Ambee provides air quality historical data with street-level granularity. This data is collected from multiple satellites and on-ground sensors and validated to solve air pollution and minimize climate risks. Ambee’s historical AQI data is globally validated and follows US EPA standards.
Make your patient care and treatment better by understanding the historical air quality trends.
Utilize historical AQ data for marketing campaigns and hyper-targeted your ads to the relevant audience.
Assess future risks to your business due to poor air quality by combining historic air quality data with real-time and forecast data.
Integrate historical AQ data into your innovative products and services and make the lives of your customers healthier.
Along with historical AQI levels, the air quality data also offers intelligence for criteria air pollutants and other gases. Make the most out of parameters that matter.
Here’s how these companies have made strides using Ambee’s data
Historical air quality data refers to information collected over time about the level of various pollutants in the air. This data is typically gathered through air quality monitoring stations located throughout a given region. Historical air quality data can be used to identify trends in pollution levels, measure the effectiveness of pollution control efforts, and inform policy decisions related to air quality.
Historical AQI (Air Quality Index) data is typically collected and analyzed through air quality monitoring stations that are located throughout a given region. These monitoring stations collect data on various air pollutants. The data collected is then used to calculate the AQI for each pollutant, as well as an overall AQI for the region. At Ambee, we utilze a multimodal system to collecting and analyzing AQI data. We combine the data collected from our proprietary on-ground sensors with satellite data, computer models, and other sources of information to provide a more complete picture of air quality trends over time. This data is then processed via AI and ML technologies to provide the most accurate result.
Air quality can have significant impacts on our health. Exposure to air pollution, which contains harmful particles and gases, can lead to a range of health problems, both short-term and long-term. Short-term effects of air pollution exposure can include irritation of the eyes, nose, and throat, headaches, dizziness, and fatigue. It can also aggravate existing conditions such as asthma and allergies, causing symptoms such as coughing and wheezing. Long-term exposure to air pollution has been linked to more serious health problems, including chronic respiratory diseases such as chronic obstructive pulmonary disease (COPD), lung cancer, and heart disease.
Ambee’s hyperlocal historical AQ data is scientifically validated and designed by best-in-class developers to exceed industry standards. Ambee’s AI models and machine learning algorithms help provide the data with the highest accuracy.
Yes, historical AQI data can be collected for a specific location. Air quality monitoring stations are typically set up in various locations to measure pollutant concentrations in the air at that location. Additional data from satellite also help in improving the coverage.