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Advances in Remote Sensing Observation of Aerosol Properties and Assessment of Their Effects

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

Deadline for manuscript submissions: 15 October 2025 | Viewed by 735

Special Issue Editors

School of Space Information, Space Engineering University, Beijing 101416, China
Interests: aerosol observation; calibration; polarization remote sensing

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Guest Editor
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
Interests: quantitatively intelligent remote sensing and atmospheric correction of high resolution imagery
Special Issues, Collections and Topics in MDPI journals
State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China
Interests: cloud and aerosol optical properties; atmospheric optics and remote sensing detection
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Beijing Institute of Satellite Information Engineering, Beijing 100094, China
Interests: atmospheric sounding; remote sensing big data

Special Issue Information

Dear Colleagues,

Aerosols are a crucial component of the atmosphere, significantly impacting climate change, air pollution, material transport, and ecological environments. Most aerosols have universal characteristics, including the regional distribution of sources, variability of properties, and short lifetimes. The rapid development of the economy and society, coupled with strong environmental actions by governments, has led to significant changes in the optical, physical, and chemical properties of aerosols. For instance, seasonal meteorological conditions can determine the transport of aerosols from their sources as well as their vertical distribution through the atmosphere. During the processes of drying or deposition, cloud processes and atmospheric chemical reactions can further alter the properties of aerosols. The anthropogenic emissions of aerosols and precursor gases have a significant impact on aerosols, both in terms of chemical and physical properties as well as optical properties, and their effects can be enhanced by the transport of aerosols from other places, such as biomass burning aerosols and dust particles emitted from deserts. Therefore, obtaining the spatial distribution of aerosol parameters on a large scale or even a global scale based on satellite remote sensing is very important.

In this Special Issue, we focus on the use of remote sensing measurement techniques, including satellite-, aircraft- and ground-based measurements, to study the spatiotemporal variation characteristics of aerosol properties in key global regions. The goal is to provide a valuable resource for the community by organizing the latest contributions to the study of aerosol properties.

We are soliciting contributions on the optical, physical, and chemical properties of aerosols inferred from remote sensing observations and related optical techniques, as well as the spatiotemporal variations in these properties in key regions, emphasizing the processes leading to such observed differences, including the influence of meteorological conditions and large-scale weather systems. In short, all contributions that enhance our understanding of aerosol properties are all welcome.

Dr. Kaitao Li
Dr. Xingfeng Chen
Dr. Lei Li
Dr. Donghui Li
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 optical, physical, and chemical properties
  • remote sensing observations
  • simulation and inversion
  • environmental, health, and climate assessment
  • spatiotemporal distribution
  • contributing factor analysis

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Published Papers (1 paper)

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Research

24 pages, 58618 KiB  
Article
Multispectral Land Surface Reflectance Reconstruction Based on Non-Negative Matrix Factorization: Bridging Spectral Resolution Gaps for GRASP TROPOMI BRDF Product in Visible
by Weizhen Hou, Xiong Liu, Jun Wang, Cheng Chen and Xiaoguang Xu
Remote Sens. 2025, 17(6), 1053; https://doi.org/10.3390/rs17061053 - 17 Mar 2025
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Abstract
In satellite remote sensing, mixed pixels commonly arise in medium- and low-resolution imagery, where surface reflectance is a combination of various land cover types. The widely adopted linear mixing model enables the decomposition of mixed pixels into constituent endmembers, effectively bridging spectral resolution [...] Read more.
In satellite remote sensing, mixed pixels commonly arise in medium- and low-resolution imagery, where surface reflectance is a combination of various land cover types. The widely adopted linear mixing model enables the decomposition of mixed pixels into constituent endmembers, effectively bridging spectral resolution gaps by retrieving the spectral properties of individual land cover types. This study introduces a method to enhance multispectral surface reflectance data by reconstructing additional spectral information, particularly in the visible spectral range, using the TROPOMI BRDF product generated by the Generalized Retrieval of Atmosphere and Surface Properties (GRASP) algorithm. Employing non-negative matrix factorization (NMF), the approach extracts spectral basis vectors from reference spectral libraries and reconstructs key spectral features using a limited number of wavelength bands. The comprehensive test results show that this method is particularly effective in supplementing surface reflectance information for specific wavelengths where gas absorption is strong or atmospheric correction errors are significant, demonstrating its applicability not only within the 400–800 nm range but also across the broader spectral range of 400–2400 nm. While not a substitute for hyperspectral observations, this approach provides a cost-effective means to address spectral resolution gaps in multispectral datasets, facilitating improved surface characterization and environmental monitoring. Future research will focus on refining spectral libraries, improving reconstruction accuracy, and expanding the spectral range to enhance the applicability and robustness of the method for diverse remote sensing applications. Full article
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