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Sustainability
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Geospatial Technologies and Geographical Information Systems for Sustainable Development
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Geospatial Technologies and Geographical Information Systems for Sustainable Development

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainability in Geographic Science".

Deadline for manuscript submissions: closed (30 November 2021) | Viewed by 7806

Special Issue Editors

Dr. Devanjan Bhattacharya

E-Mail Website
Guest Editor
1. School of Law and School of Informatics, University of Edinburgh, EH8 9YL Edinburgh, UK
2. MagIC, NOVA IMS, Universidade Nova de Lisboa, Lisbon, Portugal
Interests: geo-informatics; applications to smart cities; spatial enablement; spatial web; spatial data analytics; geo-semantic IoT; GNSS; remote sensing
Dr. Kriti Mukherjee

E-Mail Website
Guest Editor
Geography Program and Natural Resources and Environmental Studies Institute, University of Northern British Columbia, Prince George, BC, PIN:V2N0B7, Canada
Interests: applications of remote sensing and GIS for natural resource management
Dr. Atanu Bhattacharya

E-Mail Website
Guest Editor
Department of Remote Sensing & GIS, JIS University, Agarpara, Kolkata, West Bengal 700109, India
Interests: remote sensing and satellite image processing in Earth Science application; glacier remote sensing; application of remote sensing in natural disasters

Special Issue Information

Dear Colleagues,

Spatial data has been the key enabler for the continuing march of human settlements for a long time. Maps and plans have location details that point to the direction in which development is taking place, thereby acting as a measure of control over unplanned growth. The impact of progress can be effectively understood through spatial information. For sustainable development, the critical measures are accountability, transparency, and tractability, which are reinforced through geo-enabling projects. In recent times, advancements in informatics have led to geospatial technologies gaining widespread influence. It is now universally accepted that the current UN SDGs must be implemented over a backdrop of spatially enhanced infrastructure, and future improvements of the SDGs are to be brought around through spatial information, knowledge, and research.

Moreover, sustainability does not only mean a sustainable human settlement, but also a sustainable environment for the different species, plants, and the natural resources. Satisfying human needs and quality of life by maintaining a balance between economic development and natural resources is fundamental to the sustainability of our society. Safeguarding our forests, coral reefs, deserts, and glaciers are extremely important as they are responsible for environmental sustainability. It is very important to understand how anthropogenic climate change has influenced our world by increasing the chances of droughts, floods and other extreme events and how remote sensing and GIS play vital roles to understand and monitor these changes.

In light of the above mentioned points, the current Special Issue focuses on the in-depth role of geospatial technologies for sustainable development. It deals with the application areas of spatial informatics, sources of spatial data contributing to sustainability, study of multifaceted social and environmental processes through geodata, primarily remotely sensed and mapped data, smart urban development, and not least, climate studies tied to spatial informatics. It will also address the issues related to the loss of natural resources due to unplanned deforestation, accelerated retreat and mass loss of mountain glaciers and ice sheets due to climate change, applications of remote sensing to monitor extreme events like flood or droughts, studies of volcanoes, landslides or other natural hazards etc.

The purpose of bringing out a Special Issue with a focus on geospatial technologies such as geographical information systems and remote sensing and satellite image processing techniques for sustainable development is to continue the efforts in this field by comparing and constructing the future goals and the path leading up to those.

This Special Issue will supplement research done in the areas including but not limited to: role of spatial data in sustainability studies; Sustainability research with geomatics techniques; Impact of geospatial technologies on the Sustainable development goals (SDGs); Big geodata analytics and distributed spatial data processing;  Global spatial data infrastructures (GSDIs) applications and uses; Remote sensing and geographical information system (GIS) for study and monitoring the natural resources like coral reefs, forests, glaciers, ice caps and ice sheets etc.;  Urban applications for spatial smart cities; Spatial enablement for climate change; Study of volcanoes, landslides, or other natural hazards; Monitor droughts, floods, hurricanes, or other extreme events.

Dr. Devanjan Bhattacharya
Dr. Kriti Mukherjee
Dr. Atanu Bhattacharya
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. Sustainability 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 2400 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

  • spatial data
  • sustainability
  • sustainable development goals (SDGs)
  • big geodata
  • global spatial data infrastructures (GSDIs)
  • remote sensing
  • geographical information system (GIS)
  • geomatics
  • coral reefs
  • landslides
  • drought
  • flood
  • glaciers and ice sheets
  • forests
  • volcanoes

Published Papers (2 papers)

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Research

21 pages, 7958 KiB  
Article
Inventory of Locations of Old Mining Works Using LiDAR Data: A Case Study in Slovakia
by Marcela Bindzarova Gergelova, Slavomir Labant, Jozef Mizak, Pavel Sustek and Lubomir Leicher
Sustainability 2021, 13(12), 6981; https://0-doi-org.brum.beds.ac.uk/10.3390/su13126981 - 21 Jun 2021
Cited by 5 | Viewed by 2575
Abstract
The concept of further sustainable development in the area of administration of the register of old mining works and recent mining works in Slovakia requires precise determination of the locations of the objects that constitute it. The objects in this register have their [...] Read more.
The concept of further sustainable development in the area of administration of the register of old mining works and recent mining works in Slovakia requires precise determination of the locations of the objects that constitute it. The objects in this register have their uniqueness linked with the history of mining in Slovakia. The state of positional accuracy in the registration of objects in its current form is unsatisfactory. Different database sources containing the locations of the old mining works are insufficient and show significant locational deviations. For this reason, it is necessary to precisely locate old mining works using modern measuring technologies. The most effective approach to solving this problem is the use of LiDAR data, which at the same time allow determining the position and above-ground shape of old mining works. Two localities with significant mining history were selected for this case study. Positional deviations in the location of old mining works among the selected data were determined from the register of old mining works in Slovakia, global navigation satellite system (GNSS) measurements, multidirectional hill-shading using LiDAR, and accessible data from the open street map. To compare the positions of identical old mining works from the selected database sources, we established differences in the coordinates (ΔX, ΔY) and calculated the positional deviations of the same objects. The average positional deviation in the total count of nineteen objects comparing documents, LiDAR data, and the register was 33.6 m. Comparing the locations of twelve old mining works between the LiDAR data and the open street map, the average positional deviation was 16.3 m. Between the data sources from GNSS and the registry of old mining works, the average positional deviation of four selected objects was 39.17 m. Full article
(This article belongs to the Special Issue Geospatial Technologies and Geographical Information Systems for Sustainable Development)
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21 pages, 5250 KiB  
Article
Assessing Suitability of Human Settlements in High-Altitude Area Using a Comprehensive Index Method: A Case Study of Tibet, China
by Yanpeng Ding, Bin Shi, Guijin Su, Qianqian Li, Jing Meng, Yongjian Jiang, Yi Qin, Lingwen Dai and Shuai Song
Sustainability 2021, 13(3), 1485; https://0-doi-org.brum.beds.ac.uk/10.3390/su13031485 - 01 Feb 2021
Cited by 18 | Viewed by 3273
Abstract
With the steady advancement of the United Nations Sustainable Development Goals (SDGs), how to build a sustainable environment for human settlements has become a hot topic of research for scholars from various countries. Rational space utilization and resource allocation are the keys to [...] Read more.
With the steady advancement of the United Nations Sustainable Development Goals (SDGs), how to build a sustainable environment for human settlements has become a hot topic of research for scholars from various countries. Rational space utilization and resource allocation are the keys to enhancing human well-being and achieving sustainable human settlements. A comprehensive human settlement environment evaluation system, which includes 14 indicators from the natural environment, infrastructure, and public services, was established in this study. The results showed that the habitat suitability area only accounted for 1.61% (2.05% after removing the nature reserve) and all centered on cities and radiated to the surrounding areas. A belt-like suitability distribution pattern of “Yi Jiang Liang He” (i.e., Brahmaputra, Lhasa, and Nianchu Rivers) is formed, and a point-like suitability distribution pattern of the Chamdo Karub District, Nagqu Seni District, and Ngari Shiquanhe Town are formed. The results of the driving factor analysis indicate that the level of public health development in infrastructure and various indicators in public services are the main factors influencing human settlement. There is not much difference in the natural environment in the populated regions, so the suitability of the natural environment is not a significant driving factor. In addition, the reliability of the assessment results was verified by a questionnaire survey of residents in the three regions, and the subjective satisfaction of the residents agreed with the ranking results of the objective evaluation. The evaluation results of this study provide theoretical and directional guidance for the improvement of human settlements on the Qinghai–Tibet Plateau. It will be a useful tool for evaluating human settlements in the region and has a reference significance for the formulation of macro-policy in high-altitude regions. Full article
(This article belongs to the Special Issue Geospatial Technologies and Geographical Information Systems for Sustainable Development)
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