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Remote Sensing and GIS Technology in Atmospheric Research

This special issue belongs to the section “Atmospheric Techniques, Instruments, and Modeling“.

Special Issue Information

Dear Colleagues,

The Earth’s atmosphere is a dynamic and complex system profoundly influenced by natural processes and human activities. To address pressing challenges such as climate change, air pollution, and extreme weather events, innovative approaches integrating remote sensing and Geographic Information Systems (GISs) have emerged as transformative tools in atmospheric research. Specifically, remote sensing technologies—spanning satellite, airborne, and ground-based platforms—provide unparalleled spatial and temporal resolution for monitoring atmospheric parameters, while GISs enable robust data integration, analysis, and visualization. Together, they empower researchers to decode intricate, atmospheric processes, forecast environmental risks, and support evidence-based decision making. To highlight the critical importance of these tools in addressing global challenges, bridging gaps between theoretical research and real-world applications, and fostering collaboration across geoscience, climatology, and environmental engineering, this Special Issue of Atmosphere, titled "Remote Sensing and GIS Technology in Atmospheric Research", seeks to showcase cutting-edge advancements and interdisciplinary applications of these technologies to advance our understanding of atmospheric dynamics, environmental sustainability, and climate resilience. We invite original research articles, reviews, and case studies that explore but are not limited to the following themes:

  • Atmospheric composition analysis (e.g., greenhouse gases, aerosols, and pollutants);
  • Climate change monitoring and modeling (e.g., temperature trends and carbon flux);
  • Extreme weather prediction and disaster risk reduction (e.g., hurricanes and droughts);
  • Urban climate studies (e.g., heat islands and air quality in megacities);
  • Integration of machine learning/AI with remote sensing and GIS;
  • Multi-source data fusion for atmospheric process analysis;
  • Policy-relevant applications for environmental governance.

By contributing to this Special Issue, researchers will help shape a global knowledge base that drives innovation in atmospheric science and informs strategies for mitigating environmental and societal impacts. Submissions should emphasize methodological rigor, technological innovation, and practical relevance. Submit your work to illuminate the synergies between remote sensing, GIS, and atmospheric research and to support a sustainable future for our planet.

Dr. Hui Liu
Dr. Mei Li
Dr. Mingyue Lu
Dr. Hua Shao
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. Atmosphere is an international peer-reviewed open access monthly 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 2400 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

  • remote sensing
  • geographic information systems (GISs)
  • atmospheric research
  • climate change
  • extreme weather events
  • environmental modeling

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Atmosphere - ISSN 2073-4433