Data-Driven City and Society – A Remote Sensing Perspective
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Engineering Remote Sensing".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 2392
Special Issue Editor
Interests: spatial analysis; spatial statistics; geostatistical analysis; mapping; environment; remote sensing; landscape; geo-graphic information system; land use; ArcGIS
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Modern cities need spatial data to develop sustainably; the lion's share of spatial data is obtained using remote sensing methods. Regardless of spectral, spatial and temporal resolution, the ability and efficiency of spatial information extraction is crucial for city management in the context of its natural resources, potential threats, technical infrastructure maintenance and the sustainable development of society. Regardless of RS data geoprocessing methods (human or AI), spatial information remains the driving force behind city and societal development—a data-driven city.
In this Special Issue, we will focus on remote sensing data utilized for city mapping, management and forecasting, as well as a city’s history. These goals can be achieved by reviewing works (state-of-the-art or critical review papers), method development, case study descriptions and prototypes as long as they discuss the benefits and downsides of RS data utilization. We aim to encourage research that both utilizes satellite and aerial RS datasets and is related to terrestrial remote sensing, specifically remote sensing carried out via urban dust sensors, air quality sensors, CCTV cameras and face recognition algorithms, as well as considering RS of human pattern mapping and general issues related to semantic classification. This Special Issue will move far beyond the framework of outdoor remote sensing by including manuscripts describing RS data obtained inside buildings (indoor mapping and BIM-related RS solutions). This Special Issue is also interested in RS data public sharing issues, associated benefits (for example, citizen science projects) and risks such as privacy violations and terrorist threats.
The scope of this Special Issue covers the following topics:
- Satellite remote sensing of cities;
- Mapping green and blue infrastructure;
- Mapping physical and chemical parameters in the city;
- Urban heat island and other threats;
- Analysis of the health of plants in the city;
- Long-term analyses of changes in the urban fabric;
- Remote sensing and data privacy;
- Mechanisms of object detection in digital images;
- Remote sensing for city administration;
- City data storage issue;
- The impact of RS data on citizen science;
- How access to RS data shapes societies;
- Threats resulting from open access to RS data.
Dr. Szymon Chmielewski
Guest Editor
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
- data utilization
- data-driven
- AI
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