Advanced Remote Sensing Approaches for Multi-Scale Atmospheric Components Monitoring and Impact Assessment
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 931
Special Issue Editors
2. Nanhu Laser Laboratory, National University of Defense Technology, Changsha 410073, China
Interests: remote sensing; atmosphere; aerosols; geophysics; atmospheric optics; atmospheric radiation; atmospheric pollution; atmospheric modeling; intelligent forecasting
Interests: climatology; atmosphere; meteorology; atmospheric physics; climate change; atmospheric environment; climate assessment
Interests: remote sensing; atmosphere; atmospheric physics; aerosol; cloud atmospheric components; atmospheric optics; atmospheric environments; atmospheric sounding
Interests: radiative transfer; cloud; inverse problems; atmospheric radiation; monte carlo simulation; atmosphere; clouds; meteorology; atmospheric physics; climatology; remote sensing; aerosols
2. Nanhu Laser Laboratory, National University of Defense Technology, Changsha 410073, China
Interests: aerosols; lidar remote sensing; radiative forcing; cloud; atmospheric sciences; polarization; climate change; air quality; detectors; experimental physics; climatology; remote sensing; lidar; clouds; ozone; geophysics; optics; atmospheric physics; cirrus clouds
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Special Issue Information
Dear Colleagues,
Atmospheric components such as aerosols, clouds, and trace gases play pivotal roles in radiative transfer simulations, atmospheric optical propagation effect assessments, and climate change studies. These constituents modulate the Earth’s energy balance through scattering, absorption, and emission processes, directly influencing weather patterns, air quality, and long-term climatic trends. Recent advancements in space- and ground-based active and passive remote sensing technologies—including lidar, hyperspectral imagers, and next-generation spectrometers—have enabled the unprecedented multi-scale monitoring of these components, offering critical insights into their spatiotemporal variability and interactions.
This Special Issue focuses on pioneering, innovative, and fundamental research on advanced retrieval algorithms, multi-source data fusion, multi-scale radiative transfer modeling, and impact assessment methodologies. By integrating cutting-edge observational techniques with theoretical and computational advances, this collection aims to address challenges in characterizing atmospheric dynamics, quantifying uncertainties, and improving predictive capabilities for environmental, climate, and optoelectronic engineering applications. The scope includes, but is not limited to, the following:
- Novel sensor technologies and calibration methods for aerosol, cloud, and trace gas monitoring;
- Advanced retrieval algorithms and modeling techniques to determine multi-scale atmospheric constituent distributions and their microphysical and optical properties;
- Multi-source data fusion and assimilation methodologies to resolve spatiotemporal mismatches and enhance resolution;
- Case studies linking remote sensing observations to radiative transfer, laser propagation, and climate model validation and impact assessments.
We look forward to receiving your valuable contributions.
Dr. Shengcheng Cui
Dr. Bing Chen
Prof. Dr. Yong Han
Dr. Zhen Wang
Dr. Zhenzhu Wang
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
- aerosols
- clouds
- trace gases
- multi-scale remote sensing
- lidar
- satellite
- radiative transfer
- atmospheric inversion
- multi-source data fusion
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