Special Issue "Global Urban Observation for SDG Goal 11: Sustainable Cities and Communities"

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

Deadline for manuscript submissions: 15 July 2022.

Special Issue Editors

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. Qihao Weng
E-Mail Website
Guest Editor
Dr. Umamaheshwaran Rajasekar
Guest Editor
National Institute of Urban Affairs, 1st Floor, Core 4B, India Habitat Centre, Lodhi Road, New Delhi, India
Interests: remote sensing; urban resilience
Dr. Li Zhang
Guest Editor
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 10094, China
Interests: remote sensing; coast; drylands carbon
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear colleagues,

Urbanization has become a widespread issue across the globe, with over half of the human population living in cities. A rising population and migration have led to a rapid growth of mega-cities. In recent decades, public attention has been focused on the sustainability and resilience of cities and communities, which have been reenergized by the United Nations’ initiative for Sustainable Development Goals (SDGs) commencing in 2015. A sustainable city/community is expected to contain sufficient business and career opportunities and provide a safe and affordable living environment and sturdy societal and economic development. Sustainability itself is directly linked to a broad range of activities, including optimizing public transportation, creating/reserving green living spaces, and improving natural resource management and urban planning, which are closely linked to physical and built environments, social–economic development, characteristics of human population, and public policy. Geospatial technologies have been widely used in assessing natural resources and environmental conditions, evaluating urbanization and associated impacts and analysis and modeling of sustainability of cities and communities. Since 2012, the Group on Earth Observations have developed numerous programs and initiatives (e.g., Global Urban Observation and Information Initiative) to coordinate the activities of participating organizations and countries to cope with the environmental and societal challenges of sustainability concerns. Numerous user engagement efforts have been made to facilitate the dissemination of EO-based data products, models, systems, tools, and services in support of the UN’s SDGs.  

This Special Issue invites manuscripts that demonstrate state-of-the-art geospatial technologies, in particular, global urban observation methods and techniques, in addressing issues related to sustainable cities and communities. Potential topics include but are not limited to the following:  

  • SDG Goal 11: Sustainable Cities and Communities;
  • Natural resources and environmental sustainability;
  • Land use, infrastructure, and transportation assessment;
  • Urban natural disaster assessment and public safety;
  • Urban exposure, disease outbreak, and environmental and public health;
  • Urban energy conservation, biodiversity, and green cities;
  • Affordable and healthy living environment, and public participation in planning.

Assoc. Prof. Hua Liu
Prof. Qihao Weng
Dr. Umamaheshwaran Rajasekar
Dr. Li Zhang
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 papers will be 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 2500 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.

Published Papers (1 paper)

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Remote Sensing of Urban Poverty and Gentrification
Remote Sens. 2021, 13(20), 4022; https://doi.org/10.3390/rs13204022 - 09 Oct 2021
Viewed by 874
In the past few decades, most urban areas in the world have been facing the pressure of an increasing population living in poverty. A recent study has shown that up to 80% of the population of some cities in Africa fall under the [...] Read more.
In the past few decades, most urban areas in the world have been facing the pressure of an increasing population living in poverty. A recent study has shown that up to 80% of the population of some cities in Africa fall under the poverty line. Other studies have shown that poverty is one of the main contributors to residents’ poor health and social conflict. Reducing the number of people living in poverty and improving their living conditions have become some of the main tasks for many nations and international organizations. On the other hand, urban gentrification has been taking place in the poor neighborhoods of all major cities in the world. Although gentrification can reduce the poverty rate and increase the GDP and tax revenue of cities and potentially bring opportunities for poor communities, it displaces the original residents of the neighborhoods, negatively impacting their living and access to social services. In order to support the sustainable development of cities and communities and improve residents’ welfare, it is essential to identify the location, scale, and dynamics of urban poverty and gentrification, and remote sensing can play a key role in this. This paper reviews, summarizes, and evaluates state-of-the-art approaches for identifying and mapping urban poverty and gentrification with remote sensing, GIS, and machine learning techniques. It also discusses the pros and cons of remote sensing approaches in comparison with traditional approaches. With remote sensing approaches, both spatial and temporal resolutions for the identification of poverty and gentrification have been dramatically increased, while the economic cost is significantly reduced. Full article
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