Atmospheric Pollen/Fungus Remote Sensing
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Atmospheric Remote Sensing".
Deadline for manuscript submissions: closed (31 May 2019) | Viewed by 9276
Special Issue Editors
Interests: optical remote sensing; remote sensing; lidar; optics; aerosols; mineral dust; pollen; aerosol-cloud interactions; radiative forcing; shortwave; longwave; satellite sensors; transport modeling
Special Issues, Collections and Topics in MDPI journals
Interests: aerobiology; pollen; fungal spores; allergens; allergies; atmospheric transport; climate change; public health; phytopathology
Interests: model development; verification and comparison with measurements; data assimilation; statistical methodology for model validation; analysis of the measurement data; inverse and adjoint dispersion modeling; computer experiments
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Biogenic aerosols play a vital yet poorly understood role in the physical processes of the atmosphere, interactions with clouds, and climate forcing. Pollen and fungus allergenicity has adverse effects on human health and wellness. The transport of biogenic aerosols facilitates gene dispersion and can prove to be a significant factor in vegetation adaptation to climate change. It is thus of great public and scientific interest to increase our knowledge of bioaerosol behaviour in the atmosphere (sources, emissions, the processes involved during transport, etc.). This Special Issue of Remote Sensing on atmospheric bioaerosols should address all topics related to their detection in the atmosphere (from the surface up into the atmospheric column) in order to improve our understanding of the release and dispersion of these aerosol types. Transport and forecast modelling exercises of their dispersion on local and/or large scales, including observations, are also appropriate.
Dr. Michaël Sicard
Dr. Jordina Belmonte
Prof. Mikhail Sofiev
Guest Editors
Manuscript Submission Information
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Keywords
- Remote sensing
- Airborne Pollen And Fungi
- Atmospheric Release
- Atmospheric Dispersion
- Forecast
- Transport
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