Comparison of Different Missing-Imputation Methods for MAIAC (Multiangle Implementation of Atmospheric Correction) AOD in Estimating Daily PM<sub>2.5 </sub>Levels

Comparison of Different Missing-Imputation Methods for MAIAC (Multiangle Implementation of Atmospheric Correction) AOD in Estimating Daily PM<sub>2.5 </sub>Levels

The immense problem of missing satellite aerosol retrievals (Aerosol Optical Depth, (AOD)) detrimentally affects the prediction ability of ground-level PM<sub>2.5</sub> concentrations and may lead to unavoidable biases. An appropriate missing-imputation method has not been well developed...

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Bibliographic Details
Main Authors: Zhao-Yue Chen, Jie-Qi Jin, Rong Zhang, Tian-Hao Zhang, Jin-Jian Chen, Jun Yang, Chun-Quan Ou, Yuming Guo
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Remote Sensing
Subjects:
machine learning
aerosol optical depth
missing replacement
short-term
PM2.5
Online Access:https://www.mdpi.com/2072-4292/12/18/3008

Internet

https://www.mdpi.com/2072-4292/12/18/3008

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