Geospatial artificial intelligence (GeoAI) project combining cutting-edge Earth observation, machine learning, and spatial analytics to support resilient and sustainable decision-making.
A 3-year national research project (2025-2028) by the University of Ljubljana, Faculty of Civil and Geodetic Engineering, focusing on:
- Geospatial Data Acquisition – Develop pipelines for mass data collection using satellites, UAVs, and LiDAR
- Machine Learning Methods – Develop automated geospatial mapping and modelling techniques
- 3D/4D Spatial Modelling – Advanced visualization and analytics of built and natural environments
- Decision Support – Apply technologies to spatial planning and natural hazard management
GIS, Earth observation, satellite data, UAV, LiDAR, point clouds, 3D/4D models, time series, artificial intelligence, machine learning, deep learning, spatial analytics
- University of Ljubljana, Faculty of Civil and Geodetic Engineering (Lead)
- University of Ljubljana, Faculty of Computer Science and Informatics
- Jožef Stefan Institute
- Scientific Research Centre of the Slovenian Academy of Sciences and Arts
- Geological Survey of Slovenia
The project is organized into several sub-projects, each with its own focus and code repository.
We welcome contributions from researchers and developers interested in geospatial AI. To contribute:
- Fork the repository
- Create a branch for your feature or fix (
git checkout -b feature/your-feature) - Make your changes with clear, descriptive commits
- Test your code thoroughly
- Submit a pull request with a detailed description of your changes
- Follow Python PEP 8 style guidelines
- Include docstrings and comments for complex code
- Add tests for new functionality
- Update documentation as needed
- Ensure all tests pass before submitting a PR