Application of Satellite Remote Sensing Technology in Air Pollution Monitoring and Forecasting
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Atmospheric Remote Sensing".
Deadline for manuscript submissions: 15 April 2026 | Viewed by 44
Special Issue Editors
2. Goddard Space Flight Center, NASA, Greenbelt, MD 20771, USA
Interests: air quality monitoring and forecasting; GeoAI; satellite remote sensing; data fusion
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Air pollution is one of the global environmental challenges that directly affects human health, ecosystems, and the climate. Effective monitoring and forecasting of pollutants such as PM2.5, PM10, NO2, O3, and SO2 are essential for understanding spatiotemporal dynamics, supporting regulatory decisions, and guiding mitigation strategies. Satellite remote sensing has become an essential tool in these efforts, providing consistent, wide-area observations of atmospheric composition and new opportunities to capture pollution events at multiple scales. With the rapid development of advanced sensors, multi-satellite constellations, and high-resolution retrieval algorithms, satellite observations are increasingly central to the future of air quality science.
This Special Issue aims to provide a platform for cutting-edge research that leverages satellite remote sensing to advance air quality science. Topics covered range from methodological advances in pollutant retrieval and data fusion to applications in monitoring and forecasting, health assessment, and policy support.
We welcome a wide variety of submissions, including original research articles, methodological papers, case studies, comparative evaluations, and reviews. Suggested themes include, but are not limited to, the following:
- Aerosol and trace gas retrieval (PM10, PM5, NO2, O3, and SO2);
- Validation and intercomparison with ground-based observations;
- Multi-sensor and multi-platform data fusion;
- Spatio-temporal data assimilation and downscaling;
- Machine learning and GeoAI applications;
- Air quality forecasting and early warning systems;
- Multi-pollutant interactions and regional analysis;
- Public health and environmental justice applications;
- Policy and regulatory support based on satellite data.
Dr. Seohui Park
Dr. Sheng-Hsiang (Carlo) Wang
Guest Editors
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- satellite-based air quality monitoring and forecasting
- aerosol and trace gases
- multi-sensor data fusion
- spatio-temporal data assimilation
- machine learning and GeoAI
- remote sensing application in public health
- environmental policy support
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