The Geoinformatics Frontier

Section I: Foundations of geoinformatics<br><br>1. The new era in geoinformatics<br>2. A geospatial moisture change detection after Ianos medicane using Sentinel-2 imagery in Central Thessaly, Greece<br>3. Combining cartography and mythology: An educational approach via Web-GIS<br>4. Travel cartography in the age of geoinformatics: The Kazantzakis example<br>5. Archaeological surface survey and spatial analysis: Unlocking efficiency and accuracy using geographic information system technology<br><br>Section II: Artificial intelligence in spatial practice<br><br>6. Revealing the contribution of conditioning factors to landslide activity in terms of machine learning and fuzzy logic-based susceptibility assessment<br>7. UAVS in urban air pollution monitoring: State-of-the-art and future pathways<br>8. Study and implementation of visual SLAM algorithms in photogrammetry and computer vision<br>9.Heuristic and optimal viewshed algorithms for forest monitoring and observation post allocation<br>10. Radar remote sensing: Fundamentals, data, and AI-powered processing techniques<br>11. Study and evaluation of modern SLAM algorithms using LiDAR sensor data<br>12. A deep learning framework for building outline and footprint extraction in historical cartographic data<br>13. Digital heritage in action: Geoinformatics and photogrammetry for managing archaeological landscapes<br>14. GeoAI techniques in flood detection: A comprehensive review<br>15. GIS-based modeling techniques and Geospatial-Artificial Intelligence (Geo-AI) model in assessing the spatial-temporal variation of air pollution<br>16. Advancing unmanned aerial vehicles technology for a sustainable environment: The contribution of the ACCELERATE research project<br>17. Improving thunderstorm prediction with neural networks using numerical weather and satellite data: A novel data fusion and validation approach<br>18. Land use/cover mapping at high spatial resolution from unmanned aerial vehicle data and machine learning<br>19. The geometric shape of a spatial network<br>20. Delineation of site-specific soil management zones using multivariate analysis and geospatial techniques<br>21. Advancing earth observation applications: Synthetic aperture radar and artificial intelligence in the era of new space<br>22. LULC mapping from hyperspectral data using machine learning: State-of-the-art, challenges, and future outlook<br>23. Designing and creating a noise prediction model in urban and semi-urban areas using machine learning techniques<br>24. Use of unmanned aerial vehicles for retrieving key state variables of Earth&rsquo;s surface energy budget<br><br>Section III: Big earth data in geoinformatics<br><br>25. Assessment of vegetation moisture stress using EO-based spectral indices within a cloud computing framework<br>26. Spatiotemporal multidimensional data cubes for EO big data: Analysis and visualization<br><br>Section IV: Crowdsourced technologies in the new geoinformatics era<br><br>27. Volunteered geographic information and crowdsourcing in geographic practice: A unifying conceptual framework<br>28. Crowdsourced spatial data in human observation: Opportunities, challenges, and future directions<br>29. Conclusions—Geoinformatics in the 21st century