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Special Issue "Air Quality Mapping via Satellite Remote Sensing"

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

Deadline for manuscript submissions: 31 October 2023 | Viewed by 1296

Special Issue Editors

School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing, China
Interests: the source, sink and transport of tropospheric ozone; the impact of meteorological parameters on air quality
Special Issues, Collections and Topics in MDPI journals
School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing, China
Interests: atmospheric chemistry and atmospheric environment; air quality; climate change
Department of Physics, Koneru Lakshmaiah Education Foundation (KLEF), Vaddeswaram, Guntur 522502, Andhra Pradesh, India
Interests: remote sensing of aerosols; air pollution; aerosol radiative forcing; climate change
Lancaster Environment Centre, Lancaster University, Lancaster, UK
Interests: air pollution; urban climate; atmospheric science; atmospheric modelling; remote sensing; GIS
School of Earth Sciences and Resources, Chang’an University, Xi’an 710054, China
Interests: air quality; remote sensing of aerosols; urban air pollution monitoring; particulate matter modelling

Special Issue Information

Dear Colleagues,

Human activities have had significant impacts on the global environment. Rapid economic growth, industrialization, urbanization, and extensive transportation networks have resulted in a substantial deterioration of air quality all over the world. Clean air is an essential requirement for the healthy existence of humans. In view of the health implications of air pollution and the regulations on air quality enacted by various countries and international organizations, it has become important to monitor ambient air quality in order to devise ameliorative strategies to tackle the problem of air pollution. Conventionally, monitoring the ambient air quality at different locations has depended on the information from ground-based observations. However, a major constraint with ground-based observations is that they are location-specific and do not give much information about the spatial distribution of the pollutant being monitored. The emergence of satellite-based methods of monitoring air pollutant levels in the atmosphere during recent decades has been of definite advantage in capturing spatio-temporal air quality trends. The use of satellite remote sensing to map air pollutants along with climatology will improve our understanding of the emission sources and air pollution–climate interaction.

This Special Issue will provide a greater understanding of the distributions and trends in air pollutants, helping us to use models to better understand air pollution problems from scales ranging from urban to regional and global. Further, it will help us to provide a guideline for better air-pollution control policies to improve the health of human beings, as well as that of the Earth’s environment.

This research topic calls for papers that can improve our understanding of the characteristics of air pollution using satellite remote sensing and modelling. Potential research topics include but are not limited to the following:

  • Impacts of meteorological parameters on air pollution;
  • Trends and mechanisms of tropospheric ozone over different atmospheric layers;
  • Regional air quality and climate studies using satellite data;
  • Vertical distribution of aerosol and black carbon;
  • Effect of extreme weather on air quality;
  • Characteristics of dust transport;
  • Urbanization and air pollution climatology;
  • Urban photochemical pollution;
  • Air pollution impacts on human and environmental health.

Dr. Xuewei Hou
Prof. Dr. Bin Zhu
Dr. Kanike Raghavendra Kumar
Dr. Alok Pandey
Dr. Kainan Zhang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at 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 2500 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.


  • air pollution
  • satellite remote sensing
  • atmospheric chemistry
  • aerosols
  • urban climate
  • extreme weather
  • air quality and health
  • climate change
  • air pollution and climate policies

Published Papers (1 paper)

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Characteristics of Optical Properties and Heating Rates of Dust Aerosol over Taklimakan Desert and Tibetan Plateau in China Based on CALIPSO and SBDART
Remote Sens. 2023, 15(3), 607; - 19 Jan 2023
Viewed by 748
The spatial and temporal distributions of dust aerosol and its radiative heating effect over Taklimakan Desert (TD) and Tibetan Plateau (TP) were analyzed using the CALIPSO aerosol products and the SBDART model during 2007–2020. The annual dust aerosol optical depths (DAOD at 532 [...] Read more.
The spatial and temporal distributions of dust aerosol and its radiative heating effect over Taklimakan Desert (TD) and Tibetan Plateau (TP) were analyzed using the CALIPSO aerosol products and the SBDART model during 2007–2020. The annual dust aerosol optical depths (DAOD at 532 nm) ranged from 0.266 to 0.318 over TD and 0.086 to 0.108 over TP, with means of 0.286 ± 0.015 and 0.097 ± 0.006, respectively. The regional mean DAODs of TD (TP) from spring to winter were 0.375 ± 0.020 (0.107 ± 0.010), 0.334 ± 0.028 (0.110 ± 0.010), 0.235 ± 0.026 (0.071 ± 0.008), and 0.212 ± 0.045 (0.083 ± 0.011), respectively. The maximal (minimal) seasonal DAOD of TD appeared in spring (winter), while that of TP appeared in summer (autumn). Although neither the annual nor the seasonal DAODs showed a statistically significant trend over both TD and TP, their yearly fluctuations were apparent, showing coefficients of variation of 0.053 and 0.065 over TD and TP, respectively. The profile of dust extinction coefficient (σD) showed the maximum in spring and summer over TD and TP, respectively. It showed a weak increasing trend of σD over both TD and TP in spring, but a decreasing trend in autumn. The dust of TD is concentrated within 1–4 km, where the annual averaged shortwave (SW) dust heating rates (DHRs) were larger than 2 K·day−1 from March to September. Over TP, the dust heating layer with SW DHR > 2 K·day−1 ranged from 3 to 4 km during March to June. The SW DHR was much larger in spring and summer than in the other two seasons over both regions, with the maximum in spring. A relatively strong dust heating layer with top >5 km appeared along the north slope of the TP, indicating an important energy transport channel from TD to TP, especially in spring and summer. It showed an increasing trend of the SW DHR over both TD and TP in spring and winter, but a decreasing trend in summer and autumn. Over TD, the most powerful heating appeared within 2–4 km, but the strength and the area of high-value DHR reduced from spring to winter. The highest SW DHR of TP appeared over the Qaidam Basin, acting as an important transmission channel of dust and its heating. For the columnar mean of lower than 10 km, the annual mean DHRs of TD and TP were 0.93 and 0.48 K⋅day−1, respectively. Although the DAOD and DHR of TP were both lower, its shortwave dust heating efficiency (DHE) was 1.7 times that of TD, which suggested that the same amount of dust imported to TP could generate a stronger heating effect than it did at the source. Full article
(This article belongs to the Special Issue Air Quality Mapping via Satellite Remote Sensing)
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