Remote Sensing of Atmospheric Composition
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Atmospheric Remote Sensing".
Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 8392
Special Issue Editor
Special Issue Information
Dear Colleagues,
Remote sensing techniques for terrestrial, airborne, and satellite-based instruments are essential to detect and estimate the spatio-temporal variations of atmospheric composition. These observations can monitor both short-lived climate pollutants (SLCPs) and long-lived green-house gases (GHGs), and can be applied to identify source and sink processes, as well as long-range transport in the atmosphere. In addition, remote sensing techniques make it possible to create the synergies to understand key processes and trends of the Earth–atmosphere system using different observation platforms. Remote sensing observations make it possible to estimate quantitative values such as column integrated value, concentration, and vertical profile information for specific atmospheric compositions. However, the dependence on instrument specification and spectral coverage determines the accuracy of retrieval results.
This Special Issue is soliciting articles on topics including the performance of retrieval algorithms and results of atmospheric compositions based on all remote sensing instrument platforms. In particular, we welcome papers presenting inter-comparison results for the same physical amounts among different observation platforms, helping to understand the improvements of retrieval algorithms. Based on the retrieval accuracy, studies for climate, air quality and other applications are also key foci of this Special Issue.
Dr. Sang Seo Park
Guest Editor
Manuscript Submission Information
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Keywords
- air quality
- retrieval algorithm
- atmospheric composition
- climate change
- aerosol
- trace gases
- inter-comparison and validation
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