Remote Sensing of Atmospheric Aerosols over Asia: Methods and Applications (Third Edition)
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Atmospheric Remote Sensing".
Deadline for manuscript submissions: 20 April 2025 | Viewed by 257
Special Issue Editors
Interests: atmospheric remote sensing; air quality; aerosols; air quality and human health; aerosol classification; aerosol retrievals; remote sensing of land and atmospheric parameters; atmospheric correction of remote sensing data
Special Issues, Collections and Topics in MDPI journals
Interests: geo-informatics; environmental change; landscape change; urban climate; air pollution; climate change; tropical forest ecology; aerosols
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Asia is the most populated region in the world, with vast urban and industrial complexes that continue to grow, extensive vehicle usage, and distinct climatic conditions. Due to all these factors, Asia produces a large number of toxic pollutants that affect human health, climate change, the Earth’s radiation budget, air quality, and atmospheric visibility. Published research has demonstrated that Asia contributes the most to world air pollution; this is caused by the significant increase in aerosol pollutants from both anthropogenic and natural sources. Ground-based and satellite-based remote sensing technologies play a crucial role in the understanding of aerosol sources and types, aerosol radiative forcing, aerosol retrievals, the formation of secondary aerosols, and the estimation of particulate matter.
This Special Issue welcomes the submission articles that present recent advances in remote sensing techniques, new methodologies, and applications with novel scientific contributions for the estimation of particulate matter, the classification of aerosol types, the retrieval of the aerosol optical depth, aerosol radiative forcing, and related topics.
This Special Issue is the third edition of the following Special Issue:
2nd Edition: Remote Sensing of Atmospheric Aerosols over Asia: Methods and Applications II
https://www.mdpi.com/journal/remotesensing/special_issues/RR7DS03DE4.
1st Edition: Remote Sensing of Atmospheric Aerosols over Asia: Methods and Applications
https://www.mdpi.com/journal/remotesensing/special_issues/AeroAsia.
Dr. Muhammad Bilal
Prof. Dr. Janet E. Nichol
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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
- aerosol remote sensing
- air pollution/air quality
- health effects of aerosols
- AOD retrievals
- aerosol classification
- source apportionment
- aerosol radiative forcing
- PMx estimation/prediction
- dust storm climatology
- smoke/haze/smog pollution
- biomass burning aerosols
- trace gases
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