Earth Observation for Mapping Margins
With the global slum/informal settlement population now estimated to exceed 1 billion — and a significantly more acute situation in low- and middle-income countries (LMICs) — there is a pressing need to systematically monitor the spatial and temporal dynamics of such deprived neighbourhoods and assess the exposure of their vulnerable communities to multiple hazards. Despite its significance, this remains a substantially under-researched domain.
The primary scientific objective of this two-year research project is to exploit the capabilities of Earth Observation (EO) and Artificial Intelligence (GeoAI)
to develop methodologies for characterizing the evolution of urban settlements with informal morphologies, assessing their population dynamics, and quantifying multi-hazard exposure over time.
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On May 24 2025
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On May 24 2025, by Sabine Vanhuysse
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