The primary objective of IDEAtlas is 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.
Mexico City, Mexico - Medellín, Colombia - Salvador, Brazil - Buenos Aires, Argentina - Lagos, Nigeria - Nairobi, Kenya - Mumbai, India - Jakarta, Indonesia
European Space Agency
The work of IDEAtlas 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 slums, informal settlements or inadequate housing.
The project adopts a user-centred approach where various local, national and international stakeholders participate in the co-design and co-development of the AI-based solutions. The project builds on previous and partners with ongoing works and available data generated within IDEAMAPS and SLUMAP.
The developed algorithms will then be implemented and integrated into a cloud-based end-to-end processing system, and its performance demonstrated in eight test cities.
Learn more about IDEAtlas here:
The IDEAMAPS Network has produced an evolving family of projects with local teams in cities across the world.Our family of projects develop datasets of urban deprivation and assets (IDEAMAP Sudan, SLUMAP, IDEAtlas, and the IDEAMAPS Data Ecosystem), and foster capacity among stakeholders to use data for decision-making (Data4HumanRights, IDEAMAP Sudan).
Mexico City, Mexico - Medellín, Colombia - Salvador, Brazil - Buenos Aires, Argentina - Lagos, Nigeria - Nairobi, Kenya - Mumbai, India - Jakarta, Indonesia
The primary objective of IDEAtlas is 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.
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