Remote Sensing and Geospatial Analysis in Urban Environments in the Big Data Era
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Urban Remote Sensing".
Deadline for manuscript submissions: 15 December 2024 | Viewed by 105
Special Issue Editors
Interests: spectral unmixing analysis; environmental planning; land use and land cover change modelling
Special Issues, Collections and Topics in MDPI journals
Interests: urban cooling; urban green spaces; urban planning; landscape ecology; urban heat island; air temperature estimated by remote sensing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Urbanization is one of the notable changes on the Earth’s surface. Although urban areas only cover a small portion of the global land surface, natural landscapes have gradually transformed into anthropogenic urban land uses. Such transformation has significantly modified urban environments and caused several urban issues, including traffic congestion, water pollution, air pollution, the urban heat island effect, urban flooding, etc., which have attracted the attention of many scholars.
Remote sensing techniques have experienced rapid development in recent decades, and the advancements in remote sensing technologies have accelerated our understanding of urban environments. In the era of big data, the availability of multisource remote sensing data with diverse spectral, spatial, and temporal resolutions presents opportunities and challenges for geospatial analysis and the comprehensive understanding of urban environments.
The objective of this Special Issue is to explore the challenges and opportunities in exploiting the potential of remote sensing and geospatial analysis applications in urban environments in the big data era.
Topics of interest include, but are not limited to, the following:
- Urban environment classification and change analysis from multi-source data;
- Application of new sensors (e.g., UAV, SAR, and LiDAR) in urban environment analysis;
- Urban growth and urbanization modeling;
- New innovative algorithms (e.g., machining learning) in modeling urban environments;
- Human–environment interactions in urban environments;
- Sustainable urban development;
- Urban air, water, heat, population, and energy consumption, and their dynamics.
Dr. Wenliang Li
Dr. **aoma Li
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at mdpi.longhoe.net 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
- geospatial analysis
- remote sensing
- big data
- city science
