#Airpollution can change dramatically from one street to the next but most monitoring systems can’t capture that level of detail.
So how do we actually map what people are really breathing?
In #CitiObs we explored how low-cost community sensors + machine learning can unlock high-resolution air quality insights.
So how do you turn noisy, uneven citizen data into something reliable?
Read the full blog to see how it works (below in the comments 👇👇👇)
Air pollution can vary sharply from place to place, both over a city and an entire continent. A busy intersection, a sheltered street canyon, an urban park, or areas downwind of industry can all experience very different levels of pollution than a monitoring station only a few kilometres away. Official air quality monitoring stations provide highly reliable measurements, but they are often too far apart to capture these fine-scale patterns. Citizen science can bridge this gap.
CitiObs