Special Issue "Active and Passive Remote Sensing of Aerosols and Clouds"
Deadline for manuscript submissions: closed (28 February 2021).
Interests: LiDAR hardware; advanced sensors; haze events; climate change
Special Issues and Collections in MDPI journals
Interests: Lidar data retrieval; 3D remote sensing; air pollution; cloud and aerosol radiation
Interests: observation of aerosols and clouds; oxygen A-band remote sensing; radiative transfer model; aerosol-cloud interaction
It is a great pleasure to organize a special issue of “Active and Passive Remote Sensing of Aerosols and Clouds” in the journal of Remote Sensing.
With the increase of anthropogenic emission, radiative forcing from aerosol-cloud interactions have become one of the most uncertain factors in the estimation of the Earth’s changing energy budget and then climate change. In addition, aerosol emission, transportation and chemical composition affect air quality which is important to peoples health. However, the detailed understanding of aerosols and clouds is still insufficient by the limited observations and retrieval algorithms. So it is urgent to promote remote sensing methods to increase the comprehensive observations of three dimensional aerosols and clouds characteristics, further reveal the variation of aerosols and clouds as well as the physical mechanism of the interaction between them. Therefore, the main goal of this special issue is to survey the advanced active and passive remote sensing methods, for determining or understanding the detailed information of aerosols and clouds, their impacts on radiation, precipitation, climate, environment and peoples health from regional to global scales. Advanced active and passive sensors (such as lidar, radar, and Hyper-spectral optical sensor) and related retrieval algorithm for ground-based, airborne, and space-based observation are all encouraged. Also, the impacts of aerosol and cloud on air pollution, climate change and human health based on remote sensing are welcome. Furthermore, data fusion and assimilation approaches for acquiring new data with higher accuracy and temporal and spatial resolution are encouraged.
Prof. Dr. Wei Gong
Prof. Dr. Feiyue Mao
Prof. Dr. Siwei Li
Prof. Dr. Wei Wang
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 2400 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.
- Aerosols and cloud
- Lidar and radar
- Passive sensor
- Retrieval algorithm
- Haze and particulate matter
- Aerosol-cloud interactions
- Radiation effects
- Data fusion and assimilation