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Dergiler / International Journal of Engineering and Geosciences / 2019 / Cilt: 4 - Sayı: 1

Outlier detection of land surface temperature: Küçükçekmece Region

Lütfiye KUŞAK
Ufuk Fatih KÜÇÜKALİ
Sayfa
1–7
Yayın Tarihi
2022-10-19
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The reasons for the outliers outside the standard surface temperature values and recommended solutions were discussed.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Unplanned and rapid urbanization is one of the reasons for the rising surface temperature values in urban areas.
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Temel Bulgular & Veri:Correlations between Land Surface Temperature (LST) values obtained for Küçükçekmece and its vicinity was examined using Landsat OLI images of June 20, 2016 and June 23, 2017, and LST outliers and regions with common outliers of/on both days were determined.
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Sonuç & Katkı:The reasons for the outliers outside the standard surface temperature values and recommended solutions were discussed.
🔬Tür:Araştırma Makalesi
📍Kapsam:2016 Verileri
⚙️Değişkenler:LST · Outlier · Box Plot

Abstract

Unplanned and rapid urbanization is one of the reasons for the rising surface temperature values in urban areas. There is a considerable amount of literature demonstrating the association of urbanization with surface temperatures. Küçükçekmece Lake, an important lake which has been meeting utility water needs of Istanbul, and unplanned and rapid urbanization around it have been affected by this inevitable change for years. Although surface temperatures generally correlate strongly with each other, very high and very low temperature values should not be disregarded and need to be investigated. The current study was conducted with the assumption that these values could be outlier values and thus they were analyzed using the Box Plot method for the selected region. Correlations between Land Surface Temperature (LST) values obtained for Küçükçekmece and its vicinity was examined using Landsat OLI images of June 20, 2016 and June 23, 2017, and LST outliers and regions with common outliers of/on both days were determined. In the study, 310 LST outliers were identified for June 20, 2016 and 34 LST outliers for June 23, 2017, and in both images, 33 outliers were found to be common and they clustered in two different buildings. The reasons for the outliers outside the standard surface temperature values and recommended solutions were discussed.

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Bu Makaleye Atıf Yap

KUŞAK, L., KÜÇÜKALİ, U. F. (2022). Outlier detection of land surface temperature: Küçükçekmece Region. International Journal of Engineering and Geosciences, Cilt: 4 - Sayı: 1, 1–7. https://ajindex.com/articles/540714

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Kaynakça (11)

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