Share your air quality data publicly with OpenMap
Enhance public awareness by sharing real-time air quality insights through an accessible, interactive map. Transform complex environmental data into a transparent resource for your entire community.
Trusted for real-world wildfire monitoring by air quality leaders
Don’t just take our word for it – leading organizations across North America are already using our air quality monitoring equipment to guard against wildfire smoke. Here are a few examples of how our customers have deployed Clarity for wildfire monitoring:
The information we get from the Clarity sensors and the air health monitoring has helped us shape a lot of what we're doing under our sustainability pillar. Having access to this data helps us in one of our key objectives for the city, which is to attract residents to the city in the future.”
“We're a nonprofit, so we don't have a ton of capacity to mess around with tech. Clarity devices are easy to deploy and solar-powered, so you can put them in parks, on rooftops, wherever — and they just work. We can focus on working with our community members.”
"The devices worked and the data was much better than other low-cost sensor data — Clarity pays attention to and cares about trying to get as accurate data as possible.”
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“The Know Your Air Network provides us with vital air quality information that can be used to inform real-time decisions to protect the health and well-being of our school communities. This air quality sensor network is unparalleled in its size and scope, demonstrating Los Angeles Unified’s commitment to providing the safest learning environment for our students.”
"The Node-S is solar powered, has impressive battery life, and transmits data via cellular network. That means we could put these monitors anywhere that the sun shines and you can make a cell call. After the Marshall fire we installed a total of 22 monitors in the burn area. "
"Clarity provided an off-the-shelf solution that was easy to deploy. Clarity Nodes are easy to set up and after reviewing a co-location we had in place, the data was in line with our expectations. The flexibility in changing the data capture rate was key — I was able to remotely configure the nodes to collect data at a higher or lower resolution as needed."
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