How Important Is Satellite-Retrieved Aerosol Optical Depth in Deriving Surface PM<sub>2.5</sub> Using Machine Learning?

How Important Is Satellite-Retrieved Aerosol Optical Depth in Deriving Surface PM<sub>2.5</sub> Using Machine Learning?

PM<sub>2.5</sub> refers to the total mass concentration of tiny particulates in the atmosphere near the surface, obtained by means of in situ observations and satellite remote sensing. Given the highly limited number of ground observation stations of inhomogeneous distribution and an ill...

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Detaylı Bibliyografya
Asıl Yazarlar: Zhongyan Tian, Jing Wei, Zhanqing Li
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: MDPI AG 2023-07-01
Seri Bilgileri:Remote Sensing
Konular:
machine learning
AOD
PM<sub>2.5</sub> retrieval
station density
importance assessment
Online Erişim:https://www.mdpi.com/2072-4292/15/15/3780

Internet

https://www.mdpi.com/2072-4292/15/15/3780

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