Dear Colleagues,

Remote-sensing assessments from satellite instruments combined with ground-monitoring measurements, models, and advanced statistical methods have become increasingly important for assessing ground and tropospheric conditions. These methods have evolved rapidly over the past 10 years, with numerous applications relevant to a wide range of environmental studies. However, one of the main questions and challenges in the current research is the identification of pollution sources. Furthermore, in spite of wide research in quantitative estimation of particulate matter concentrations using satellite data, there is a gap in knowledge on its composition on a spatial and temporal scale and its variability in 3D dimension. To answer these questions, we need not only a deep knowledge and realistic consideration of the weather and climate models, but also establishing a set of continuous monitoring observations from the ground and space of vital environmental parameters. This knowledge is of special importance for policy- and decision-makers to moderate the risks and to regulate air quality standards.

In this Special Issue, we would like to provide a state-of-the-art synthesis of these methods and their applications for sensing atmospheric conditions.

Potential topics include but are not limited to:

• Monitoring of diverse sources of pollution using wide range of remote sensing technology: dust pollution, anthropogenic, marine, and mixed sources;
• Aerosol climatology in challenging environments: (1) remote regions, (2) areas that are lack of ground-monitoring sites, (3) bright background regions, (4) cloudy environments, and (5) areas that have undergone environmental degradation;
• Air pollution monitoring using remote sensing technologies at different spatial and temporal resolutions;
• Active sensing of the atmosphere for vertical profiling;
• New algorithms and technologies to address current limitation in air quality monitoring using satellite technologies;
• Big data vs. lack of data- statistical methods to fill the gap.

Prof. Alexandra Chudnovsky
Prof. Dr. Jun Wang
Guest Editors

Manuscript Submission Information

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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.

• pollution sources
• climatology of aerosols
• aerosol optical depths (AOD)
• particulate matter
• passive and active remote sensing, lidar, satellite vs ground based measurements