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Sumarmi, S., Sarah Rodhiah Mariza, S., Rena Anggia Sari, R., Rayhan Pratama, M., & Tanjung, A. (2022). The Effect of Vegetation Density on Land Surface Temperature in Klojen District. KnE Social Sciences, 7(16), 426–437. https://doi.org/10.18502/kss.v7i16.12186

https://doi.org/10.18502/kss.v7i16.12186

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authors

  • Sumarmi Sumarmi

    Sumarmi Sumarmi

    Department of Geography, Universitas Negeri Malang, East Java, Indonesia
  • Siti Sarah Rodhiah Mariza

    Siti Sarah Rodhiah Mariza

    Department of Geography, Universitas Negeri Malang, East Java, Indonesia
  • Risky Rena Anggia Sari

    Risky Rena Anggia Sari

    Department of Geography, Universitas Negeri Malang, East Java, Indonesia
  • Muhammad Rayhan Pratama

    Muhammad Rayhan Pratama

    Department of Geography, Universitas Negeri Malang, East Java, Indonesia
  • Ardyanto Tanjung

    Ardyanto Tanjung

    Department of Geography, Universitas Negeri Malang, East Java, Indonesia

Published Date

  • Oct 12, 2022

The Effect of Vegetation Density on Land Surface Temperature in Klojen District

KnE Social Sciences / 3rd International Conference on Geography and Education (ICGE) / Pages 426–437

Abstract

Due to its increased population, the Klojen District has become the center of government and economy in Malang City. Overpopulation has caused an increase in land conversion and a decrease in vegetation area, resulting in the Urban Heat Island effect or increased land surface temperature (LST) in urban areas. This study aimed to determine the effect of the normalized difference vegetation index (NDVI) on LST in the Klojen District. The data were processed by interpreting Landsat 8 satellite imagery using NDVI and LST analyses in 2018 and 2020, and the two variables were tested for linear regression. The regression test results showed that the NDVI and LST in 2018 and 2020 had a negative correlation. The data indicated that as vegetation density increased, the LST decreased, and vice-versa. According to the NDVI-LST coefficient of determination value, the correlation in 2020 was higher than in 2018, indicating that the NDVI-LST correlation became stronger every year with a coefficient of determination value between 0.67 and 0.81.


Keywords: vegetation density, land surface temperature, NDVI

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