Superior PM<sub>2.5</sub> Estimation by Integrating Aerosol Fine Mode Data from the Himawari-8 Satellite in Deep and Classical Machine Learning Models

Superior PM<sub>2.5</sub> Estimation by Integrating Aerosol Fine Mode Data from the Himawari-8 Satellite in Deep and Classical Machine Learning Models

Artificial intelligence is widely applied to estimate ground-level fine particulate matter (PM<sub>2.5</sub>) from satellite data by constructing the relationship between the aerosol optical thickness (AOT) and the surface PM<sub>2.5</sub> concentration. However, aerosol size...

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Bibliographic Details
Main Authors: Zhou Zang, Dan Li, Yushan Guo, Wenzhong Shi, Xing Yan
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Remote Sensing
Subjects:
AOT
fine mode aerosol
Himawari-8
PM<sub>2.5</sub> estimation
Online Access:https://www.mdpi.com/2072-4292/13/14/2779

Internet

https://www.mdpi.com/2072-4292/13/14/2779

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