The Spatiotemporal Distribution of NO<sub>2</sub> in China Based on Refined 2DCNN-LSTM Model Retrieval and Factor Interpretability Analysis

The Spatiotemporal Distribution of NO<sub>2</sub> in China Based on Refined 2DCNN-LSTM Model Retrieval and Factor Interpretability Analysis

With the advancement of urbanization in China, effective control of pollutant emissions and air quality have become important goals in current environmental management. Nitrogen dioxide (NO<sub>2</sub>), as a precursor of tropospheric ozone and fine particulate matter, plays a significan...

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Bibliographic Details
Main Authors: Ruming Chen, Jiashun Hu, Zhihao Song, Yixuan Wang, Xingzhao Zhou, Lin Zhao, Bin Chen
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Remote Sensing
Subjects:
nitrogen oxide retrieval
2DCNN-LSTM
machine learning
factor interpretability
Online Access:https://www.mdpi.com/2072-4292/15/17/4261

Internet

https://www.mdpi.com/2072-4292/15/17/4261

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