NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Press Enter or click the Search button to begin your search.

Back to Results
Satellite Monitoring for Air Quality and HealthData from satellite instruments provide estimates of gas and particle levels relevant to human health, even pollutants invisible to the human eye. However, the successful interpretation of satellite data requires an understanding of how satellites relate to other data sources, as well as factors affecting their application to health challenges. Drawing from the expertise and experience of the 2016–2020 NASA HAQAST (Health and Air Quality Applied Sciences Team), we present a review of satellite data for air quality and health applications. We include a discussion of satellite data for epidemiological studies and health impact assessments, as well as the use of satellite data to evaluate air quality trends, support air quality regulation, characterize smoke from wildfires, and quantify emission sources. The primary advantage of satellite data compared to in situ measurements, e.g., from air quality monitoring stations, is their spatial coverage. Satellite data can reveal where pollution levels are highest around the world, how levels have changed over daily to decadal periods, and where pollutants are transported from urban to global scales. To date, air quality and health applications have primarily utilized satellite observations and satellite-derived products relevant to near-surface particulate matter <2.5 μm in diameter (PM(sub 2.5)) and nitrogen dioxide (NO2). Health and air quality communities have grown increasingly engaged in the use of satellite data, and this trend is expected to continue. From health researchers to air quality managers, and from global applications to community impacts, satellite data are transforming the way air pollution exposure is evaluated.
Document ID
20230000905
Acquisition Source
2230 Support
Document Type
Reprint (Version printed in journal)
Authors
Tracey Holloway ORCID
(REI Systems Sterling, Virginia, United States)
Daegan Miller
(University of Wisconsin–Madison Madison, Wisconsin, United States)
Susan Anenberg ORCID
(George Washington University Washington D.C., District of Columbia, United States)
Minghui Diao ORCID
(REI Systems Sterling, Virginia, United States)
Bryan Duncan ORCID
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Arlene M Fiore ORCID
(Lamont-Doherty Earth Observatory Sparkill, New York, United States)
Daven K Henze
(University of Colorado Boulder Boulder, Colorado, United States)
Jeremy Hess
(University of Washington Seattle, Washington, United States)
Patrick L Kinney ORCID
(Boston University Boston, Massachusetts, United States)
Yang Liu
(Emory University Atlanta, Georgia, United States)
Jessica L Neu
(Jet Propulsion Lab La Cañada Flintridge, California, United States)
Susan M O'Neill
(REI Systems Sterling, Virginia, United States)
M Talat Odman ORCID
(Georgia Institute of Technology Atlanta, Georgia, United States)
R Bradley Pierce
(University of Wisconsin–Madison Madison, Wisconsin, United States)
Armistead G Russell ORCID
(REI Systems Sterling, Virginia, United States)
Daniel Tong ORCID
(George Mason University Fairfax, Virginia, United States)
J Jason West ORCID
(University of North Carolina at Chapel Hill Chapel Hill, North Carolina, United States)
Mark A Zondlo ORCID
(Princeton University Princeton, New Jersey, United States)
Date Acquired
January 19, 2023
Publication Date
June 1, 2021
Publication Information
Publication: Annual Review of Biomedical Data Science
Publisher: Annual Reviews
Volume: 4
Issue Publication Date: July 1, 2021
e-ISSN: 2574-3414
Subject Category
Environment Pollution
Report/Patent Number
NIHMS1741610
Funding Number(s)
CONTRACT_GRANT: NNX16AQ92G
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
Professional Review
Keywords
Satellites
Air quality
Public health
PM2.5
Ozone
Health impacts
No Preview Available