Using Satellite Data to Tell the Story of Flood Risk in East African Cities

Empower cities to act, raise ambition, and scale implementation
Knowledge-sharing on a specific topic, method, and/or output
Awareness-raising on a specific topic, method, and/or output
Capacity building in climate science data and analyses
Artistic/creative output

Prisicila Adhiambo

Urban and Regional Planner

23 Jun | 10:45–11:10
organization
Mtaa Safi Initiative
country
Kenya
Reference: 
CR3-05
Housing and Infrastructure
Digitalization and Artificial Intelligence (AI)
Creative Narratives (25-minute session)
Conference room 3 (CR3)
Streaming on MS Teams

Summary

Across East Africa, flood risk data exists long before disaster strikes, but rarely reaches the people making planning decisions. This session uses satellite imagery, interactive web maps, and storytelling to trace a flood event through four acts: what the data showed, what planners missed, how accessible geospatial tools can bridge that gap, and what anticipatory city planning could look like.

Drawing on original remote sensing analysis (Landsat/Sentinel-2), NDVI time-series mapping, and community participatory mapping experience in Nairobi, this session addresses GRAA knowledge gaps on climate data translation in rapidly urbanising African cities.

Attendees will leave with a replicable, open-source model for communicating flood risk to non-technical decision-makers across government, civil society, and community groups.

Partners

Organization
Country
Mtaa Safi Initiative
Kenya

Session panelists

Panelist
Role
Organization
Country
Priscila Adhiambo
Geospatial Analyst
Mtaa Safi Initiative
Kenya
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