Retrieval of Fine-Grained PM2.5 Spatiotemporal Resolution Based on Multiple Machine Learning Models

Retrieval of Fine-Grained PM2.5 Spatiotemporal Resolution Based on Multiple Machine Learning Models

Due to the country’s rapid economic growth, the problem of air pollution in China is becoming increasingly serious. In order to achieve a win-win situation for the environment and urban development, the government has issued many policies to strengthen environmental protection. PM2.5 is the primary...

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Bibliographic Details
Main Authors: Peilong Ma, Fei Tao, Lina Gao, Shaijie Leng, Ke Yang, Tong Zhou
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Remote Sensing
Subjects:
air pollution
PM2.5 retrieval
fine-grained spatiotemporal resolution
machine learning algorithms
remote sensing
Online Access:https://www.mdpi.com/2072-4292/14/3/599

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