Comparison of geostatistical interpolation and remote sensing techniques for estimating long-term exposure to ambient PM2.5 concentrations across the continental United States

Seung Jae Lee; Marc L. Serre; Aaron van Donkelaar; Randall V. Martin; Richard T. Burnett; Michael Jerrett

doi:10.1289/ehp.1205006

Comparison of geostatistical interpolation and remote sensing techniques for estimating long-term exposure to ambient PM_2.5 concentrations across the continental United States

Seung Jae Lee, Marc L. Serre, Aaron van Donkelaar, Randall V. Martin, Richard T. Burnett, Michael Jerrett

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	1727-1732
Number of pages	6
Journal	Environmental Health Perspectives
Volume	120
Issue number	12
DOIs	https://doi.org/10.1289/ehp.1205006
Publication status	Published - 2012

ASJC Scopus Subject Areas

Public Health, Environmental and Occupational Health
Health, Toxicology and Mutagenesis

Keywords

Air pollution
Chronic exposure
Geostatistics
PM
Remote sensing

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1289/ehp.1205006

Cite this

Comparison of geostatistical interpolation and remote sensing techniques for estimating long-term exposure to ambient PM_2.5 concentrations across the continental United States. / Lee, Seung Jae; Serre, Marc L.; van Donkelaar, Aaron et al.
In: Environmental Health Perspectives, Vol. 120, No. 12, 2012, p. 1727-1732.

Research output: Contribution to journal › Article › peer-review

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