Yer Yüzey Sıcaklığı (LST) ve Normalleştirilmiş Fark Bitki Örtüsü (NDVI) Arasındaki İlişkinin Değerlendirilmesi

Abstract

Gün geçtikçe artan iklim değisikliği ve etkileri hayatı olumsuz etkilemektedir. Dünya ortalama sıcaklığı artmakta ve yağış rejimi iklim değisikliği etkileri ile değişmektedir. Bu çalışmada 2013-2018 ve 2023 yılları için Muş ili özelinde yer yüzey sıcaklıklarındaki (LST) değişimler ve normalleştirilmiş fark bitki örtüsü indeksi (NDVI) hesaplamaları yapılmış ve haritalandırılmıştır. Elde edilen NDVI ve LST sonuçları karşılaştırılmış ve korelasyon analizi yapılmıştır. 2018 yılında en yüksek LST değerleri elde edilmiştir. Çalışma alanının özellikle güneybatısı ve kuzeybatısında NDVI değerlerine göre daha fazla bitki örtüsüne sahip olduğu görülmüştür. LST değerlerinin ortalama sıcaklıktaki değişimle paralel sonuçlar gösterdiği, örneğin ortalama sıcaklığın 2018 yılında arttığı, 2023 yılında ise düştüğü, LST değerlerinde de aynı sonuçların gözlendiği görülmüştür. Oluşturulan uzay mekansal haritalar incelendiğinde NDVI değerinin düşük olduğu bölgelerde LST değerlerinin daha yüksek olduğu gözlense de, NDVI ve LST arasında çalışma periyodu süresince güçlü bir korelasyon gözlenmemiştir. Bu çalışma ile Muş ilindeki bitki örtüsü ve toprak sıcaklığındaki değişimler bölgesel ölçekte incelenebilecek ve gerekli tedbirler alınmasında faydalı olacaktır.

Keywords

• Yer Yüzey Sıcaklığı (LST)
• Normalleştirilmiş Fark Bitki Örtüsü (NDVI)
• Uzaktan Algılama
• Landsat 8

Evaluating the Correlation Between Land Surface Temperature (LST) and Normalized Difference Vegetation Index (NDVI)

Abstract

Climate change and its effects, which are increasing day by day, and adversely affect the human life. The world's average temperature trend is tend to increase and the precipitation regime is changing with the effects of climate change. In this study, changes in Land Surface Temperature and Normalized Difference Vegetation Index were calculated and mapped in Mus province for the years 2013-2018 and 2023. The obtained NDVI and LST results were compared and correlation analysis was performed. The highest values of LST were obtained in the year 2018. It was observed that the study area had more vegetation, especially in the southwest and northwest, according to NDVI values. It was observed that LST values demonstrated parallel results with the change in average temperature. For example, the average temperature increased in 2018, and decreased in 2023 and the same results were observed for the LST values. When the spatial-temporal maps were examined, it was observed that LST values were higher in regions where NDVI values were low, but a strong correlation between NDVI and LST was not observed during the study period. With this study, changes in vegetation and land surface temperature in Mus province can be examined on a regional scale and will be useful in taking necessary precautions.

Keywords

• Land surface temperature (LST)
• Normalized Difference Vegetation Index (NDVI)
• Remote sensing
• Landsat 8

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