To identify and address the scale of the air pollution problem requires access to vast amounts of data. A coverage not yielded by current monitoring approaches. Hawa Dawa’s IoT air quality sensors and sophisticated software modelling provide a much higher level of temporal and spatial granularity in the measurement of pollutants. Using Sentinel-2, -3, -5p and -5 data helps in the production of pollution maps across the entire spatial spectrum from coarse (regional) to high (traffic pollutants), helping unlock new revenue streams and enabling the integration of the new commodity of environmental data with other smart city datasets (mobility, health). Applying this new, hyperlocal data taps into the global EUR 149 billion smart transport market, in particular eco-sensitive, dynamic traffic management, and supports measures to reduce harmful GHG emissions.
Hawa Dawa’s Heatmap: a tool designing for smart cities, © Hawa Dawa
Our data helps visualise the distribution of air pollution and its connection to urban mobility, helping customers design responsive local measures to improve air quality. Our real-time, granular data forms the basis of decision making for smart transport and health management.
“Air quality is one of the major challenges in urban areas. The future of air quality monitoring could be shaped by this year’s winner of the BMVI Digital Transport Challenge. HawaDawa can provide the right tools to support policy makers in future planning” – Christiane Hohmeister, Federal Ministry of Transport and Digital Infrastructure
Matt Fullerton, Birgit Fullerton, Karim Tarraf