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Your search keyword '"Millet, Dylan B."' showing total 12 results
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12 results on '"Millet, Dylan B."'

3. Remote sensing of exposure to NO2: satellite versus ground based measurement in a large urban area

Author

Millet Dylan B., Bechle Matthew J., and Marshall Julian D.

Subjects
geography, geography.geographical_feature_category, Ambient air pollution, Air pollution, Large urban area, Urban area, medicine.disease_cause, Remote sensing (archaeology), Satellite remote sensing, medicine, General Earth and Planetary Sciences, Environmental science, Spatial variability, Satellite, General Environmental Science, Remote sensing
Abstract

Background: Satellite remote sensing may be a powerful and useful tool for exploring spatial variability of air pollution within an urban area, particularly in countries or areas where direct measu...

Published
2013

4. Environmental injustice and inequality: NO2 air pollution in the United States

Author

Marshall Julian D., Clark Lara, Bechle Matthew J., and Millet Dylan B.

Subjects
Equity (economics), Ambient air pollution, Inequality, media_common.quotation_subject, Air pollution, medicine.disease_cause, Injustice, Air pollution in the United States, Geography, Environmental health, medicine, General Earth and Planetary Sciences, Socioeconomic status, General Environmental Science, media_common
Abstract

Background: Communities with lower socioeconomic status often have higher exposure to air pollution and higher susceptibility to air pollution health impacts. Aim: To describe and compare environme...

Published
2013

5. High resolution NO2 and PM10 models for Europe using satellite-derived measurements

Author

Hoek Gerard, van Donkelaar Aaron, Millet Dylan B., Bechle Matthew J., Martin Randall V., de Hoogh Kees, Marshall Julian D., Danielle Vienneau, Beelen Rob, and Novotny Eric V.

Subjects
Ambient air pollution, Air pollution, medicine, General Earth and Planetary Sciences, Environmental science, High resolution, Satellite, Land use regression, medicine.disease_cause, General Environmental Science, Remote sensing
Abstract

Background: Land use regression (LUR) models have been successfully used to assess air pollution exposures at a variety of spatial scales. This paper explores the potential for improved continental...

Published
2013

6. Monthly national satellite-based land-use regression of NO2 in the United States for 2000 - 2010

Author

Millet Dylan B., Bechle Matthew J., and Marshall Julian D.

Subjects
Meteorology, Ambient air pollution, Air pollution, medicine, General Earth and Planetary Sciences, Environmental science, Satellite, Land use regression, medicine.disease_cause, General Environmental Science
Abstract

Background: Land use regression (LUR) is widely used for estimating within-urban variability in air pollution, typically at the urban level and for long-term averages. LUR techniques have recently ...

Published
2013

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