National-scale estimates of ground-level PM2.5 concentration in China using geographically weighted regression based on 3 km resolution MODIS AOD

Remote Sensing

Volumn 8, Issue 3, 2016, Pages

  You, Wei ^a   Zang, Zengliang ^a   Zhang, Lifeng ^a   Li, Yi ^a   Pan, Xiaobin ^a   Wang, Weiqi ^a  

^a PLA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Aerosol optical depth; Air pollution; Geographically weighted regression; MODIS; PM2.5

Indexed keywords

AEROSOLS; AIR POLLUTION; ATMOSPHERIC AEROSOLS; HEALTH RISKS; LEARNING ALGORITHMS; MEAN SQUARE ERROR; OPTICAL PROPERTIES; POLLUTION; RADIOMETERS; REGRESSION ANALYSIS; RISK ASSESSMENT; RISK PERCEPTION; SATELLITE IMAGERY;

AEROSOL OPTICAL DEPTHS; GEOGRAPHICALLY WEIGHTED REGRESSION; GEOGRAPHICALLY WEIGHTED REGRESSION MODELS; HIGH SPATIAL RESOLUTION; MODIS; PM2.5; RESIDENTIAL COMMUNITIES; ROOT MEAN SQUARED ERRORS;

SCALES (WEIGHING INSTRUMENTS);

EID: 84962520280     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs8030184     Document Type: Article

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