We use cookies to improve your website experience. To learn about our use of cookies and how you can manage your cookie settings, please see our Cookie Policy. By closing this message, you are consenting to our use of cookies.

Submit a Manuscript to the Journal

Canadian Journal of Remote Sensing

For an Article Collection on

Technological Advancements in Urban Remote Sensing

Manuscript deadline
30 August 2023

Cover image - Canadian Journal of Remote Sensing

Article collection guest advisor(s)

Prof. Shabnam Jabari , University of New Brunswick, Canada

Prof. Gautam Srivastava , Brandon University, Canada

Dr. Ying Zhang , Natural Resources Canada

Submit an ArticleVisit JournalArticles

Technological Advancements in Urban Remote Sensing

The continued unprecedented development and growth in the urban population has placed an emphasis on many aspects, such as environmental impact, sustainable development, and public services. Currently, urban environments around the world are actively involved in obtaining solutions to improve inhabitants’ quality of life as well as enrich the use of city infrastructure and resources while reducing the operational costs to do so. Urban remote sensing plays a vital role in the ability to map, monitor and control infrastructure. Benefiting from data-driven, model-driven or hybrid approaches, remote sensing can contribute significantly to future urban planning and management. Variant sensors mounted on mobile, airborne, and satellite platforms, along with devices with IoT capabilities, are required for effective coordination and control of urban infrastructure.

Urban remote sensing had its origins decades ago. However, the changes in technological advancements in sensors and methods, along with a considerable amount of data provided on a daily basis, give rise to the opportunity to investigate novel avenues of research in this area. Technological advancements in this field include improvements in imaging sensors as well as data processing methods, including learning systems (artificial intelligence and machine learning).

This updated collection of articles will drive the next generation of urban remote sensing. Submissions on the following sub-topics are encouraged:

  • Advances in remote sensor Big Data analytics for urban environments and Smart Cities
  • Frontiers in security, privacy, and trust in sensor-based urban environments and IoT
  • Machine Learning and AI Techniques in urban Remote Sensing
  • Change detection in urban areas using multi-sensor solutions
  • 3D modelling of urban infrastructure and urban Digital Twins
  • Multi-modal mapping systems and their applications in urban areas
  • Application of imagery data from novel Remote Sensing sensors or platforms for urban land information extraction

Benefits of publishing open access within Taylor & Francis

Global marketing and publicity, ensuring your research reaches the people you want it to.

Article Collections bring together the latest research on hot topics from influential researchers across the globe.

Rigorous peer review for every open access article.

Rapid online publication allowing you to share your work quickly.

All manuscripts submitted to this Article Collection will undergo desk assessment and peer-review as part of our standard editorial process. Guest Advisors for this collection will not be involved in peer-reviewing manuscripts unless they are an existing member of the Editorial Board. Please review the journal Aims and Scope and author submission instructions prior to submitting a manuscript.

We use cookies to improve your website experience. To learn about our use of cookies and how you can manage your cookie settings, please see our Cookie Policy. By closing this message, you are consenting to our use of cookies.