Theme
The rapid advancement of Artificial Intelligence (AI), and Machine Learning (ML) techniques, combined with the surge in geospatial data availability and massive computational power, has unveiled new avenues for addressing real-world challenges from a spatial perspective. Recognizing the transformative potential of this synergy, the ITU launched the
GeoAI Discovery webinar series and the
GeoAI Challenge in 2022. Now in its second year this challenge stands as a beacon, motivating intellects globally to collaboratively tackle geospatial problems by leveraging the progress of AI/ML, with the ultimate vision of furthering the United Nations Sustainable Development Goals (SDGs) development.
Building on the ongoing discussions on Geospatial AI (GeoAI) in the ITU Discovery track and the achievements of the GeoAI Challenge's second edition, this special issue aspires to spotlight and amplify the groundbreaking approaches and insights from the challenge. We invite GeoAI Challenge participants and experts from the broad GeoAI community to share their novel solutions, techniques, and visions.
Keywords
Artificial Intelligence (AI), geospatial, Machine Learning (ML), Sustainable Development Goals (SDGs), Geospatial Artificial Intelligence (GeoAI), geospatial foundation models, geospatial generative AI
Suggest topics (but not limited to)
Applications and case studies:
- Application AI/ML to geospatial technologies
- In-depth case studies illustrating the application of AI/ML/Deep Learning (DL) in geospatial problems
- Experiences, learnings, and perspectives from the GeoAI Challenge 2023
Methodologies and techniques
- Advances of AI/ML in Earth observation
- Novel GeoAI algorithms
- Cutting-edge GeoAI methodologies and techniques to champion SDGs
- Geospatial foundation models
- Geospatial generative AI
Education and society:
- Ethical, societal, and policy ramifications of GeoAI dedicated to sustainable evolution
- GeoAI and education
Download the FULL call for papers here.
Leading Guest Editor
Guest Editors
