Evaluation from Rural to Urban Scale for the Effect of NDVI-NDBI Indices on Land Surface Temperature, in Samsun, Türkiye

Abstract

In this study, in order to evaluate the change of LST from rural to urban scale in 20 years, a zoonal statistical analysis was performed by separating the urban and rural districts located on the coastline. Algorithms were applied to the raw data of Landsat 8 and Landsat 7 satellite images, using the Arc Gis 10.2 and Q Gis 3.16 utilities. In this way, NDVI, NDBI and LST data were compared and evaluated in terms of rural and urban districts. The correlation coefficient between the parameters was calculated. In the study, the land change between the years 2000-2020 was also determined to reveal the land change. As a result of the analyzes made, the amount of green areas decreased by 14.1% between 2000 and 2020 in the study area, which includes the central districts of Samsun, İlkadım and Atakum, and in the rural areas, Bafra and Ondokuz Mayıs. It has been observed that this rate is shared as 7.1% in built up areas and 7.33% in bare soil areas. Considering the effect of the decrease in green areas on the LST value, in 2000, max. While LST is 41.75 C, in 2020 max. It is seen that LST has increased to 43.44 C. When the districts were analyzed separately, it was seen that LST established a strong correlation with NDBI (positive) and NDVI (negative) for all four districts. However, the correlation was stronger in rural districts. It was observed that the correlation strength weakened in urban districts due to heterogeneous land surface cover.

Evaluation Of The Relationship Between Spatial-Temporal Changes Of Land Use/Land Cover (Lulc) And Land Surface Temperature (Lst): A Case Study Of Nilüfer, Bursa

“…These results are important in terms of showing that vegetation areas decreased according to NDVI and SAVI calculations, water-covered areas decreased according to mNDWI calculations, and built areas increased according to NDBI calculations. The results of the negative and positive relationships of NDVI and NDBI with LST are in parallel with many studies in the literature (Chen & Zhang, 2017;Ranagalage et al, 2017;Malik et al, 2019;Jamei et al, 2019;Shahfahad et al, 2020;Halder et al, 2021;Yamak et al, 2021;Alademomi et al, 2022;Değerli & Çetin, 2022). The negative relationship between SAVI and LST also supports the study results of Akyürek (2020).…”

Использование Инструментов ГИС Для Обнаружения Изменений В Использовании И Покрытии Земли В Провинции Ханам, Вьетнам

“…5 a, b, c). The NDBI index is used to assess the level of urban development in the study area, the NDBI values increase as the built-up area increases and decreases when the built-up area decreases [Degerli, Çetin, 2022]. In 1992, the NDBI value ranged from -0.96 to +0.78 (Fig.…”

NDVI and NDBI indexes as indicators of the creation of urban heat islands in the Sarajevo basin

“…Numerous studies have indicated that bare soil and impervious surfaces are crucial factors inf luencing UHI, while vegetation and water surfaces can mitigate UHI formation (Song et al, 2014). Many researchers have explored the relationship between LST and built-up areas (Normalized Difference Built-up Index -NDBI) and vegetation (The Normalized Difference Vegetation Index -NDVI) indices (Chen et al, 2014;Guha et al, 2017;Değerli & Çetin, 2022;Alademomi et al, 2022;Haji et al, 2023). Research has confirmed the exceptional correlation between NDVI and LST, as well as between LST and NDBI.…”