geo

The International Telecommunication Union (ITU) is launching the fourth edition of the GeoAI Challenge, inviting students and professionals worldwide to tackle real‑world geospatial problems using artificial intelligence (AI) and machine learning (ML) to support advance solutions to solve global challenges.
This session introduces the challenge problem statement “Reaching new heights with GeoFM embeddings”, developed in cooperation with the European Space Agency (ESA) Φ‑lab Challenges, KTH Royal Institute of Technology, Politecnico di Milano, and the Group on Earth Observation (GEO).
The project represents an important first step toward building a global open dataset of Digital Surface Models (DSM), Digital Terrain Models (DTM), and ground‑cover categories derived solely from open satellite imagery. Participants will train models on selected regions and assess their ability to generalize across diverse geographical areas. Such datasets enable a wide range of SDG‑relevant applications.
For ITU, global geospatial datasets are essential to improve the accuracy of ITU‑R radio‑wave propagation prediction methods, which support spectrum sharing studies, radio‑interference assessment, and coverage estimation for point‑to‑area services such as mobile and broadcasting systems.

Institutions

• AI for Good