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

Ercument Aksoy, Gulsen Topcu, Irfan Topcu, Ayse Demirci, Onder Kabas () and Mirela Nicoleta Dınca ()
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Ercument Aksoy: Department of Architecture and City Planning, Geographic Information Systems, Technical Science Vocational School, Akdeniz University, 07070 Antalya, Turkey
Gulsen Topcu: Aksu Aircraft Maintenance Technology Vocational and Technical Anatolian High School, 07112 Antalya, Turkey
Irfan Topcu: Aksu Aircraft Maintenance Technology Vocational and Technical Anatolian High School, 07112 Antalya, Turkey
Ayse Demirci: Aksu Aircraft Maintenance Technology Vocational and Technical Anatolian High School, 07112 Antalya, Turkey
Onder Kabas: Department of Machine, Technical Science Vocational School, Akdeniz University, 07070 Antalya, Turkey
Mirela Nicoleta Dınca: Department of Biotechnical Systems, Faculty of Biotechnical Systems Engineering, National University of Science and Technology Politehnica Bucharest, 060042 Bucharest, Romania

Sustainability, 2025, vol. 17, issue 7, 1-19

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 (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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