Retrieval of Daily PM_2.5 Concentrations Using Nonlinear Methods: A Case Study of the Beijing–Tianjin–Hebei Region, China

Exposure to fine particulate matter (PM_2.5) is associated with adverse health impacts on the population. Satellite observations and machine learning algorithms have been applied to improve the accuracy of the prediction of PM_2.5 concentrations. In this s...

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Bibliographic Details

Published in:	Remote Sensing
Main Authors:	Lijuan Li, Baozhang Chen, Yanhu Zhang, Youzheng Zhao, Yue Xian, Guang Xu, Huifang Zhang, Lifeng Guo
Format:	Article
Language:	English
Published:	MDPI AG 2018-12-01
Subjects:	daily PM<sub>2.5</sub> concentrations remote sensing MODIS AOD machine learning algorithm spatial and temporal distribution
Online Access:	https://www.mdpi.com/2072-4292/10/12/2006