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...

Deskribapen osoa

Xehetasun bibliografikoak
Egile Nagusiak: Zhongyan Tian, Jing Wei, Zhanqing Li
Formatua: Artikulua
Hizkuntza:English
Argitaratua: MDPI AG 2023-07-01
Saila:Remote Sensing
Gaiak:
machine learning
AOD
PM<sub>2.5</sub> retrieval
station density
importance assessment
Sarrera elektronikoa:https://www.mdpi.com/2072-4292/15/15/3780

Internet

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

Antzeko izenburuak