Methods for Characterizing Fine Particulate Matter Using Ground Observations and Remotely Sensed Data: Potential Use for Environmental Public Health Surveillance-Reference-Cited by-同舟云学术

Methods for Characterizing Fine Particulate Matter Using Ground Observations and Remotely Sensed Data: Potential Use for Environmental Public Health Surveillance

Published:2009-07 Issue:7 Volume:59 Page:865-881
ISSN:1096-2247
Container-title:Journal of the Air & Waste Management Association
language:en
Short-container-title:Journal of the Air & Waste Management Association

Author:

Al-Hamdan Mohammad Z.¹,Crosson William L.¹,Limaye Ashutosh S.¹,Rickman Douglas L.²,Quattrochi Dale A.²,Estes Maurice G.¹,Qualters Judith R.³,Sinclair Amber H.⁴,Tolsma Dennis D.⁴,Adeniyi Kafayat A.⁵,Niskar Amanda Sue⁶

Affiliation:

1. a Global Hydrology and Climate Center , Universities Space Research Association, National Aeronautics and Space Administration, Marshall Space Flight Center, National Space Science and Technology Center , Huntsville , AL , USA

2. b Global Hydrology and Climate Center , Earth Science Office, National Aeronautics and Space Administration, Marshall Space Flight Center, National Space Science and Technology Center , Huntsville , AL , USA

3. c Centers for Disease Control and Prevention , National Center for Environmental Health , Atlanta , GA , USA

4. d Center for Health Research/Southeast (Kaiser Permanente) , Atlanta , GA , USA

5. e Northrop Grumman , Atlanta , GA , USA

6. f Fusion Cell, Office of Preparedness and Emergency Operations, Office of the Assistant Secretary for Preparedness and Response, U.S. Department of Health & Human Services , Washington , DC , USA

Publisher

Informa UK Limited

Subject

Management, Monitoring, Policy and Law,Waste Management and Disposal

Link

https://www.tandfonline.com/doi/pdf/10.3155/1047-3289.59.7.865

Reference11 articles.

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3. Wang, J.; Christopher, S.A. Intercomparison between Satellite-Derived Aerosol Optical Thickness and PM2.5Mass: Implications for Air Quality Studies;Geophys. Res. Lett.2003,30, 2095; doi: 10.1029/2003/GL018174.

4. Rush, A.; Dougherty, J.; Engel-Cox, J. Correlating Seasonal Averaged In Situ Monitoring of Fine PM with Satellite Remote Sensing Data Using Geographic Information System (GIS). Presented at the 49th Annual Meeting of the International Society for Optical Engineering, August 2–6, 2004, Denver, CO.

5. Liu, Y.; Franklin, M.; Kahn, R.; Koutrakis, P. Using Aerosol Optical Thickness to Predict Ground-Level PM2.5Concentrations in the St. Louis Area: a Comparison between MISR and MODIS;Remote Sens. Environ.2007,107, 33-44.

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