Comparison of Four Ground-Level PM2.5 Estimation Models Using PARASOL Aerosol Optical Depth Data from China

Comparison of Four Ground-Level PM2.5 Estimation Models Using PARASOL Aerosol Optical Depth Data from China

Satellite remote sensing is of considerable importance for estimating ground-level PM2.5 concentrations to support environmental agencies monitoring air quality. However, most current studies have focused mainly on the application of MODIS aerosol optical depth (AOD) to predict PM2.5 concentrations,...

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Bibliographic Details
Main Authors: Hong Guo, Tianhai Cheng, Xingfa Gu, Hao Chen, Ying Wang, Fengjie Zheng, Kunshen Xiang
Format: Article
Language:English
Published: MDPI AG 2016-01-01
Series:International Journal of Environmental Research and Public Health
Subjects:
PM2.5 concentrations
fine-mode aerosol
polarized remote sensing
air quality monitoring
empirical models
Online Access:http://www.mdpi.com/1660-4601/13/2/180

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