Evidence map›Paper›PMID 41073689›Full record

ArticleJournal of exposure science & environmental epidemiology2026

Exposures to combustion sources near military operations in Iraq and Afghanistan using satellite observations.

Meredith Franklin, Xiaozhe Yin, Anna Korpak, Paul D Blanc, Petros Koutrakis, Eric Garshick

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Article in Journal of exposure science & environmental epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Meredith FranklinDepartment of Statistical Sciences and School of the Environment, University of Toronto, Toronto, ON, Canada. meredith.franklin@utoronto.ca.ORCID http://orcid.org/0000-0003-3802-8829
Xiaozhe YinDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Anna KorpakU.S. Department of Veterans Affairs, Seattle Epidemiologic Research and Information Center, VA Puget Sound Health Care System, Seattle, WA, USA.
Paul D BlancU.S. Department of Veterans Affairs, VA Healthcare System San Francisco, San Francisco, CA, USA.
Petros KoutrakisDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Eric GarshickU.S. Department of Veterans Affairs, VA Healthcare System Boston, Boston, MA, USA.

Funding

CSP VA CSP 595
6 · The paper itself

Abstract

backgroundU.S. military personnel deployed to Afghanistan and Iraq were stationed on bases impacted by airborne hazards including emissions from combustion sources. Due to limited environmental monitoring during military operations, exposure levels remain poorly characterized.

objectiveWe used satellite observations to identify the locations and persistence of combustion sources on and near military bases in Afghanistan and Iraq from 2002 to 2012, the peak period of open-air combustion.

methodsDaily fire detections from the Moderate Resolution Imaging Spectroradiometer (MODIS) were clustered using density-based methods to identify persistent burning within 5 km of bases. Validation was conducted using military imagery and Google Earth. A sensitivity analysis compared MODIS fire detections to those from the newer Visible Infrared Imaging Spectroradiometer (VIIRS) at a civilian burn pit in Djibouti.

resultsMODIS detected 285,810 fires in Iraq and 3702 in Afghanistan. Clustering identified 398 bases in Iraq and 122 in Afghanistan with burning nearby. In Iraq, persistent clusters were linked to oil and gas flares, while smaller clusters on bases in both countries were consistent with burn pits. MODIS and VIIRS both detected the Djibouti burn pit, but VIIRS recorded three times more fire detections, highlighting its sensitivity in detecting biomass and waste burning. IMPACT: This study is the first to use satellite fire detections to objectively map and quantify combustion sources at U.S. military bases in Iraq and Afghanistan during 2002-2012. By applying density-based clustering to MODIS data and validating with high-resolution imagery, we identified persistent burning patterns near and on bases. This approach overcomes the limitations of self-reported exposure data and provides a reproducible framework for assessing deployment-related combustion exposures. The findings highlight both the utility and limitations of MODIS and demonstrate the potential of satellite observations for Veteran health research.

Indexed as

Air PollutantsEnvironmental ExposureEnvironmental MonitoringFiresMilitary PersonnelSatellite ImageryAfghan Campaign 2001-AfghanistanHumansIraqIraq War, 2003-2011Open Waste BurningUnited StatesAir PollutantsCombustion-related exposuresMilitary deploymentOccupational exposuresRemote sensingVeteran health

Identifiers

PMID41073689
PMCPMC12637216

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.