Integrated Remote Sensing for Global Atmospheric Environment Monitoring and Assessment
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Atmospheric Remote Sensing".
Deadline for manuscript submissions: 30 August 2026 | Viewed by 237
Special Issue Editors
Interests: artificial intelligence; geospatial modelling; atmospheric composition; air pollution; climate change; precipitation; heatwave; weather forecast; greenhouse gas
Interests: atmosphere remote sensing (PM, O3, CO2, etc.); machine learning/deep learning; remote sensing information processing and application; data fusion
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Industrialization and urbanization, accelerated by greenhouse-gas emissions, have fused air pollution and climate change into a single, spiraling planetary crisis. Over ninety percent of humanity now breathes air that exceeds WHO guidelines; every year fine particulate matter and ground-level ozone prematurely end millions of lives, while more suffer from strokes, asthma, and impaired cognition. Mean air temperature has already approached the threshold of 1.5 °C from the Paris Agreements, leading to heatwaves that last longer and descend on regions once spared, parching soils and igniting vegetation, and therefore spawning wildfires whose smoke columns inject reactive gases and black carbon into the free troposphere, seeding secondary aerosol formation downwind and hundreds of kilometers away. The resulting chemical compounds amplify photochemical ozone production, intensify urban heat-island feedback, and disrupt weather circulation, locking continents in recurring cycles of fire, air pollution, and thermal stress. However, the monitoring of the global atmospheric environment still remains obscured by sparse observation data and modeling uncertainties in atmospheric environment parameters. Therefore, we cordially invite our colleagues in the scientific community to submit their recent findings on Integrated Remote Sensing for Global Atmospheric Environment Monitoring and Assessment.
The scope of this Special Issue includes, but is not limited to, the following topics:
- Advancements in atmospheric environment monitoring based on remote sensing: air quality, greenhouse gases, meteorological factors, etc.;
- Quality improvement of remote-sensing atmospheric environment products;
- Data fusion of atmospheric environment products from multi-source platforms;
- State-of-the-art atmospheric environment parameter modeling methods based on remote sensing;
- Assessment of atmospheric multi-factor compound events from remote-sensing perspectives.
Prof. Dr. Yuan Wang
Dr. Tongwen Li
Dr. Tianhao Zhang
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.
Keywords
- atmospheric modeling
- climate change
- environmental assessment
- air quality
- greenhouse gases
- meteorological factors
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