Prediction of daily fine particulate matter concentrations using aerosol optical depth retrievals from the Geostationary Operational Environmental Satellite (GOES)-Reference-Cited by-同舟云学术

Prediction of daily fine particulate matter concentrations using aerosol optical depth retrievals from the Geostationary Operational Environmental Satellite (GOES)

Published:2012-06-07 Issue:9 Volume:62 Page:1022-1031
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:

Chudnovsky Alexandra A.¹,Lee Hyung Joo¹,Kostinski Alex²,Kotlov Tanya¹,Koutrakis Petros¹

Affiliation:

1. a Department of Environmental Health , Harvard School of Public Health , Boston , MA , USA

2. b Department of Physics , Michigan Technological University , Houghton , MI , USA

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/10962247.2012.695321

Reference20 articles.

1. Recommendations on the Use of Satellite Remote-Sensing Data for Urban Air Quality

2. Integrating lidar and satellite optical depth with ambient monitoring for 3-dimensional particulate characterization

3. Satellite remote sensing of particulate matter and air quality assessment over global cities

4. Remote Sensing of Particulate Pollution from Space: Have We Reached the Promised Land?

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