Estimating ground-level PM2.5 concentrations in Beijing using a satellite-based geographically and temporally weighted regression model

Remote Sensing of Environment

Volumn 198, Issue , 2017, Pages 140-149

  Guo, Yuanxi ^a   Tang, Qiuhong ^a,b   Gong, Dao Yi ^c   Zhang, Ziyin ^d  

^a INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^c BEIJING NORMAL UNIVERSITY   (China)

^d NATIONAL CLIMATE CENTER   (China)

Author keywords

Aerosol optical depth; Beijing; Geographically and temporally weighted regression; MODIS; PM2.5

Indexed keywords

AEROSOLS; AIR POLLUTION; AIR QUALITY; ATMOSPHERIC AEROSOLS; IMAGE RECONSTRUCTION; LAND USE; LINEAR REGRESSION; OPTICAL PROPERTIES; PARTICLES (PARTICULATE MATTER); POLLUTION; RADIOMETERS; SATELLITE IMAGERY; SATELLITES;

AEROSOL OPTICAL DEPTHS; BEIJING; GEOGRAPHICALLY WEIGHTED REGRESSION MODELS; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; MODIS; MULTIPLE LINEAR REGRESSION MODELS; SPATIAL AND TEMPORAL VARIABILITY; WEIGHTED REGRESSION;

REGRESSION ANALYSIS;

AERODYNAMICS; AEROSOL; AIR QUALITY; AMBIENT AIR; CONCENTRATION (COMPOSITION); ESTIMATION METHOD; MODIS; OPTICAL DEPTH; PARTICULATE MATTER; PERFORMANCE ASSESSMENT; SATELLITE DATA; TEMPORAL VARIATION;

BEIJING [CHINA]; CHINA;

EID: 85020426668     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2017.06.001     Document Type: Article

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