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Advanced Remote Sensing Techniques in Application of Air Quality and...
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Advanced Remote Sensing Techniques in Application of Air Quality and Climate Study

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Atmospheric Techniques, Instruments, and Modeling".

Deadline for manuscript submissions: 20 July 2025 | Viewed by 1646

Special Issue Editors

Dr. Longlong Wang

E-Mail Website
Guest Editor
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430072, China
Interests: lidar techniques; aerosol properties; air pollution; atmospheric turbulence
Special Issues, Collections and Topics in MDPI journals
Dr. Haoyang Fu

E-Mail Website
Guest Editor
School of Physics and Electronic Information, Zhejiang Normal University, Jinhua 321004, China
Interests: atmospheric remote sensing; atmospheric radiative transfer
Dr. Tingting Zhou

E-Mail Website
Guest Editor
School of Physics and Electronic Information, Zhejiang Normal University, Jinhua 321004, China
Interests: remote sensing
Dr. Daru Chen

E-Mail Website
Guest Editor
Hangzhou Institute of Advanced Studies, Zhejiang Normal University, Jinhua 321004, China
Interests: fiber laser; fiber sensor; photonic crystal fiber; micro-structured optical fiber
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Air quality issues are still highly concerning as they have a confirmed impact on human health, meteorology, and climate change, as well as their interactions, in particular in the megacities, where anthropogenic emissions are one of the main sources of atmospheric pollution. Advanced remote sensing observations with the different platforms, including lidar, in situ instruments, MODIS, Himawari/AHI, GEOS/ABI, and novel retrieval algorithms, can provide high temporal resolution of regional and global scale air pollutant emissions and their transportation range; thus, it is important to understand how much uncertainty is brought by the variability in spatial and temporal dispersion of the pollutants, which can help making efficient emission policies and assessing the emission policies for urban air pollution mitigation. These observations have also been employed to further the understanding of impacts of air pollutants on clouds or the planetary boundary layer (PBL), as well as regional or even global climate changes by human-driven processes.

This Special Issue entitled “Advanced Remote Sensing Techniques in Application of Air Quality and Climate Study” aims to report any contributions on instrument development, the newly developed retrieval algorithm, along with their applications or observations for aerosols, pollution gasses such as NOx and SO2 processes, and their impact on climate, as well as their interactions with the PBL. Both comprehensive reviews and research articles on techniques and observations are sincerely welcomed to submit contributions that include, but are not limited to, the following topics:

  • Novel instruments, measurement methods, and algorithms;
  • Air pollutant emissions, transport, and removal;
  • Climate impacts of regional emissions;
  • Air pollutants-planetary boundary layer (PBL) interactions;
  • Spaceborne, airborne, shipborne, and ground-based observations for aerosol and greenhouse gasses;
  • Combination of observations and modeling campaigns of wildfires, dust storms, and extreme air pollution.

Dr. Longlong Wang
Dr. Haoyang Fu
Dr. Tingting Zhou
Dr. Daru Chen
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. Atmosphere is an international peer-reviewed open access monthly 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 2400 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

  • air pollution
  • aerosols
  • clouds
  • climate
  • remote sensing observation

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Published Papers (2 papers)

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17 pages, 3410 KiB  
Article
The Aerosol Optical Depth Retrieval from Wide-Swath Imaging of DaQi-1 over Beijing
by Zhongting Wang, Ruijie Zhang, Ruizhi Chen and Hui Chen
Atmosphere 2024, 15(12), 1476; https://doi.org/10.3390/atmos15121476 - 10 Dec 2024
Viewed by 833
Abstract
The Wide-Swath Imaging (WSI) sensor is a Chinese satellite launched in 2022, capable of providing data at resolutions ranging from 75 to 600 m for monitoring aerosols, fire points, and dust, among other uses. In this study, we developed a Dark Dense Vegetation [...] Read more.
The Wide-Swath Imaging (WSI) sensor is a Chinese satellite launched in 2022, capable of providing data at resolutions ranging from 75 to 600 m for monitoring aerosols, fire points, and dust, among other uses. In this study, we developed a Dark Dense Vegetation method to retrieve the Aerosol Optical Depth (AOD) quickly from WSI 600 m data. First, after splitting into three types according to the Normalized Difference Vegetation Index (NDVI), we calculated the empirical parameters of land reflectance between the red (0.65 μm) and blue (0.47 μm) channels using Moderate Resolution Imaging Spectroradiometer (MODIS) reflectance products over the Beijing area. Second, the decrease in the NDVI was simulated and analyzed under different AODs and solar zenith angles, and we introduced an iterative inversion approach to account for it. The simulation retrievals demonstrated that the iterative inversion produced accurate results after less than four iterations. Thirdly, we utilized the atmospherically corrected NDVI for dark target identification and output the AOD result. Finally, retrieval experiments were conducted using WSI 600 m data collected over Beijing in 2023. The retrieved AOD images highlighted two air pollution events occurring during 3–8 March and 27–31 October 2023. The inversion results in 2023 showed a strong correlation with Aerosol Robotic Network station data (the correlation coefficient was greater than 0.9). Our method exhibited greater accuracy than the MODIS aerosol product, though it was less accurate than the Multi-Angle Implementation of Atmospheric Correction product. Full article
(This article belongs to the Special Issue Advanced Remote Sensing Techniques in Application of Air Quality and Climate Study)
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13 pages, 6138 KiB  
Technical Note
Detection of Atmospheric NO2 Using Scheimpflug DIAL with a Blue External Cavity Diode Laser Source
by Cheng Yao, Weixuan Luo, Anping Xiao, Xiqing Peng, Bin Zhang, Longlong Wang, Qiang Ling, Yan Zhou, Zuguang Guan and Daru Chen
Atmosphere 2025, 16(2), 138; https://doi.org/10.3390/atmos16020138 - 27 Jan 2025
Viewed by 433
Abstract
Nitrogen dioxide (NO2) is broadly acknowledged as one of the six key air pollutants, posing a significant threat to environmental stability and human health. The profile of atmospheric nitrogen dioxide is required for quantifying NO2 emissions from fossil fuel combustion [...] Read more.
Nitrogen dioxide (NO2) is broadly acknowledged as one of the six key air pollutants, posing a significant threat to environmental stability and human health. The profile of atmospheric nitrogen dioxide is required for quantifying NO2 emissions from fossil fuel combustion and industry. In continuous-wave differential absorption lidar (CW-DIAL) systems, the laser sources employed are subject to the issues of varying output characteristics and poor instability. This study presents a CW-DIAL system for remote sensing of atmospheric NO2 that employs a compact grating-based external cavity diode laser (ECDL) and Scheimpflug imaging. The laser in this system utilizes a piezoelectric transducer (PZT) for precise wavelength tuning, emitting at 448.1 nm and 449.7 nm with an output power of 2.97 W and a narrow linewidth of 0.16 nm. Signal capturing was achieved through a Newtonian telescope with a diameter of 200 mm and a 45° inclined CCD image sensor, satisfying the Scheimpflug principle. A case study near road traffic was used to verify the feasibility of ECDL-DIAL, which took place from 1 October to 2 October 2023 over an industrial park. The system generates precise NO2 distribution maps with sub-50 m resolution over 3 km, updating every 10 min. Full article
(This article belongs to the Special Issue Advanced Remote Sensing Techniques in Application of Air Quality and Climate Study)
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