Remote Sensing on Theoretical and Observational Issues in Atmospheric Sciences
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".
Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 19678
Special Issue Editors
Interests: light scattering; polarized radiative tranfer; satellite remote sensing; computational electrodynamics; aerosol and clouds optics; optical device design
Interests: atmospheric and oceanic lidar; machine vision; image processing; deep learning
Special Issues, Collections and Topics in MDPI journals
Interests: astronomy and astrophysics; galaxy evolution; extragalactic astronomy; photometry; galaxy formation; star formation; cosmology; galaxy; stars; astrophysics
Interests: lidar; aerosols; clouds; radiative transfer; sensors; climatology
Interests: light scattering
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
A Special Issue of the journal of Remote Sensing on theoretical and observational issues in atmospheric sciences including observation, validation, and theoretical simulation is open for your submission of papers. Active and passive remote-sensing techniques and theories for measuring atmospheric and other environmental variables have advanced rapidly in recent years. Ground-based and in situ measurements of atmospheric components, such as cloud and aerosol particles, are essential to calibrate and validate satellite data. At the same time, fundamental atmospheric physics, such as light scattering and radiative transfer in the atmosphere, is critical for the comprehension of remotely sensed data. Your manuscripts for these research subjects are welcome for this Special Issue. This Special Issue is planned for the 7th International Symposium on Atmospheric Light Scattering and Remote Sensing (ISALSaRS'21) in Suwon, Korea in May, 2021. The ISALSaRS'21 will follow the history of this symposium series and continue to tackle emerging theoretical and observational issues in atmospheric sciences. The symposium welcomes the science community to report their latest results and discuss future directions of atmospheric light scattering and remote sensing. However, this Special Issue of Remote Sensing is open to submissions from all authors, not only the ISALSaRS’21 attendees.
Dr. Wenbo Sun
Dr. Dong Liu
Dr. Sungsoo Kim
Dr. Yongxiang Hu
Dr. Gorden Videen
Dr. Qiang Fu
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
- Atmosphere
- Light scattering
- Radiative transfer
- Clouds and aerosols
- Active and passive remote sensing
- Ground observations
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