Developing a community-led geo-spatial database for mapping deprived urban areas (e.g., informal settlements) that supports the decision making process for displacement socio-economic reconstruction in Khartoum, Sudan.
Khartoum, Sudan
African Population and Health Research Center
Université Libre de Bruxelles (ULB)
Sudan Urban Development Think Tank
Federal Ministry of Social Development, Sudan
Federal Ministry of Transport, Sudan
Ministry of Physical Planning, Khartoum State, Sudan
Dutch Ministry of Foreign Affairs - Nuffic
This training aims to map and fill the gaps in the government of Sudan institutional and technical capacities, required to create a comprehensive database on displacement patterns and informal settlements in Khartoum, and support political governance in form of decision making processes for displacement durable, sustainable and resilient solutions.
IDEAMAP Sudan worked collaboratively with local governments and civil society organisations, providing training on the use of digital maps produced from satellite imagery to map urban deprived areas /informal settlements, and link the geospatial data collected with community-based data and data from capacity and vulnerability assessments, creating an understanding of displacement challenges and opportunities associated with urban development and socio-economic reconstruction reforms in Sudan.
Learn more about IDEAMAP Sudan:
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).
· Buenos Aires, Argentina
· Lagos, Nigeria
· Nairobi, Kenya
· Dhaka, Bangladesh
with more cities to be included as the project progresses.
DEPRIMAP - Unraveling the dynamics of deprived urban areas in the Majority World using AI and Earth Observation to foster evidence-based sustainable planning
DEPRIMAP aims to map, model, and analyze deprived urban areas (DUAs) in the Majority World using advanced geospatial data and machine learning techniques. The project focuses on understanding the socio-economic vulnerabilities and environmental risks faced by DUAs contributing to more resilient and sustainable urban planning.
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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