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EuroFab: European Urban Fabric Classification Using Artificial Intelligence


European Space Agency

Project duration

2024 - 2025

Project team leader

Martin Fleischmann

External participants

Daniel Arribas-Bel

  • The EuroFab project leverages spatial data science and modern deep learning techniques to develop a scientific, technical and applied basis for a detailed, consistent, updatable and open classification of urban fabric in Europe. The project will perform a comprehensive assessment of every building and street segment to provide a rich multiscale description of the built environment, serving as the foundation for a hierarchical classification of patterns of urban fabric, yielding easily interpretable types whose distribution will be mapped in time and space using artificial intelligence reading satellite imagery, providing valuable information for sustainable urban development, climate change mitigation, energy efficiency, renewable energy, nature-based solutions, and biodiversity conservation. The outputs produced by EuroFab contribute to define novel and more granular indicators to measure progress towards the targets set by the UN Sustainable Development Goals (SDG) framework, especially SDG11, dedicated to sustainable cities and communities, and is in line with many of the core principles behind the UN’s New Urban Agenda.


Urban and Regional Laboratory

Department of Social Geography
& Regional Development

Charles University in Prague
Faculty of Science

Contact us

Albertov 2038/6
128 43 Praha 2 - Nové Město

Contact person
Jiří Nemeškal
211 951 972

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