Special Issue "Remote Sensing of Atmospheric Pollution"
Deadline for manuscript submissions: closed (30 June 2017)
A printed edition of this Special Issue is available here.
Assoc. Prof. Dr. Yang Liu
Rollins School of Public Health, Emory University 1518 Clifton Road NE Atlanta, GA 30322 USA
Phone: 1 404 7272131
Interests: application of satellite aerosol remote sensing in air quality modeling
Prof. Dr. Jun Wang
The launch of the NASA EOS Terra satellite in 1999 marked the beginning of an exciting era of satellite remote sensing of the Earth’s atmosphere. Since then, measurements from spaceborne platforms, such as Terra, Aqua, Aura, ENVISAT, CALIPSO, and Suomi NPP have enabled us to characterize a wide range of chemical species in the troposphere. Global observations of aerosols and gas pollutants, such as ozone, carbon monoxide, sulfur dioxide, nitrogen dioxide, and formaldehyde, are available at increasingly high precision and spatial resolution. Satellite observations of air pollutants offer wide spatial coverage which cannot be matched by any ground-based monitoring networks. This strength is particularly valuable for the developing world where regular ground monitoring is sparse or nonexistent. Enhanced retrieval algorithms also allow continued improvement and expansion of satellite data during the mission lifetime. Thus far, satellite data have been used to tracking pollutant plumes, support air quality forecasting, provide evidence during exceptional air pollution events, evaluate model performance, estimate pollutant emissions, and study long-term air pollution trends. However, major challenges still need to be answered in order to effectively apply satellite data in air pollution monitoring. For example, how do we effectively mitigate the impact of substantial data missingness due to cloud cover and high surface reflectance? How do we account for the satellite retrieval errors, both random and systematic, which often vary with and surface types and meteorological conditions? These and many other research questions are being actively investigated by both the satellite science teams and the applied air quality community.
This Special Issue of Remote Sensing invites research articles in the following (but not limited to) topics:
• Validation and evaluation of the latest data products and technologies of air pollution remote sensing
• Innovative approach to quantify how satellite retrieval errors impact air pollution exposure assessment
• Applications of satellite data in air pollution modeling
• Characterization of the trend of air pollution at the local, regional, and global scales
• Use of satellite data to improve our understanding of air pollutant emissions
Dr. Yang Liu
Dr. Jun Wang
Dr. Omar Torres
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 1800 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.