A High-Performance Convolutional Neural Network for Ground-Level Ozone Estimation in Eastern China

A High-Performance Convolutional Neural Network for Ground-Level Ozone Estimation in Eastern China

Having a high-quality historical air pollutant dataset is critical for environmental and epidemiological research. In this study, a novel deep learning model based on convolutional neural network architecture was developed to estimate ground-level ozone concentrations across eastern China. A high-re...

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Bibliographic Details
Main Authors: Sichen Wang, Yanfeng Huo, Xi Mu, Peng Jiang, Shangpei Xun, Binfang He, Wenyu Wu, Lin Liu, Yonghong Wang
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Remote Sensing
Subjects:
ground-level ozone
deep learning
convolutional neural network
Online Access:https://www.mdpi.com/2072-4292/14/7/1640

Internet

https://www.mdpi.com/2072-4292/14/7/1640

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