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Remote Sensing
Special Issues
Geo-Information and Integration for Smart and Friendly Cities
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Geo-Information and Integration for Smart and Friendly Cities

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

Deadline for manuscript submissions: closed (1 December 2023) | Viewed by 6142

Special Issue Editors

Dr. Agnieszka Dawidowicz

E-Mail Website
Guest Editor
Institute of Spatial Management and Geography, Faculty of Geoengineering, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland
Interests: land information systems; cadastre; land administration; land management; geodesy; cartography; spatial data infrastructures
Special Issues, Collections and Topics in MDPI journals
Dr. Małgorzata Dudzińska

E-Mail Website
Guest Editor
Department of Real Estate Management and Geographical Information Systems, Institute of Spatial Management and Geography, Faculty of Geoengineering, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland
Interests: sustainable development; spatial information systems; information society; surveying rural space; socio-economic geography; spatial management; engineering sciences
Special Issues, Collections and Topics in MDPI journals
Dr. Marta Gross

E-Mail Website
Guest Editor
Institute of Spatial Management and Geography, Faculty of Geoengineering, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland
Interests: land management; public utilities management; urban planning; GIS; travel behaviour
Dr. Hua Liu

E-Mail Website
Guest Editor
Department of Political Science & Geography, Old Dominion University, Norfolk, VA 23529, USA
Interests: remote sensing; GIS; urban environmental changes; public health
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Pablo Rodríguez-Gonzálvez

E-Mail Website
Guest Editor
Department of Mining Technology, Topography and Structures, University of León, Avda. Astorga, s/n, 24401 Ponferrada, Spain
Interests: photogrammetry; drones; laser scanning; radiometric calibration; remote sensing; RGB-D sensors; 3D modeling; mobile mapping; metrology; verification; inspection; quality control
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In the present era of rapid population growth in cities, administrative units are facing many difficult challenges in providing housing resources, jobs, education, care, and recreation. Friendly urban space with access to all functional facilities, including green and blue infrastructure for all social groups, is a priority, not only for the local community but most importantly on a global basis, as evidenced by the international institutions, i.e., World Health Organization (WHO—Age-friendly city), United Nations International Children’s Emergency Fund (UNICEF—Child-friendly cities), United Nations Department of Economic and Social Affairs (Sustainable Development Goals—SDG), European Commission (EC—Green Infrastructure), and others. Local solutions have a massive impact on global sustainability. In combination with the concern for increasing the quality of life in cities, effective and sustainable land administration requires unlimited access to complete, often with integrated data on various phenomena in the urban space. Geoinformation management is the first and basic stage of the administrative decision-making process. Geoinformation serves not only the governments but also the city inhabitants to support small everyday decisions, e.g., concerning the choice of an access road, as well as bigger ones concerning real estate investments. Access to current and complete geoinformation and skillful processing of it provides knowledge in almost every aspect of our lives. The question of what data sources are reliable and credible and how to process the acquired geo-information is still valid. On the part of producers of geodata from different sources, the challenge is to provide them with the highest possible quality, which will enable seamless integration.

The aim of this Special Issue is to share the latest achievements in the development of geoinformation databases, their integration, and the latest processing methods to achieve the goals of a smart and friendly city.

Of high importance is currently research on the purpose of geoinformation for urban sanitation improvements related to the COVID-19 pandemic; green infrastructure creation; friendly real estate housing developments, especially for seniors and children; smart transportation and congestion management; crisis management.

Dr. Agnieszka Dawidowicz
Dr. Małgorzata Dudzińska
Dr. Marta Gross
Dr. Hua Liu
Dr. Pablo Rodríguez-Gonzálvez
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

  • geoinformation
  • spatial data infrastructure
  • green Infrastructure
  • spatial data management (processing/production)
  • smart city
  • friendly city
  • spatial data integration
  • sustainable land administration/management

Published Papers (3 papers)

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Research

20 pages, 78741 KiB  
Article
Solar Potential Analysis of Bus Shelters in Urban Environments: A Study Case in Ávila (Spain)
by María Sánchez-Aparicio, Enrique González-González, Jose Antonio Martín-Jiménez and Susana Lagüela
Remote Sens. 2023, 15(21), 5189; https://doi.org/10.3390/rs15215189 - 31 Oct 2023
Cited by 1 | Viewed by 1027
Abstract
The presence of shadows is one of the main disadvantages of photovoltaic solar panel installations in urban environments. This article analyses their effect on solar installations performed on urban elements where the use of solar energy can be considered novel: bus shelters. For [...] Read more.
The presence of shadows is one of the main disadvantages of photovoltaic solar panel installations in urban environments. This article analyses their effect on solar installations performed on urban elements where the use of solar energy can be considered novel: bus shelters. For this purpose, the PVGIS tool is used in combination with a new methodology for the extraction of the shadow horizon profile from LiDAR point clouds. The results show a 29.90% and 37% reduction of calculated solar radiation using horizon profiles derived from LiDAR point clouds of 0.5 pts/m2 and 1 pt/m2, respectively, versus no horizon profile. By taking shading into account, thanks to this study it is possible to make a more realistic prediction of the use of the electrical energy generated by the sun to cover urban energy consumption in bus shelters. Results show that the energy surplus produced overall allows these elements to be converted into charging points for light electric vehicles, allowing up to 35 units per day/bus shelter to be charged. The use of bus shelters as a place to generate clean energy through solar energy and charge light vehicles makes it possible to move towards sustainable and environmentally friendly cities. Full article
(This article belongs to the Special Issue Geo-Information and Integration for Smart and Friendly Cities)
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22 pages, 7588 KiB  
Article
Data Fusion for Estimating High-Resolution Urban Heatwave Air Temperature
by Zitong Wen, Lu Zhuo, Qin Wang, Jiao Wang, Ying Liu, Sichan Du, Ahmed Abdelhalim and Dawei Han
Remote Sens. 2023, 15(16), 3921; https://doi.org/10.3390/rs15163921 - 08 Aug 2023
Viewed by 1160
Abstract
High-resolution air temperature data is indispensable for analysing heatwave-related non-accidental mortality. However, the limited number of weather stations in urban areas makes obtaining such data challenging. Multi-source data fusion has been proposed as a countermeasure to tackle such challenges. Satellite products often offered [...] Read more.
High-resolution air temperature data is indispensable for analysing heatwave-related non-accidental mortality. However, the limited number of weather stations in urban areas makes obtaining such data challenging. Multi-source data fusion has been proposed as a countermeasure to tackle such challenges. Satellite products often offered high spatial resolution but suffered from being temporally discontinuous due to weather conditions. The characteristics of the data from reanalysis models were the opposite. However, few studies have explored the fusion of these datasets. This study is the first attempt to integrate satellite and reanalysis datasets by developing a two-step downscaling model to generate hourly air temperature data during heatwaves in London at 1 km resolution. Specifically, MODIS land surface temperature (LST) and other satellite-based local variables, including normalised difference vegetation index (NDVI), normalized difference water index (NDWI), modified normalised difference water index (MNDWI), elevation, surface emissivity, and ERA5-Land hourly air temperature were used. The model employed genetic programming (GP) algorithm to fuse multi-source data and generate statistical models and evaluated using ground measurements from six weather stations. The results showed that our model achieved promising performance with the RMSE of 0.335 °C, R-squared of 0.949, MAE of 1.115 °C, and NSE of 0.924. Elevation was indicated to be the most effective explanatory variable. The developed model provided continuous, hourly 1 km estimations and accurately described the temporal and spatial patterns of air temperature in London. Furthermore, it effectively captured the temporal variation of air temperature in urban areas during heatwaves, providing valuable insights for assessing the impact on human health. Full article
(This article belongs to the Special Issue Geo-Information and Integration for Smart and Friendly Cities)
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16 pages, 6826 KiB  
Article
Investigating the Changes in Urban Green-Space Patterns with Urban Land-Use Changes: A Case Study in Hangzhou, China
by Jiadi Yin, Ping Fu, Ali Cheshmehzangi, Zhichao Li and Jinwei Dong
Remote Sens. 2022, 14(21), 5410; https://doi.org/10.3390/rs14215410 - 28 Oct 2022
Cited by 9 | Viewed by 3027
Abstract
Urban green space (e.g., parks, farmland, gardens, etc.) design in different urban functional regions (e.g., residential land, commercial land, etc.) depends on different planning purposes. The changes in urban green spaces are highly related to urban land-use changes (e.g., from residential land to [...] Read more.
Urban green space (e.g., parks, farmland, gardens, etc.) design in different urban functional regions (e.g., residential land, commercial land, etc.) depends on different planning purposes. The changes in urban green spaces are highly related to urban land-use changes (e.g., from residential land to commercial land). However, the investigation of urban green space patterns in response to urban land-use changes has been ignored. This research takes Hangzhou city, a typical example in terms of urbanization, population growth, economic development, and land-use changes, as the study site, aiming to explore the landscape patterns of urban green space changes with different urban land-use changes. The results showed that urban green spaces increased from 2017 to 2021, and the growth was mainly concentrated in the urban core area, indicating that the city has made remarkable achievements in the planning of green spaces. Specifically, the increase in urban green spaces in the first ring belt was mainly related to the old town transformation program in the residential land. The change from the residence parcels to the business parcels determined the increase in green spaces in the second and third ring belts, probably because of the attractiveness of customers. In addition, a large number of open-space parcels have changed to business parcels around the urban periphery, which might be due to the transformation from farmland to impervious surfaces. Combined with the urban land-use and green-space policies, the findings highlighted that a reasonable urban land-use layout can promote the optimization and layout of urban green spaces. The private sector (e.g., shopping malls) can also contribute to the increase in green spaces. The understanding of urban green landscapes with different urban land-use changes can provide references for analyzing and optimizing green space in other cities experiencing rapid urban land-use changes. Full article
(This article belongs to the Special Issue Geo-Information and Integration for Smart and Friendly Cities)
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