Special Issue "Selected Papers of the European Lidar Conference 2020"
Deadline for manuscript submissions: 31 December 2021.
Interests: atmospheric aerosol; lidar; remote sensing; atmospheric radiation; aerosol–cloud interaction
Interests: atmospheric aerosol; lidar; remote sensing; clouds; aerosol–cloud interaction; bioaerosols
Interests: atmospheric aerosol; lidar; remote sensing of the atmosphere; clouds; aerosol–cloud interaction
Interests: atmospheric aerosol; lidar; radiation; tropospheric ozone; remote sensing of the atmosphere; clouds; aerosol–cloud interaction
Special Issues and Collections in MDPI journals
The European Lidar Conference aims to be a suitable environment where lidarists can have a deep and open discussion. For 2.5 days, experts have the opportunity to network, find new and longstanding collaborations, exchange ideas, create novel ones, and be inspired by top-level keynote lectures, to further improve the field of lidar research. In other words, it is a place where lidarists can meet and discuss the very technical aspects of our work around the lidar technique in all its variants (e.g., backscatter- and Doppler lidar, automatic lidar and ceilometers, DIAL, and lidars with Raman and depolarization capabilities). On the occasion of the celebration of the 2nd European Lidar Conference, ELC2020, we encourage all participants to be part of this Special Issue of the journal Remote Sensing. This Special Issue titled ‘Selected Papers of ELC2020’ is calling for papers reporting the newest advances and scientific results in the Earth’s atmosphere involving ground-, air-, and space-based lidar techniques. Particularly, submissions related to atmospheric anthropogenic/natural aerosol particles, wind, and thermodynamics, aiming to provide a comprehensive assessment of aerosol–radiation interactions, aerosol–cloud interactions, and atmospheric boundary layer dynamics are particularly encouraged. Furthermore, synergistic combinations between lidars and other instrumentation as well as innovative applications are also welcome. Specifically, topics of interest for this Special Issue include (but are not limited to):
- Lidar technology;
- Lidar algorithms and data products;
- Lidar applications;
- Role of lidars in Cal/Val satellite missions;
- Synergies based on lidar techniques.
Prof. Lucas Alados-Arboledas
Prof. Juan Luis Guerrero Rascado
Dr. Juan Antonio Bravo-Aranda
Dr. María José Granados-Muñoz
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 papers will be 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 2200 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.
- elastic Lidar
- Raman lidar
- Doppler lidar
- fluorescence lidar
- high spectral resolution lidar
- Cal/Val satellite lidar missions
- atmospheric aerosol
- aerosol–cloud interactions