Remote Sensing for Air Quality, Health, and Sustainable Development

Dear Colleagues,

Air pollution remains a pressing global challenge, with profound impacts on air quality, human health, and climate systems. Atmospheric remote sensing has become an indispensable tool for monitoring particulate matter (PM₁, PM_2.5, PM₁₀) and gaseous pollutants (NO₂, SO₂, O₃, CO, and other trace gases), providing large-scale, consistent, and long-term observations beyond the capacity of ground-based networks. Recent advances in retrieval algorithms and sensor technologies have significantly improved the accuracy and accessibility of atmospheric data products, opening new opportunities for actionable applications. To apply this research in practice, remote sensing must be effectively integrated with environmental science, public health, and data analytics to inform decision-making and sustainable development.

This Special Issue aims to highlight innovative methodologies and applications related to atmospheric remote sensing in environmental health, sustainable development, and air quality management. We particularly encourage studies that demonstrate clear pathways from observation to practice and provide evidence of the societal benefits of atmospheric remote sensing.

The scope of this Special Issue includes, but is not limited to, the following topics:

• Novel technologies in air quality modelling
• Aerosol retrieval;
• Atmospheric correction;
• Surface-atmosphere signal decoupling;
• Artificial intelligence (AI) in remote sensing;
• Predictive modeling and time series in air quality;
• Aerosols and air pollutants dynamics;
• Climatic and environmental effect of aerosol and air pollution;
• Air pollution exposure and health risk assessment;
• Atmospheric environmental inequality and health disparities.

Dr. Ming Liu
Dr. Xinyu Yu
Dr. Ximeng Cheng
Dr. Tao Huang
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 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 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.