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Atmospheric Measurements Based on Spectral Remote Sensing

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

Deadline for manuscript submissions: 28 November 2025 | Viewed by 32

Special Issue Editor

Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
Interests: remote sensing; atmospheric; spectrometer; trace gas

Special Issue Information

Dear Colleagues,

Spectral remote sensing is one of the most important technologies for atmospheric measurements. It has developed multi-platforms such as ground-based, airborne, and spaceborne sensors, which have passive detection of atmospheric scattered light and active detection such as lidar. It can achieve atmospheric measurements at the station, regional, and global scales. Spectral remote sensing uses different methods such as grating, filter, acousto-optic, and interference to separate the target spectrum, achieving spectral information acquisition with high-spectral/hyperspectral resolution. Spectral remote sensing includes traditional physical inversion methods for analyzing spectra and statistical inversion methods (such as machine learning), which continuously improve the detection and inversion accuracy of spectra. It has been widely used in fields such as air quality monitoring, air pollution prevention and control, climate change, and meteorological parameter detection.

This Special Issue focuses on atmospheric measurements obtained by using spectral remote sensing, which may mainly includes spectral remote sensing detection theory and technology, spectral remote sensing instruments (such as system design, simulation analysis, calibration, etc.), spectral inversion methods, atmospheric composition (such as greenhouse gases, pollutants, aerosols, etc.), atmospheric models, and atmospheric quality controls (such as atmospheric quality inventories, prevention and control measures, etc.).

Articles may address, but are not limited, to the following topics:

  • Multi-spectral remote sensing;
  • Research and development of new sensors;
  • Spectral feature extraction and recognition;
  • Spectral detection techniques;
  • Spectral detection instruments;
  • Spectral detection modeling;
  • Spectral analysis method;
  • Inversion algorithms;
  • Atmospheric meteorology;
  • Atmospheric quality;
  • Atmospheric pollution control;
  • Atmospheric models;
  • Atmospheric correction.

Prof. Fuqi Si
Guest Editor

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

  • atmospheric measurement
  • spectral remote sensing
  • spectral analysis
  • atmospheric inversion methods
  • environmental monitoring
  • climate change
  • meteorology and climate modeling
  • atmospheric quality

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Published Papers

This special issue is now open for submission.
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