Artificial Intelligence in Remote Sensing of Atmospheric Environment

Dear Colleagues,

The atmospheric environment is among the most active and fast-developing interdisciplinary disciplines, which studies the earth’s atmosphere from the perspective of the human environment. This encompasses the following individual disciplines, as well as their interdisciplines: atmospheric physics and chemistry, atmospheric components and sources, air pollution, air quality, climate change, and human health. The pertinent processes take place from the earth’s surface to the troposphere, and some even reach the stratosphere. Satellite remote sensing has offered global and long-term measurements of quantities on a wide range of scales. In particular, artificial intelligence, e.g., machine learning and deep learning, has a great application prospect in the atmospheric environment because of its superb data mining ability, allowing us to better observe them and understand their underlying processes.

This Special Issue welcomes all manuscripts presenting new and advanced scientific contributions in the atmospheric and environmental sciences by virtue of satellite remote sensing using artificial intelligence technologies, including, but not limited to, machine learning and deep learning, aerosol and cloud retrieval, air pollution exposure modelling, weather and climate forecasting, big data processing and analysis, image classification and restoration, data integration and fusion, data downscaling, citizen science via crowdsourcing, or Internet of Things.

Dr. Jing Wei
Dr. Zhanqing Li
Dr. Lin Sun
Dr. Jun Wang
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 250 words) can be sent to the Editorial Office for assessment.

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.