China PM2.5 Dataset - Global Marine Ecological Data

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Information

Producer	Second Institute of Oceanography (SIO)
Data type	Remote Sensing
Dataset abbreviation	PM2.5
Temporal extent	2018.1.1–2022.12.31
Processing level	L3B
Spatial extent	Eastern and central China
Spatial resolution	1°×1°
Temporal resolution	Daily
Projection	WGS 84

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Description

With the implementation of the 2018-2020 Clean Air Action Plan, air pollution emissions in central and eastern China have decreased significantly. Combining satellite remote sensing data, meteorological reanalysis data, and ground observation data, we built a machine learning (ML) model to predict the daily average PM2.5 concentration in eastern China during 2018-2022.

The remote sensing dataset of daily PM2.5 in China can provide remote sensing products of daily mean PM2.5 concentration in eastern China. The time span of this product is 2018-2022, the spatial resolution is 1°×1°, and the time resolution is the daily average. This product can provide data support for Chinese atmospheric environmental quality assessment.

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Naming Convention

SIO_SNPP_VIIRS_YYYYMMDDTOYYYYMM _L3B_China_PM2.5

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Reference

[1] Song, Z.; Bai, Y.; Wang, D.; Li, T.; He, X. Satellite Retrieval of Air Pollution Changes in Central and Eastern China during COVID‐19 Lockdown Based on a Machine Learning Model. Remote Sens. 2021, 13, 2525. https://doi.org/10.3390/ rs13132525.

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