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Frontiers in Optical Remote Sensing of Urban Areas: Processing Techniques and Applications

This special issue belongs to the section “Urban Remote Sensing“.

Special Issue Information

Dear Colleagues,

Active and passive earth observation data (EO) including synthetic aperture RADAR (SAR), LiDAR and optical remote sensing (ORS) play an important role in mapping, monitoring and forecasting information about urban areas and their change. Driven by advances in technologies, ORS is now capable of acquiring and processing very-high-resolution (VHR) imagery through airborne or spaceborne platforms. Consequently, ORS in urban environments has been rapidly emerging as a new frontier technology for mapping and monitoring urban land cover as well as understanding the biophysical properties, patterns, and processes of urban landscapes. There is now a need to broaden awareness and understanding of the novel techniques and innovative applications of ORS in the context of urban areas to realize the full potential of the technology in urban planning and management and addressing the societal needs.

This Special Issue seeks high-quality, innovative research papers featuring novel research and representing critical advances in the techniques, algorithms, methodologies, and applications related to data processing, information extraction, and modelling urban environments. The scope of this issue is limited to the use of ORS data (visible, multispectral, or thermal) of high spatial resolution acquired from aerial or spaceborne platforms over urban areas. The contributions to this issue may focus on, but are not limited to:

  • Urban remote sensing based on space- and airborne and UAV platforms
  • Image processing techniques, multi-data source fusion, segmentation, and object-based data processing
  • Novel techniques for deep learning and machine learning for information extraction
  • The detection and extraction of urban features (buildings, roads, vegetation, etc.)
  • Urban mapping, 3D modelling, analysis, and assessment of urban composition and structure
  • Change detection and analysis of urban dynamics and sprawl
  • Modelling urban growth, and impact of urban growth and urban transportation on other land uses
  • Assessing the performance of ORS-based methods against those of LiDAR and/or SAR

Dr. Alaeldin Suliman
Dr. Raid Al-Tahir
Dr. Bahram Salehi
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

  • Urban remote sensing
  • Mapping and visualization
  • 3D modelling
  • Urban feature detection and extraction
  • Change detection and modelling
  • Urban dynamics and growth modelling
  • Analysis and assessment of urban composition and structure
  • Geo-computation, spatial analytics applied to the urban context

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Remote Sens. - ISSN 2072-4292