Most air pollution is measured at a city level, but air quality can change block by block, hour by hour and day to day. To better understand air quality on a more local level, we began working with our partner Aclima — to map air pollution across California using Google Street View cars—equipped with air quality sensors.  Earlier this year, we shared the the first results of this effort with pollution levels throughout the city of Oakland.

We're just beginning to understand what's possible with this hyper-local information and today, we’re starting to share some of our findings for the three California regions we’ve mapped: the San Francisco Bay Area, Los Angeles, and California’s Central Valley (the Street View cars drove 100,000 miles, over the course of 4,000 hours to collect this data!) Scientists and air quality specialists can use this information to assist local organizations, governments, and regulators in identifying opportunities to achieve greater air quality improvements and solutions.

Over 195 nations will gather in Bonn for the COP23 UN Climate Climate Change conference this week. Rising to the climate challenge will involve a  mix of policy, technology and international cooperation and we believe that insights about air quality at the community level can help support both local and global action on climate. Below we’ve highlighted some of our findings for these regions. 

Over a three month period, our Street View cars mapped air quality in different areas of Los Angeles, ranging from urban to residential, inland to the Pacific Ocean, and areas near major freeways, ports, or refineries. The measurements indicate that traffic-choked freeways, traffic on local streets, and weather patterns that blow pollution inland all influence the patterns of air pollution.

Compared to Los Angeles, the San Francisco Bay Area, which we mapped over the past two years, is a higher density city. A large percentage of air pollution emissions comes from vehicles like cars, trucks, and construction equipment, and industrial sources like refineries and power plants added to the mix. The measurements here indicate street-level pollution patterns are affected by these local and distributed sources.

While much of California’s Central Valley is rural with a lot of agriculture, it’s also home to cities, such as Fresno, Bakersfield, Stockton, and Modesto. Interstate 5 and Interstate 99 are two major traffic corridors that run through the region, connecting Northern and Southern California. Interstate and regional traffic, along with industry and agriculture, are sources of air pollution in the region. Weather conditions and topography can trap air pollution between the coast and the Sierra Nevada mountains resulting in a chronic ozone and particulate matter levels that exceed public health standards.

So far, we’ve measured over one billion air quality data points but this is just the beginning—and now air quality scientists can request access to the data. Air quality impacts our planet and our health—and we hope this information helps us build smarter more sustainable cities, reduce climate changing greenhouse gases and improve air quality for healthier living.

Tune in to Aclima’s blog for more data stories from our California driving campaign in the coming days and weeks.

How hot will it be today? What is the traffic for my commute to work? Where’s the nearest grocery store? Every day we use data about the world around us to make decisions. One useful dataset is air pollution data, which contains much-needed information that can help us understand how to live healthier lives, build smarter and more sustainable cities, and reduce climate-changing greenhouse gases in both urban and rural areas.

Today, with our partners at Environmental Defense Fund (EDF) and Aclima, we’re sharing the first results of an endeavor we started in 2015: to measure air quality using Aclima equipment mounted on Google Street View cars. You can now see maps for Oakland, CA, released by EDF, of nitric oxide (NO), nitrogen dioxide (NO2) and black carbon—pollutants emitted from cars, trucks and other sources that can affect our health and our climate.

Zooming in, you can see street-level details that show how pollution can change block by block. For example, the area where the Bay Bridge meets the I-80, a major freeway, has sustained higher pollution levels due to vehicles speeding up to cross under I-80 and merge onto the bridge. These insights can help community groups like the West Oakland Environmental Indicators Project get a better understanding of local air quality and assist regulators like the Bay Area Air Quality Management District in identifying opportunities to achieve greater air quality improvements. This kind of information can also be applied to other cities, who are trying to understand local air quality patterns and implement solutions that improve the local environment.

We hope Bay Area residents use this resource to explore air quality in Oakland, and find out how you can do your part to improve it. Scientists can request access to the validated data now. You can also learn more about the science behind these maps in the journal Environmental Science & Technology, authored by a scientific team led by Dr. Joshua Apte, at the University of Texas-Austin.

Today’s news follows our 2014 project with EDF to map methane leaks, and our 2015 announcement with Aclima to map air quality in Los Angeles, San Francisco and the Central Valley communities. We’re excited to share the data that made this science possible with more researchers.

With nearly 3 million measurements and 14,000 miles captured in the course of a year, this is one of the largest air quality datasets ever published, and demonstrates the potential of  neighborhood-level air quality mapping. This map makes the invisible, visible, so that we can breathe better and live healthier. It helps us understand how clean (or not clean) our air is, so that we can make changes to improve it.