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Editorial

Special Issue “GIS Applications in Green Development”

Department of Digital Systems, University of Piraeus, 18534 Piraeus, Greece
Submission received: 25 September 2023 / Accepted: 27 September 2023 / Published: 29 September 2023
(This article belongs to the Special Issue GIS Applications in Green Development)
In the context of climate change, the role of Geographic Information Systems (GIS) in green developments cannot be overstated. The application of smart GIS is the linchpin for decision makers tasked with designing and monitoring climate-conscious solutions at local, national, and international scales. With 75% of the Earth’s surface now impacted by human activities, it is imperative to expand the use of smart GIS to predict and mitigate the impact of these activities across forests, oceans, urban and rural areas, transportation networks, and production sites. This Special Issue of Applied Sciences, titled “GIS Applications in Green Development”, explores the pivotal role of GIS in advancing sustainability across diverse domains.
The five papers presented in this Special Issue consider the potential intersection of GIS and green developments in urban planning, renewable energy integration, disaster management, and the energy sector. According to Ostapenko et al. [1], the potential to implement renewable energy sources in Ukraine is scrutinized using global and local Geographic Information Systems (GIS). The study highlights GIS’s prowess in identifying suitable territories for renewable energy development, assessing technical potential and facilitating the integration of renewable energy technologies in Ukraine’s energy sector. Zorzano-Alba et al. [2] addressed the sensitive issue of the visual impact associated with renewable energy infrastructure, introducing a novel methodology for identifying optimal locations for photovoltaic power plants, especially in areas of cultural or scenic significance. Maniatis et al. [3] focused on fire risk mapping in the context of climate change. The authors presented an innovative approach, incorporating recent land cover changes, to highlight regions with a high fire risk. Through the integration of a support vector machine (SVM) algorithm and the analytic hierarchy process (AHP) within a GIS framework, the authors created a robust fire risk estimation model. The model identifies high-risk areas in the Dadia-Lefkimi-Soufli National Forest Park, Greece, (although it can be adapted for other regions) reinforcing the vital role of GIS in disaster management. Pinna et al. [4] offer a comprehensive assessment of Sardinia’s rooftop photovoltaic potential using GIS data and an efficient shadow calculation algorithm. Their innovative approach provides a high-resolution, full census evaluation of the photovoltaic potential, which can be applied on a regional scale. By estimating not only the geographic but also the technical and economic potential, the paper exemplifies how GIS facilitate large-scale renewable energy planning. Yildiz [5] explores the wind energy potential of Balıkesir Province, Turkey, through GIS functions. The study employs wind speed data from meteorological stations and extrapolates it to create a wind speed map, enhancing this methodology by using an equation for turbine placement that is compliant with national regulations. This innovative approach enables the calculation of wind energy potential across the province, contributing to the knowledge regarding renewable energy assessments using GIS.
The collection of papers in this Special Issue emphasizes that GIS are more than a technology; in fact, they are an indispensable tool in the quest for green developments and sustainable management. By providing insights, data-driven decision support, and innovative methodologies, GIS empower us to address the profound environmental challenges of our time.

Acknowledgments

I would like to express my gratitude to the authors, reviewers, and the Applied Sciences team for their contributions to this Special Issue.

Conflicts of Interest

The author declares no conflict of interest.

References

  1. Ostapenko, O.; Olczak, P.; Koval, V.; Hren, L.; Matuszewska, D.; Postupna, O. Application of Geoinformation Systems for Assessment of Effective Integration of Renewable Energy Technologies in the Energy Sector of Ukraine. Appl. Sci. 2022, 12, 592. [Google Scholar] [CrossRef]
  2. Zorzano-Alba, E.; Fernandez-Jimenez, L.A.; Garcia-Garrido, E.; Lara-Santillan, P.M.; Falces, A.; Zorzano-Santamaria, P.J.; Capellan-Villacian, C.; Mendoza-Villena, M. Visibility Assessment of New Photovoltaic Power Plants in Areas with Special Landscape Value. Appl. Sci. 2022, 12, 703. [Google Scholar] [CrossRef]
  3. Maniatis, Y.; Doganis, A.; Chatzigeorgiadis, M. Fire Risk Probability Mapping Using Machine Learning Tools and Multi-Criteria Decision Analysis in the GIS Environment: A Case Study in the National Park Forest Dadia-Lefkimi-Soufli, Greece. Appl. Sci. 2022, 12, 2938. [Google Scholar] [CrossRef]
  4. Pinna, A.; Massidda, L. A Complete and High-Resolution Estimate of Sardinia’s Rooftop Photovoltaic Potential. Appl. Sci. 2023, 13, 7. [Google Scholar] [CrossRef]
  5. Yildiz, S.S. Determining Wind Energy Potential Using Geographic Information System Functions: A Case Study in Balıkesir, Turkey. Appl. Sci. 2023, 13, 9183. [Google Scholar] [CrossRef]
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MDPI and ACS Style

Maniatis, Y. Special Issue “GIS Applications in Green Development”. Appl. Sci. 2023, 13, 10856. https://0-doi-org.brum.beds.ac.uk/10.3390/app131910856

AMA Style

Maniatis Y. Special Issue “GIS Applications in Green Development”. Applied Sciences. 2023; 13(19):10856. https://0-doi-org.brum.beds.ac.uk/10.3390/app131910856

Chicago/Turabian Style

Maniatis, Yannis. 2023. "Special Issue “GIS Applications in Green Development”" Applied Sciences 13, no. 19: 10856. https://0-doi-org.brum.beds.ac.uk/10.3390/app131910856

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