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...
Main Authors: | Zhou Zang, Dan Li, Yushan Guo, Wenzhong Shi, Xing Yan |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-07-01
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Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/13/14/2779 |
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