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Green/Geographic Information Systems (GIS) for Sustainable Development

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Environmental Sciences".

Deadline for manuscript submissions: closed (20 September 2024) | Viewed by 3691

Special Issue Editor


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Guest Editor
Department of Digital Systems, University of Piraeus, 18534 Piraeus, Greece
Interests: energy; environment; GIS; development
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The importance of green development in addressing the climate crisis and promoting environmental protection cannot be overstated. As smart cities become the future of urban environments, leveraging GIS to map and monitor various aspects of sustainable development becomes crucial. This Special Issue is particularly interested in the integrations of artificial intelligence, big data, IoT, and other cutting-edge technologies, which hold the potential to revolutionize sustainable practices and reduce global temperatures.

GIS is a perfect platform for mapping and monitoring, which can combine with new techniques and become the most important instruments in decision makers’ hands. Artificial intelligence, big data, computing technology, the Internet of Things, blockchain, 3D printing, robotics, advanced sensors, and 5G telecommunication are only some of the most crucial advancements bringing development on the market, as well as new and innovative applications for decreasing global temperature.

This Special Issue aims to discuss GIS’s green applications; we welcome research results from researchers including but not limited to:

  • Advanced techniques in GIS: models, algorithms, data mining techniques, decision support model, machine learning-based analysis, IoT-based GIS, components, GIS-assisted tools, GIS databases;
  • GIS for industry: industry and raw materials for decreasing CO2 emissions, transforming the production model by using green energy, improving recycling–reusing–reducing processes;
  • GIs in energy: distributed renewable energy sources and energy efficiency/savings, intelligent systems;
  • GIS in agriculture: decreasing usage of energy, water, fertilizers, and farming with sustainable methods;
  • GIS in transportation and logistics: with the necessity of smart transportation arrangements, with new fuels and electrifying all transportation means from private vehicles to ships and airplanes;
  • GIS in smart cities: smart daily and long-term local governance, net-zero buildings, improvement of public infrastructures’ resilience, and low energy consumption processes;
  • GIS in climate monitoring: spatiotemporal analysis; landscape; ecosystems; heat island effect; water resources.

All of the above, combined with GIS applications and information and communication technologies (ICT), offer a broader horizon for greening the production model in developed and developing countries.

Prof. Dr. Yannis Maniatis
Guest Editor

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Keywords

  • GIS
  • geographic information systems
  • remote sensing
  • spatial analysis
  • 2D/3D GIS analysis
  • mapping
  • monitoring
  • WebGIS, mobile GIS, distributed GIS GeoAI
  • geospatial data urban climate
  • urban landscape
  • urban ecosystems
  • urban heat island
  • 3D digital soil mapping
  • climate change
  • carbon emissions

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Published Papers (2 papers)

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Research

19 pages, 17392 KiB  
Article
Identification of Land Use Mix Using Point-Based Geospatial Data in Urban Areas
by Mehmet Ali Akyol, Tuğba Taşkaya Temizel, Sebnem Duzgun and Nazife Baykal
Appl. Sci. 2024, 14(16), 6871; https://doi.org/10.3390/app14166871 - 6 Aug 2024
Cited by 2 | Viewed by 1357
Abstract
Identifying land use mix (LUM) in urban areas is challenging, often requiring extensive human intervention and fieldwork. Accurate classification of LUM is crucial for various disciplines, including urban planning, urban economics, and public health. This study addresses this need by employing Voronoi triangulation [...] Read more.
Identifying land use mix (LUM) in urban areas is challenging, often requiring extensive human intervention and fieldwork. Accurate classification of LUM is crucial for various disciplines, including urban planning, urban economics, and public health. This study addresses this need by employing Voronoi triangulation and an entropy-based LUM formula using point-based geospatial data collected from publicly available sources. The methodology was tested in two distinct urban settings: Ankara and Kadıköy. Ankara, the capital city, provides a large and diverse urban environment, while Kadıköy, a district in Istanbul known for its dynamic urban life, offers a contrasting scenario. Results were analyzed concerning local spatial autocorrelation and point of interest (POI) intensity. The comparative analysis demonstrated that the approach performs well across different urban contexts, with improved results observed in Kadıköy due to its higher density of mixed-use development. Specifically, we managed to identify mixed land use areas with an accuracy of up to 78% and an F1-score of 83% in urban regions. These findings highlight the robustness and applicability of our approach in diverse urban environments, providing valuable insights for city planners and policymakers in optimizing the allocation of urban resources and enhancing land use efficiency. Full article
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21 pages, 4842 KiB  
Article
Geospatial Analysis for Tectonic Assessment and Soil Erosion Prioritization: A Case Study of Wadi Al-Lith, Red Sea Coast, Saudi Arabia
by Bashar Bashir and Abdullah Alsalman
Appl. Sci. 2023, 13(22), 12523; https://doi.org/10.3390/app132212523 - 20 Nov 2023
Cited by 4 | Viewed by 1566
Abstract
An investigation into tectonics and erosion reveals that they play an important role in causing uplifting, valley incision, and soil erosion. The analysis of drainage basins at different scales is irreplaceable in the development of sustainable plans, particularly in arid regions. Morphotectonics and [...] Read more.
An investigation into tectonics and erosion reveals that they play an important role in causing uplifting, valley incision, and soil erosion. The analysis of drainage basins at different scales is irreplaceable in the development of sustainable plans, particularly in arid regions. Morphotectonics and morphometric characterization analyses are very effective methods for defining the evolution of different landforms, current-day tectonic activity, and hydrological and morphological signatures of basins under investigation. The reorganization of critical drainage basins and sub-basin risk priority ranking are essential for effective and accurate sustainable plans for drainage basin management and water resources. In this study, the coupling of geospatial techniques and statistical strategies was used to examine the tectonic activity and priorities in terms of soil erosion for 15 sub-basins of Wadi Al-Lith along the Red Sea coast of Saudi Arabia. Two effective models, namely, the relative tectonic activity model and the weighted sum analysis model, were applied for examining each geomorphological and hydrological characteristic based on an analysis of the morphotectonics and morphometric parameters. Regarding the relative tectonic activity model, the 15 sub-basins were classified into three classes of tectonic activity: low, moderate, and high. Sub-basins 5, 6, 13, and 15 were considered to be in class 1 (high relative tectonic activity). On the other hand, the weighted sum analysis model assigned the sub-basins into three different ranks: low-, moderate-, and high-soil-erosion priorities. The current study’s results suggest that sub-basins 5, 6, 10, 13, and 15 were recorded within the high-soil-erosion zone and highly relative tectonic activity, covering approximately 53.52% of the total sub-basin areas. The relative tectonic activity and weighted sum analysis models proved their validity in the risk studies, which will be very useful for decision makers in various fields, including natural resources and agriculture. Full article
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