Emission-Based Machine Learning Approach for Large-Scale Estimates of Black Carbon in China

Emission-Based Machine Learning Approach for Large-Scale Estimates of Black Carbon in China

Tremendous efforts have been made to construct large-scale estimates of aerosol components. However, Black Carbon (BC) estimates over large spatiotemporal scales are still limited. We proposed a novel approach utilizing machine-learning techniques to estimate BC on a large scale. We leveraged a comp...

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Bibliographic Details
Main Authors: Ying Li, Sijin Liu, Reza Bashiri Khuzestani, Kai Huang, Fangwen Bao
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Remote Sensing
Subjects:
machine learning
emission inventories
black carbon
remote sensing
spatial distribution
Online Access:https://www.mdpi.com/2072-4292/16/5/837

Internet

https://www.mdpi.com/2072-4292/16/5/837

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