Estimating Surface PM2.5 Using Satellite Data and Other Information Sources
- Start Date:
- July 8, 2026
- Description:
- This training covers the theoretical approaches and key datasets for estimating the near-surface concentration of particulate matter smaller than 2.5 micrometers in diameter (PM2.5) by using satellite aerosol optical depth (AOD) and other data sources (including ground-based monitors and model estimates). Participants will acquire knowledge about different methodologies, and their strengths and limitations, for inferring surface PM2.5 from satellite AOD. They will be able to identify access methods for using existing datasets of surface PM2.5 estimated from satellite sensors and other data sources. They will also learn how to compare satellite-based estimates of PM2.5 to in situ measurement data through hands-on coding exercises using a generic code template and suitable co-location methodology. This would be the first step in evaluating the suitability of these datasets for the users’ applications and regions.
- Targeted Audience:
- Researchers looking to use surface air quality estimates derived from satellites and looking to better understand the methodologies and limitations Air quality managers seeking to understand the potential for satellites to supplement ground-based monitors in remote areas
- Host:
- NASA Applied Remote Sensing Training Program (ARSET)
- Format/Training Type:
- Webinar
- Language:
- English, Spanish
- Attendance:
- Open
- Qualifications:
Satellite Skills and Knowledge
- Contact Name:
- Brock Blevins
- Contact Email:
- brock.blevins@nasa.gov
- Fees:
- No
- Link:
- https://www.earthdata.nasa.gov/learn/trainings/estimating-surface-pm2.5-using-satellite-data-other-information-sources
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