Ramani Huria Community Flood Mapping
This overview was generated with AI from the public sources listed below and checked against them before publication. It has not had a complete human fact-check — treat it as a starting point and follow the sources.
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The funded programme ended in 2020. The 450,000 buildings that roughly 470 students and Red Cross volunteers put on OpenStreetMap are still what disaster response works from.
what does this mean?
The strongest source is the operator's or the city's own reporting — an official report, dataset or press release. It grades who did the looking — not how well the project went. All four grades →Part of 1001 Smart Cities — 1,167 documented projects · 🏙️ 1 more in Dar es Salaam · 🌊 Flood resilience guide · 📡 Data & IoT projects
Ramani Huria ('open map' in Swahili) trained roughly 470 university students and hundreds of Red Cross volunteers to map flood-prone Dar es Salaam onto OpenStreetMap using smartphones, drones and street-view surveys. Between 2015 and 2020 it mapped about 49 of the city's 90 wards and some 450,000 buildings, and the city's multi-agency emergency team DarMAERT still uses the flood atlases in disaster response. OMDTZ, the local NGO that grew out of the project, said in a September 2025 retrospective that rapid urban growth has left parts of the map outdated, and that it keeps patching OpenStreetMap through volunteer mapathons rather than a funded successor programme.
📊 Impact
Mapped ~49 of 90 wards (about half the city), ~450,000 buildings and ~1,700 schools to OpenStreetMap (2015-2020); data absorbed by national statistics and disaster-management bodies.
🎓 Lesson
The lasting value was the open dataset itself: community-generated maps outlived the funded programme and fed into national statistics and disaster-response planning.
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📎 Cite this project
1001 Smart Cities (2026). “Ramani Huria Community Flood Mapping” — Dar es Salaam, Tanzania. The Smart City Atlas. https://1001smartcities.org/projects/dar-es-salaam-ramani-huria/ (last verified 2026-08-07). Data: CC BY 4.0.
The underlying data is free to reuse with attribution — see the open data page.