Resources
Tiger Team Members’ Presentations
- Dr. Kinney’s Presentation at HAQAST 3 Meeting: HAQAST Tiger Team: High Resolution Particulate Matter Data for Improved Satellite-Based Assessments of Community Health
- Dr. Freedman’s Presentation at HAQAST 2 Meeting: Developments Towards a Satellite-Informed High Resolution PM2.5 Modelling System
- Other presentations from past meetings: https://haqast.org/get-involved/meetings/
NASA HAQAST
- HAQAST Home Page
https://haqast.org
- HAQAST NASA Tools and Resources
Links to freely available NASA tools
https://haqast.org/nasa-tools/
- Download NASA Data
Links to and instructions for downloading data
https://haqast.org/download-data/
Other NASA Resources
- NASA Applied Remote Sensing Training
https://arset.gsfc.nasa.gov/
- NASA Earth Observatory
https://earthobservatory.nasa.gov/?eocn=topnav&eoci=logo
Other air pollution and health studies
- CEAMS: Citizen-Enabled Aerosol Measurements for Satellites, at Colorado State University
http://csu-ceams.com/
- SPARTAN Global Particulate Matter Network, and the Atmospheric Composition Analysis Group at Dalhousie University
http://spartan-network.weebly.com/
- Tropospheric Emissions: Monitoring of Pollution (TEMPO): http://tempo.si.edu/
- Tropospheric Ozone Assessment Report (TOAR): http://www.igacproject.org/activities/TOAR
- IVAN Air Monitoring Network, Imperial Valley, CA
https://ivan-imperial.org/air
- New York City Community Air Survey (NYCCAS): Studies how pollutants impact air quality in different neighborhoods
https://www1.nyc.gov/site/doh/data/data-publications/air-quality-nyc-community-air-survey.page
- Environment and Health Data Portal: A tool for exploring environmental and health data from New York City
http://a816-dohbesp.nyc.gov/IndicatorPublic/VisualizationData.aspx?id=2117,4466a0,103,Map,Rate-%2018%20Yrs%20and%20Older,2012-2014
Health Data
- 500 Cities: Local Data for Better Health: https://www.cdc.gov/500cities/
- National Environmental Public Health Tracking: https://www.cdc.gov/nceh/tracking/
Recommended Literature
Estimating ground-level PM2.5 concentrations in the Southeastern United States using MAIAC AOD retrievals and a two-stage model. Hu_et_al_2014
