Enhancing the Applicability of Satellite Remote Sensing for PM2.5 Estimation Using MODIS Deep Blue AOD and Land Use Regression in California, United States-Reference-Cited by-同舟云学术

Enhancing the Applicability of Satellite Remote Sensing for PM2.5 Estimation Using MODIS Deep Blue AOD and Land Use Regression in California, United States

Published:2016-06-09 Issue:12 Volume:50 Page:6546-6555
ISSN:0013-936X
Container-title:Environmental Science & Technology
language:en
Short-container-title:Environ. Sci. Technol.

Author:

Lee Hyung Joo¹²,Chatfield Robert B.²,Strawa Anthony W.³

Affiliation:

1. NASA Postdoctoral Program, NASA Ames Research Center, Moffett Field, California 94035, United States

2. Earth Sciences Division, NASA Ames Research Center, Moffett Field, California 94035, United States

3. New Pursuits Office, NASA Ames Research Center, Moffett Field, California 94035, United States

Funder

National Aeronautics and Space Administration

Publisher

American Chemical Society (ACS)

Subject

Environmental Chemistry,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.est.6b01438

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3. Modeling temporal and spatial variability of traffic-related air pollution: Hourly land use regression models for black carbon

4. Spatiotemporal Land Use Regression Models of Fine, Ultrafine, and Black Carbon Particulate Matter in New Delhi, India

5. Qualitative and quantitative evaluation of MODIS satellite sensor data for regional and urban scale air quality

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