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Volume 17
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10.3390/su17073194
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Article

Sustainability by Using IoT-PWS Data and Remote Sensing and Geographic Information Systems Technology in Erasmus+ Supported Project: The Case of Antalya/Aksu

by
Ercument Aksoy
1,
Gulsen Topcu
2,
Irfan Topcu
2,
Ayse Demirci
2,
Onder Kabas
3,* and
Mirela Nicoleta Dınca
4,*
1
Department of Architecture and City Planning, Geographic Information Systems, Technical Science Vocational School, Akdeniz University, 07070 Antalya, Turkey
2
Aksu Aircraft Maintenance Technology Vocational and Technical Anatolian High School, 07112 Antalya, Turkey
3
Department of Machine, Technical Science Vocational School, Akdeniz University, 07070 Antalya, Turkey
4
Department of Biotechnical Systems, Faculty of Biotechnical Systems Engineering, National University of Science and Technology Politehnica Bucharest, 060042 Bucharest, Romania
*
Authors to whom correspondence should be addressed.
Sustainability 2025, 17(7), 3194; https://doi.org/10.3390/su17073194
Submission received: 19 January 2025 / Revised: 18 March 2025 / Accepted: 1 April 2025 / Published: 3 April 2025
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Abstract

Due to climate change, situations that threaten humanity, such as temperature increases, drought, forest fires, sea level rise, erosion, floods, and migrations, are gradually increasing. Understanding climate change has gained more importance day by day due to the negative effects of disasters. Quantitative spatial analyses were carried out with the help of Remote Sensing (RS) and Earth Observation (EO) technology using Geographic Information Systems (GIS) by establishing an Internet of Things (IoT) Meteorological Station (IoT-PWS) with Erasmus+ support. The dataset consists of Road, Meteorological Station, Climate (Temperature, Wind Speed), Land Use—Land Cover (Copernicus LULC), and Population data. As a result of the findings of the research, it was determined that IoT-PWS has a positive contribution to many areas such as agriculture, traffic, scientific studies, local administration, and local public information in the region, and the positive contribution will continue as the station data flow continues. The study is designed as a guide to the use of GIS, RS, and EO technology for educators working on curriculum renewal and project implementation in the field of Environment and Combating Climate Change, one of the four key priorities of Erasmus+. The study contributes indirectly to all indicators in the Sustainable Development Goals as well as directly contributes to Goal 11, Goal 13, and Goal 15.
Keywords: Erasmus+; climate change; GIS; remote sensing; earth observation; meteorological station; IoT-PWS-PWS; sustainability; earth observation; SDGs Erasmus+; climate change; GIS; remote sensing; earth observation; meteorological station; IoT-PWS-PWS; sustainability; earth observation; SDGs

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MDPI and ACS Style

Aksoy, E.; Topcu, G.; Topcu, I.; Demirci, A.; Kabas, O.; Dınca, M.N. Sustainability by Using IoT-PWS Data and Remote Sensing and Geographic Information Systems Technology in Erasmus+ Supported Project: The Case of Antalya/Aksu. Sustainability 2025, 17, 3194. https://doi.org/10.3390/su17073194

AMA Style

Aksoy E, Topcu G, Topcu I, Demirci A, Kabas O, Dınca MN. Sustainability by Using IoT-PWS Data and Remote Sensing and Geographic Information Systems Technology in Erasmus+ Supported Project: The Case of Antalya/Aksu. Sustainability. 2025; 17(7):3194. https://doi.org/10.3390/su17073194

Chicago/Turabian Style

Aksoy, Ercument, Gulsen Topcu, Irfan Topcu, Ayse Demirci, Onder Kabas, and Mirela Nicoleta Dınca. 2025. "Sustainability by Using IoT-PWS Data and Remote Sensing and Geographic Information Systems Technology in Erasmus+ Supported Project: The Case of Antalya/Aksu" Sustainability 17, no. 7: 3194. https://doi.org/10.3390/su17073194

APA Style

Aksoy, E., Topcu, G., Topcu, I., Demirci, A., Kabas, O., & Dınca, M. N. (2025). Sustainability by Using IoT-PWS Data and Remote Sensing and Geographic Information Systems Technology in Erasmus+ Supported Project: The Case of Antalya/Aksu. Sustainability, 17(7), 3194. https://doi.org/10.3390/su17073194

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