic information system technology
    Alkiviadis Rentzelos, Grigoris Grigorakakis, Kleomenis Kalogeropoulos, Andreas Tsatsaris

Section II: Artificial intelligence in spatial practice

6. Revealing the contribution of conditioning factors to landslide activity in terms of machine learning and fuzzy logic-based susceptibility assessment
Christos Polykretis, Kleomenis Kalogeropoulos

7. UAVS in urban air pollution monitoring: State-of-the-art and future pathways
Georgios Gkatzios, George P. Petropoulos, Petros Masouridis, Spyridon Detsikas

8. Study and implementation of visual SLAM algorithms in photogrammetry and computer vision
Maria Petsa, Lazaros Grammatikopoulos

9. Heuristic and optimal viewshed algorithms for forest monitoring and observation post allocation
Stavros Roumelis, Kleomenis Kalogeropoulos, Sotiris Karpouzas, Spiros Neokosmidis, Kleoniki Rerra, Christos Chalkias

10. Radar remote sensing: Fundamentals, data, and AI-powered processing techniques
Evangelos Xynogalas, Vyron Antoniou

11. Study and evaluation of modern SLAM algorithms using LiDAR sensor data
Emmanuel Taoulai, Lazaros Grammatikopoulos

12. A deep learning framework for building outline and footprint extraction in historical cartographic data
Stavroula Malachia, Anastasios Kesidis, Kleomenis Kalogeropoulos, Andreas Tsatsaris

13. Digital heritage in action: Geoinformatics and photogrammetry for managing archaeological landscapes
Kleomenis Kalogeropoulos, Lazaros Grammatikopoulos, Grigoris Grigorakakis, Andreas Tsatsaris

14. GeoAI techniques in flood detection: A comprehensive review
Kleomenis Kalogeropoulos, Dionysios Fragkopoulos, Elissavet G. Feloni, Athina Georgiadi, Dimitrios E. Tsesmelis, George P. Petropoulos, Andreas Tsatsaris

15. GIS-based modeling techniques and Geospatial-Artificial Intelligence (Geo-AI) model in assessing the spatial-temporal variation of air pollution
Chih-Da Wu

16. Advancing unmanned aerial vehicles technology for a sustainable environment: The contribution of the ACCELERATE research project
George P. Petropoulos, Spyridon E. Detsikas, Petros Masouridis, Antonis Litke, Kostas Grigoriadis, Georgios Nektarios Tselos, Konstantina Petropoulou, Danai Varvatsouli

17. Improving thunderstorm prediction with neural networks using numerical weather and satellite data: A novel data fusion and validation approach
Hadi Mahdipour, Alireza Sharifi, Dariush Abbasi-Moghadam, Mehdi Sookhak, Aqil Tariq

18. Land use/cover mapping at high spatial resolution from unmanned aerial vehicle data and machine learning
Spyridon E. Detsikas, George P. Petropoulos, Christina Lekka, Ioannis Faraslis

19. The geometric shape of a spatial network
Leandro Tortosa

20. Delineation of site-specific soil management zones using multivariate analysis and geospatial techniques
Muhammad Amin, Rana Faizan Ali Khan, Aqil Tariq

21. Advancing earth observation applications: Synthetic aperture radar and artificial intelligence in the era of new space
Aymeric Mainvis, Linda Corucci, Peter Dorn, Penelope Kourkouli

22. LULC mapping from hyperspectral data using machine learning: State-of-the-art, challenges, and future outlook
Christina Lekka, George P. Petropoulos, Spyridon E. Detsikas, Kleomenis Kalogeropoulos

23. Designing and creating a noise prediction model in urban and semi-urban areas using machine learning techniques
Lampros Boukouvalas, Andreas Tsatsaris, Anastasios Kesidis, Kleomenis Kalogeropoulos, Vyron Antoniou

24. Use of unmanned aerial vehicles for retrieving key state variables of Earth’s surface energy budget
George P. Petropoulos

Section III: Big earth data in geoinformatics

25. Assessment of vegetation moisture stress using EO-based spectral indices within a cloud computing framework
Nikolina Pappa, Vyron Antoniou

26. Spatiotemporal multidimensional data cubes for EO big data: Analysis and visualization
Nikolina Pappa, Vyron Antoniou

Section IV: Crowdsourced technologies in the new geoinformatics era

27. Volunteered geographic information and crowdsourcing in geographic practice: A unifying conceptual framework
Guiming Zhang

28. Crowdsourced spatial data in human observation: Opportunities, challenges, and future directions
Xiao Huang

29. Conclusions—Geoinformatics in the 21st century
Kleomenis Kalogeropoulos

Product details

  • Edition: 1
  • Latest edition
  • Published: June 8, 2026
  • Language: English

About the editors

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, Greece

AT

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), Greece

VA

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, Greece

XH

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