IDEAtlas, an ESA-funded project, is aiming to develop, implement, validate and showcase advanced AI-based methods to automatically map and characterize the spatial extent of slums from Earth Observation (EO) data.
This will support national and local governments as well as the civil society to monitor progress on SDG indicator 11.1.1 on the proportion of the urban population living in informal settlements or inadequate housing.
The project is adopting a user-centred approach where various local, national and international stakeholders will participate in the co-design and co-development of the AI-based solutions. The project builds on the insights and data generated in both previous and ongoing projects such as IDEAMAPS and SLUMAP.
The developed algorithms will be implemented and integrated into a cloud-based end-to-end processing system, and its performance demonstrated in eight test cities.
For further information, please have a look at the IDEAtlas Website: https://ideatlas.eu/