3D Imaging and Analysis for Atmospheric Monitoring of Anthropogenic Sources
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Environmental Sensing".
Deadline for manuscript submissions: 20 November 2026 | Viewed by 134
Special Issue Editor
Interests: geography; environmental science; environmental science/air pollution; 3D visualisation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
There are many types of sensors available on the market for detecting and monitoring anthropogenic air pollution. These include low-cost sensors (LCS), electrochemical cells (EC), and metal-oxide semiconductors (MOS) for monitoring emissions such as NO2, O3, SO2, H2S, NO, and CO. Increasingly, such tools use AI-based correction to provide higher-resolution data. In addition, laboratory-based techniques offer a greater understanding/characterisation of pollutants such as PM10s, PM2.5s and even radioactive elements, using laser-based technologies and 3D imaging. At different scales, satellites can detect trace gases (e.g., NASA’s TEMPO) from space and track their sources. The results of such monitoring, measurement, and modelling impact urban planning and management at a variety of scales, from local to regional. Our understanding of the health impacts of such pollutants on populations has increased significantly in recent years, though many aspects remain unclear. One such example is the impact of microplastics in the environment and on human and animal health. Is there a link, for example, between the concentration of microplastics in the organs of the body and the development of inflammation and cancer? This Special of Sensors aims to bring together novel papers on the 3D characterisation, measurement, and monitoring of a wide range of anthropogenic pollutants in our environment. This includes using 3D data to develop appropriate practices and policies to minimise impacts.
To aid potential contributors, the following list outlines potential areas of interest. Note that this list is not exhaustive, and the editors will consider any relevant submissions that they feel fall under the above description.
Air quality assessments, mapping, and forecasting
- Tracking atmospheric motion
- Aerosols, clouds, and dusts
- Dust-polluted environments.
- Anthropogenic sources
- Volcanic ash cloud modelling, monitoring, characterisation, risks
Airborne PM10 and PM2.5s, health impacts
- 3D imaging of particulate matter, roadside, railway/transport systems
- Microplastics in the atmosphere
- 3D imaging of microplastics
- TWP – suspended tyre wear particles
3D imaging of the environment
- AI-enabled analysis
- GIS mapping
- Satellite imaging
- Optical remote sensing
- Instrumentation
3D real-time atmospheric monitoring
- Doppler LiDAR, LiDAR, and uncertainty quantification
Prof. Dr. Gavin Gillmore
Guest Editor
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Keywords
- anthropogenic air pollution
- air quality assessments
- PM10 and PM2.5
- gas sensors
- 3D imaging
- LiDAR
- GIS mapping
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