Water Bodies and Land Cover as Micro-Climatic Regulators: A Spatial Analysis Using AI-Supported Remote Sensing Data


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Kahraman E., Selim S.

10. International Mediterranean Scientific Research And Innovation Congress, Antalya, Türkiye, 11 - 12 Nisan 2026, ss.741-752, (Tam Metin Bildiri)

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Antalya
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.741-752
  • Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
  • Akdeniz Üniversitesi Adresli: Evet

Özet

Global climate change has led to a widespread increase in surface temperatures and significant alterations in local climate systems. Rising atmospheric temperatures, land use changes, and variations in water bodies exert considerable influence on Land Surface Temperature (LST), particularly in areas characterized by intense land–water interactions. In this context, water bodies and surrounding land cover patterns play a critical role in shaping regional microclimatic conditions.

This study aims to evaluate the spatial relationship between land cover and LST in and around Alakır Reservoir in Antalya Province, within a 5 km buffer zone. Within the scope of the analysis, a land surface temperature map was generated using Landsat 8 satellite imagery. Corresponding to the same date, artificial intelligence–based land cover classes were obtained from the ArcGIS Living Atlas platform. This dataset, developed through collaboration between Esri and Earth Observatory and derived from Sentinel-2 imagery, is openly accessible. To assess the relationship between land cover classes and LST values, zonal statistical analysis was applied, and surface temperature values corresponding to each land use category were determined.

The results were interpreted in the context of the region’s climatic characteristics, vegetation distribution, and topographic structure. The findings are expected to demonstrate the regulating effect of water bodies and natural land cover on surface temperature and to contribute to regional-scale planning processes, providing decision-support insights for local authorities.