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Aerosol Remote Sensing from Space, Ground or Computers
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Aerosol Remote Sensing from Space, Ground or Computers

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Atmospheric Remote Sensing".

Deadline for manuscript submissions: 31 October 2026 | Viewed by 770

Special Issue Editors

Prof. Dr. Makiko Nakata

E-Mail Website
Guest Editor
Faculty of Applied Sociology, Kindai University, Higashiosaka 577-8502, Japan
Interests: aerosols; satellite; air quality
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Sonoyo Mukai

E-Mail Website
Guest Editor
School of Applied Information Technology, The Kyoto College of Graduate Studies for Informatics, Kyoto 606-8225, Japan
Interests: radiative transfer; aerosol remote sensing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Aerosol remote sensing refers to the measurement and analysis of the physical and optical properties of solid or liquid particles (aerosols) suspended in the atmosphere from remote locations using satellites, aircraft, ground sensors, and other technologies. Aerosols originate from diverse sources including sea salt, volcanic ash, soil dust, wildfire smoke, and anthropogenic substances. Understanding their distribution and properties is critically important for the global environment, regional environments, living environments, and individual ecosystems, as they significantly impact climate change, air quality, and human health.

The fundamental principle of remote sensing lies in utilizing light scattering and absorption by aerosols. Sensors capture signals altered by the interaction of radiation from sources such as sunlight with the atmosphere and the Earth's surface. These signals are analyzed based on radiative transfer models to infer aerosol properties—including concentration, size distribution, shape, chemical composition, and vertical distribution.

Observation data is utilized for elucidating climate change mechanisms, monitoring air pollution, monitoring forest fires and volcanic eruptions, and assessing the impacts on human health.

This Special Issue broadly welcomes research papers not only on aerosol remote sensing data analysis but also on new ideas, future perspectives, and sensing technology development.

Prof. Dr. Makiko Nakata
Prof. Dr. Sonoyo Mukai
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 250 words) can be sent to the Editorial Office for assessment.

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
  • air pollution
  • sea salt
  • volcanic ash
  • soil dust
  • biomass burning
  • bioaerosol

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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Research

21 pages, 17421 KB  
Article
Long-Term Remote Sensing of Three-Dimensional Structure and Vertical Transport of Dust Aerosols over the Qaidam Basin
by Si Chen, Qing He, Lu Zhang and Jinglong Li
Remote Sens. 2026, 18(12), 1977; https://doi.org/10.3390/rs18121977 (registering DOI) - 14 Jun 2026
Abstract
This study explores the three-dimensional structure of dust aerosols over the Qaidam Basin using CALIPSO satellite observations from 2007 to 2022. The results show that polluted dust is the dominant aerosol type in this region. Dust activity peaks in spring, with its vertical [...] Read more.
This study explores the three-dimensional structure of dust aerosols over the Qaidam Basin using CALIPSO satellite observations from 2007 to 2022. The results show that polluted dust is the dominant aerosol type in this region. Dust activity peaks in spring, with its vertical extent reaching nearly 10 km. Dust Aerosol Optical Depth (DAOD) is relatively high in the northwest and central parts of the basin, with a spring peak of 0.25 and an autumn minimum of 0.12. DAOD has shown a notable decreasing trend over the past 16 years. In terms of vertical structure, dust aerosols are mainly concentrated below 4 km AGL, especially within the near-surface layer of 0–2 km, and their occurrence frequency declines as altitude increases. The dust layer thickness exhibits obvious seasonal variations, which are primarily controlled by changes in layer top height. The average thickness decreases from 1.53 km in spring to 0.61 km in winter, while the layer’s bottom height remains fairly stable. Analysis based on the LASSO-SHAP model indicates that potential evapotranspiration and friction velocity are the major factors affecting DAOD, highlighting the vital roles of surface dryness and near-surface dynamic forcing. Furthermore, investigation of typical dust events reveals distinct vertical stratification of dust transport. Low-level dust movement is restricted by basin terrain, whereas upper levels are governed by the westerlies. This study improves our understanding of the three-dimensional structure, seasonal evolution, and transport processes of dust aerosols in high-altitude arid basins. Full article
(This article belongs to the Special Issue Aerosol Remote Sensing from Space, Ground or Computers)
19 pages, 3928 KB  
Article
Particle Size Characteristics at the Top of Biomass Burning Plumes Based on Two Case Studies
by Makiko Nakata, Sonoyo Mukai and Souichiro Hioki
Remote Sens. 2026, 18(5), 747; https://doi.org/10.3390/rs18050747 - 1 Mar 2026
Viewed by 395
Abstract
Biomass burning aerosols (BBA) released from large-scale wildfires pose a serious threat worldwide, necessitating a comprehensive understanding of their plume characteristics. To address this challenge, this study used satellite data provided by the Second-generation Global Imager (SGLI) aboard the Global Change Observation Mission-C [...] Read more.
Biomass burning aerosols (BBA) released from large-scale wildfires pose a serious threat worldwide, necessitating a comprehensive understanding of their plume characteristics. To address this challenge, this study used satellite data provided by the Second-generation Global Imager (SGLI) aboard the Global Change Observation Mission-C and regional-scale numerical chemical transport model (CTM) simulations to characterize BBA plumes. The SGLI data and CTM simulations were compared and verified, and the 3D characteristics of BBA plumes, including concentration, diffusion range, spatial variation in optical properties, plume top height, and vertical profile, were subsequently derived. In this study, we focused on large-scale forest fires that occurred in western North America in September 2020 and Indonesia in September 2019. In both cases, Aerosol optical thickness (AOT) and Ångström Exponent (AE) values show a positive correlation with the height of the BBA plume top. The results showed that the higher the BBA plume top, the thicker the plume and the smaller the aerosol size. This point is what we particularly wish to highlight in this study. The SGLI polarization data proved useful for characterizing the upper layers of the BBA plumes. By understanding the detailed characteristics at the top of the plume, it is possible to predict the BBA plume’s advection and lifetime. Full article
(This article belongs to the Special Issue Aerosol Remote Sensing from Space, Ground or Computers)
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