When floodwaters cut off swaths of southern Mozambique in January 2026, volunteers and professional mappers produced the situational maps relief teams needed within days. Those maps overlaid flood inundation, population density, health facilities and helicopter flight radii to guide where to deliver food, medicines and medical evacuations—work that depended on open map data and volunteer networks built over more than a decade. ([esri.com](https://www.esri.com/about/newsroom/arcwatch/volunteers-deliver-lifesaving-maps-during-mozambique-floods))
That kind of rapid, life‑saving work is exactly the aim of the Humanitarian OpenStreetMap Team (HOT) and allied projects. HOT’s recent impact report documents a different but related achievement: through its Tasking Manager—an online platform that coordinates volunteer mapping—HOT has “mapped an area home to 933.6 million people,” putting the organization close to an audacious goal of mapping an area home to one billion people by 2026. Those maps are used by responders, planners and local communities who need up‑to‑date spatial data for everything from flood response to local planning. ([cdn.hotosm.org](https://cdn.hotosm.org/website/2023-2024-ImpactReport_2025Updated.pdf))
Why open maps matter now
Open, community‑created maps matter because much of the world’s infrastructure and informal settlements have long been under‑mapped. When disasters strike, responders need a reliable base map to identify which villages are cut off, where clinics and water points are located, and what routes remain passable. Volunteer mapping fills that gap quickly—often before official surveys or commercial mapping products are available—and it is reusable by governments, NGOs and local residents. The Mozambique response shows how open basemaps combined with local reporting and humanitarian coordination speed decisions in a fast‑moving emergency. ([esri.com](https://www.esri.com/about/newsroom/arcwatch/volunteers-deliver-lifesaving-maps-during-mozambique-floods))
New tools: drones, open imagery and AI that learns locally
Part of the recent progress comes from better tools that lower the barriers to contributing high‑quality data. OpenAerialMap functions as an open repository where licensed aerial and drone imagery can be found and used by volunteers and organizations; it helps supply the high‑resolution pictures that mappers trace to create building and road footprints. ([map.openaerialmap.org](https://map.openaerialmap.org/?trk=public_post-text&utm_source=openai))
HOT has also invested in community‑friendly tools. Its Drone Tasking Manager coordinates drone flights so local operators can add high‑resolution imagery to open repositories, and a field mapping app (FMTM) makes it easier to collect local knowledge in a structured way. Perhaps most notable is fAIr, HOT’s AI‑assisted mapping tool: HOT reports that fAIr reached a public release milestone in 2024 and supported community users in automatically predicting building footprints from open aerial imagery—an efficiency boost that still requires local validation. Those tools are being designed to keep communities in control of how models are trained and used. ([cdn.hotosm.org](https://cdn.hotosm.org/website/2023-2024-ImpactReport_2025Updated.pdf))
From volunteers to trained local capacity
Volunteer mapathons and remote tracing still play a crucial role, but the sector has deliberately shifted toward strengthening local capacity. HOT’s network of regional Hubs, grants and training programs aim to put mapping skills in the hands of people who live in the places being mapped. The result is not only more rapid responses to disasters but also better baseline maps for climate adaptation, health planning and local development decisions. HOT’s report highlights thousands of trainees and hundreds of community partners who have expanded local mapping capacity in recent years. ([cdn.hotosm.org](https://cdn.hotosm.org/website/2023-2024-ImpactReport_2025Updated.pdf))
Real-world impact
The Mozambique floods are just one example of how these maps are used. In crises around the world, organizations such as MapAction, the UN’s coordination bodies and local authorities combine open basemaps from OpenStreetMap with field reports, satellite imagery and volunteer work to build situational awareness. That combination—open data, volunteer mapping, and professional GIS teams—creates a flexible response toolset that can be deployed at scale. ([esri.com](https://www.esri.com/about/newsroom/arcwatch/volunteers-deliver-lifesaving-maps-during-mozambique-floods))
Beyond emergencies, open mapping projects have informed everything from vaccine campaigns to urban planning in rapidly growing cities. When communities are visible on maps, they are more likely to be counted in assessments, receive tailored services, and participate in planning that affects their neighborhoods.
Challenges and guardrails
The momentum is real, but the work faces challenges. Open projects must balance speed with accuracy, protect privacy and sensitive locations, and ensure local consent in mapping activities. HOT’s technical work—tools such as fAIr and DroneTM—emphasizes community control, and humanitarian actors stress verification: AI predictions and volunteer traces are meaningful only after quality checks and local validation. ([cdn.hotosm.org](https://cdn.hotosm.org/website/2023-2024-ImpactReport_2025Updated.pdf))
Funding and sustainable support are also ongoing concerns. Many mapping groups rely on grants and short‑term project funding; sustaining mapping infrastructure, training programs and imagery repositories requires continual investment. But the evidence from recent responses suggests that even modest investments in open mapping yield outsized returns when disasters hit or planning decisions are urgent.
What’s next
As more imagery becomes openly available and AI tools become easier to use responsibly, the next phase will likely emphasize local ownership: enabling communities to run drone surveys, train tailored AI models, and maintain up‑to‑date local maps that serve both day‑to‑day planning and emergency response. The combination of volunteers, professional GISers and community mappers has turned an otherwise invisible global landscape into a shared public good—one that can make the difference between a slow, chaotic response and a coordinated, life‑saving one. ([cdn.hotosm.org](https://cdn.hotosm.org/website/2023-2024-ImpactReport_2025Updated.pdf))
