Full-coverage high-resolution daily PM2.5 estimation using MAIAC AOD in the Yangtze River Delta of China

• Published in: Remote sensing of environment Vol. 199; pp. 437 - 446
• Main Authors: Xiao, Qingyang, Wang, Yujie, Chang, Howard H., Meng, Xia, Geng, Guannan, Lyapustin, Alexei, Liu, Yang
• Format: Journal Article
• Language: English
• Published: New York Elsevier Inc 15.09.2017; Elsevier BV
• Subjects: Accuracy; Aerosol effects; Aerosol optical depth; Aerosols; Air pollution; Atmospheric correction; Atmospheric models; Chemical transport; Chemical transport model (CTM); China; Cloud cover; Cloud fraction; Computer simulation; exposure assessment; Gap filling; High resolution; Land use; MAIAC; Mathematical models; Meteorology; monitoring; Multiple imputation; Optical analysis; Particulate emissions; Particulate matter; particulates; PM2.5; prediction; Reflectance; remote sensing; river deltas; Rivers; Satellites; Snow cover; snowpack; space and time; Statistical models; Studies; Water depth; Yangtze River; Yangtze River Delta; Yangtze River; China; Gap filling; Chemical transport model (CTM); MAIAC; Multiple imputation; PM2.5; Cloud fraction

Satellite aerosol optical depth (AOD) has been used to assess population exposure to fine particulate matter (PM2.5). The emerging high-resolution satellite aerosol product, Multi-Angle Implementation of Atmospheric Correction (MAIAC), provides a valuable opportunity to characterize local-scale PM2....