Satellite Observations for Particulate Matter and Gaseous Pollutants Research
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Atmospheric Remote Sensing".
Deadline for manuscript submissions: 28 March 2025 | Viewed by 419
Special Issue Editors
Interests: aerosol and PM2.5 polarimetry
Special Issues, Collections and Topics in MDPI journals
Interests: air pollutants; satellite remote sensing
Interests: remote sensing; atmospheric modeling
Special Issue Information
Dear Colleagues,
Atmospheric components, such as aerosols and gases, affect Earth’s climate and environment in various ways. Among them, particulate matters (e.g., PM1, PM2.5, and PM10) and gaseous pollutants are key elements that affect air quality and Earth–atmosphere radiation balance and are thus of great interest in various research fields. Monitoring aerosol and gaseous pollutants, as well as understanding their interactions, is crucial for both environmental governance and climate change mitigation.
Satellite signals from the reflected solar radiation or reception of emitted radiation (such as lasers and microwaves) passing through the atmosphere are altered by the presence of particulate matters and gaseous pollutants simultaneously. Thus, satellite observations can be used to derive the amount, volume, and characteristics of these atmospheric components and thus become an important topic in atmospheric remote sensing. Furthermore, an increasing number of satellite instruments have been deployed in orbit or are being designed to monitor aerosol and gaseous pollutants. However, the absorption spectra of gaseous pollutants and aerosols may partially overlap, and it is still challenging to derive them simultaneously with high accuracy from satellite observations.
This Special Issue is directed at studies covering different aspects related to satellite remote sensing of atmospheric particulate matters, gaseous pollutants, and their interactions. We welcome papers focusing on the development of remote sensing retrieval algorithms and/or applications of remote sensing datasets with respect to aerosols, PM2.5, PM10, gaseous pollutants, and their interactions.
- Remote sensing of aerosol and particulate matters;
- Remote sensing of gaseous pollutants;
- Interactions of particulate matters and gaseous pollutants based on satellite observations.
Prof. Dr. Zhengqiang Li
Dr. Jintai Lin
Dr. Cheng Chen
Dr. Yan Yu
Guest Editors
Manuscript Submission Information
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Keywords
- particulate matters
- gaseous pollutants, such as SO2, NO2, O3, etc.
- aerosol and chemical compositions
- satellite observation
- interaction
- PM2.5, PM10, PM1, and dust
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