Using satellite remote sensing data to estimate the high-resolution distribution of ground-level PM2.5

Remote Sensing of Environment

Volumn 156, Issue , 2015, Pages 117-128

  Lin, Changqing ^a   Li, Ying ^a   Yuan, Zibing ^a   Lau, Alexis K H ^a   Li, Chengcai ^b   Fung, Jimmy C H ^a  

^a HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

^b PEKING UNIVERSITY   (China)

Author keywords

Fine mode fraction; Hygroscopicity; Mass extinction efficiency; PM2.5; Satellite remote sensing

Indexed keywords

AIR POLLUTION CONTROL; ATMOSPHERIC AEROSOLS; EFFICIENCY; HEALTH RISKS; LIGHT EXTINCTION; REMOTE SENSING; RISK ASSESSMENT; SATELLITES; SIZE DISTRIBUTION; UNCERTAINTY ANALYSIS;

FINE MODE FRACTION; HYGROSCOPICITY; MASS EXTINCTION EFFICIENCY; PM2.5; SATELLITE REMOTE SENSING;

PARTICLES (PARTICULATE MATTER);

AEROSOL; ASSESSMENT METHOD; ENVIRONMENTAL MONITORING; HEALTH RISK; HYGROSCOPICITY; NUMERICAL MODEL; OPTICAL DEPTH; PARTICULATE MATTER; POLLUTION CONTROL; REMOTE SENSING; RESOLUTION; SATELLITE DATA; SIZE DISTRIBUTION; SPATIAL DISTRIBUTION;

CHINA;

EID: 84907935334     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2014.09.015     Document Type: Article

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