Settlement Analysis Using Normalized Difference Built-Up Index (NDBI) and Land Surface Temperature (LST)

Ilham Alimuddin (1), Andang Suryana Soma (2), Bangun Mulyo Sukojo (3), Abdul Wahid Hasyim (4), Bahrul Hidayah (5)
(1) Department of Geological Engineering, University of Hasanuddin, Makassar, Indonesia
(2) Department of Geological Engineering, University of Hasanuddin, Makassar, Indonesia
(3) Faculty of Forestry,, University of Hasanuddin, Makassar, Indonesia
(4) Institut Teknologi 10 November, Surabaya, Jawa Timur, Indonesia
(5) Department of Geological Engineering, University of Hasanuddin, Makassar, Indonesia
How to cite (COMIEN) :
Alimuddin, I., Soma, A. S., Sukojo, B. M., Hasyim, A. W., & Hidayah, B. (2026). Settlement Analysis Using Normalized Difference Built-Up Index (NDBI) and Land Surface Temperature (LST). International Journal on Computational Engineering, 3(1). Retrieved from https://comien.org/index.php/comien/article/view/75
Citation Format :

The rapid increase in population and income per capita in Makassar City has led to a significant rise in land demand, resulting in land use changes and increased surface temperatures. This study aims to analyze densely populated settlement areas using the Normalized Difference Built-Up Index (NDBI) and Land Surface Temperature (LST) from 2019 to 2022. The research employed Landsat 8 OLI/TIRS satellite imageries and Arcmap software for data processing and analysis. The findings indicate that areas with high building density exhibit higher surface temperatures, while areas with dense vegetation show lower temperatures. The overlay analysis of LST and NDBI for 2013 and 2021 reveals that non-built-up areas experienced a temperature increase from 24°C to 29°C, and high vegetation density areas maintained lower temperatures around 24°C. The study concludes that urban heat islands are significantly influenced by land use changes, particularly the reduction of green spaces and the increase in built-up areas. The research underscores the importance of sustainable urban planning to mitigate the adverse effects of urbanization on local climate. Future studies should incorporate higher spatial resolution data and field verification to enhance the accuracy of the findings.