Near-Surface NO<sub>2</sub> Concentration Estimation by Random Forest Modeling and Sentinel-5P and Ancillary Data

Near-Surface NO<sub>2</sub> Concentration Estimation by Random Forest Modeling and Sentinel-5P and Ancillary Data

In the present study, a daily model is proposed for estimating the near-surface NO<sub>2</sub> concentration in China, combining for the first time the Random Forest (RF) machine learning algorithm with the tropospheric NO<sub>2</sub> columns from the TROPOspheric Monitoring...

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Bibliographic Details
Main Authors: Meixin Li, Ying Wu, Yansong Bao, Bofan Liu, George P. Petropoulos
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Remote Sensing
Subjects:
Random Forest
NO<sub>2</sub>
TropOMI
near-surface pollution
remote sensing
Online Access:https://www.mdpi.com/2072-4292/14/15/3612

Internet

https://www.mdpi.com/2072-4292/14/15/3612

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