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Remote Sensing Applications in Air Quality Monitoring in Urban Areas

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Urban Remote Sensing".

Deadline for manuscript submissions: closed (31 July 2023) | Viewed by 796

Special Issue Editors


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Guest Editor
Department of Environmental Engineering, Pukyong National University, Busan 48513, Korea
Interests: air quality management modeling; atmospheric (fine dust) remote sensing; remote sensing equipment development

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Guest Editor
Advanced Institute of Convergence Technology, (16229) 864-1, Iui-dong, Yeongtong-gu, Suwon-si, Gyeonggi-do, Korea
Interests: air quality monitoring; remote sensing; sensor monitoring; climate change and adaptation technology

Special Issue Information

Dear Colleagues,

Environmental pollution in densely populated cities is becoming increasingly serious, with severe air pollution being caused by various production facilities and vehicles. Many cities carry out air quality monitoring to address air pollution, but in situ point observation is the main approach. In situ point observation has limitations in terms of identifying spatiotemporal distribution according to the dispersion and movement of air pollutants. In recent years, remote sensing has been actively used for air quality monitoring to overcome this limitation. Satellite is a representative remote sensing technique, and LiDAR, DOAS, and FTIR are widely used to detect the concentration and spatial distribution of gaseous and particulate pollutants.

This Special Issue aims to discover new remote sensing technologies that can replace the existing in situ methods of air quality monitoring. Topics may cover aspects of remote sensing such as data accuracy, novel methodologies, and more comprehensive techniques. Hence, we encourage the submission of articles addressing novel application methods and convergence studies related to remote sensing technology to monitor the spatial and temporal concentration distribution of various air pollutants in urban areas.

Potential topics may include, but are not limited to:

  • New methods for air quality monitoring in urban areas;
  • The application of big data for air quality monitoring;
  • Advances in the remote sensing of air quality monitoring;
  • Convergence applications of remote sensing;
  • The monitoring and assessment of urban air quality.

Dr. Youngmin Noh
Dr. Kwanchul Kim
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.

Keywords

  • air quality
  • remote sensing
  • urban
  • integrated monitoring
  • convergence application

Published Papers

There is no accepted submissions to this special issue at this moment.
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