Spatiotemporal Analysis of Surface Temperature Changes and Their Associated Factors in West Java

Authors

  • Sodikin Master’s Study Program in Environmental Studies, Graduate School, Universitas Terbuka, South Tangerang, Indonesia Author

DOI:

https://doi.org/10.70716/reswara.v4i3.821

Keywords:

Land Surface Temperature, LST Change, Built-Up Areas, Remote Sensing, West Java

Abstract

Land Surface Temperature (LST) is an important indicator for understanding environmental dynamics associated with regional development and changes in biophysical conditions. This study aimed to analyze the spatial-temporal changes in LST and identify anthropogenic and biophysical factors associated with surface temperature changes in West Java Province during 2014–2026. The analysis was conducted for 2014, 2018, 2022, and 2026 using Landsat 8 and Landsat 9 Collection 2 Level-2 imagery processed through Google Earth Engine. LST was derived from surface temperature data, while the analyzed factors included changes in NDVI, NDBI, built-up areas, building density, elevation, slope, water-body density, and soil moisture. LST changes were analyzed using image differencing and classified into five categories. Pearson correlation analysis was applied to examine the relationships between LST changes and the selected factors. The results showed heterogeneous spatial patterns of LST changes, with increasing temperatures mainly occurring in urban areas, development corridors, lowland regions, and several coastal areas. Changes in built-up areas showed the strongest relative correlation with LST changes (|r|=0.061), although the relationship remained very weak, followed by changes in NDBI (|r|=0.046), while changes in soil moisture showed the weakest correlation (|r|=0.002). Overall, LST changes represent a complex phenomenon that cannot be explained by a single factor. Therefore, a multivariate approach and integrated spatial management are needed to better understand thermal dynamics and support climate-resilient regional development in West Java.

References

Asi, A. N. H., Supriatna, S., & Zulkarnain, F. (2022). Spatial study of land cover changes and land surface temperature in Bekasi Regency, West Java, Indonesia. IOP Conference Series: Earth and Environmental Science, 1111(1), 012024. https://doi.org/10.1088/1755-1315/1111/1/012024

Beaugrand, G., Reid, P. C., & Conversi, A. (2025). Acceleration of changes in global surface temperature after the Earth system has crossed a tipping point. Climate Research. https://doi.org/10.3354/cr01756

Chakraborty, T., & Qian, Y. (2024). Urbanization exacerbates continental- to regional-scale warming. One Earth. https://doi.org/10.1016/j.oneear.2024.05.005

Chen, J., Qian, Y., Chakraborty, T., & Yang, Z. (2024). Complexities of urban impacts on long-term seasonal trends in a mid-sized arid city. Environmental Research Communications, 6. https://doi.org/10.1088/2515-7620/ad2b18

Gogoi, P. P., Vinoj, V., Swain, D., Roberts, G., Dash, J., & Tripathy, S. (2019). Land use and land cover change effect on surface temperature over Eastern India. Scientific Reports, 9. https://doi.org/10.1038/s41598-019-45213-z

Halefom, A., He, Y., Nemoto, T., Feng, L., Li, R., Raghavan, V., Jing, G., Song, X., & Duan, Z. (2024). The impact of urbanization-induced land use change on land surface temperature. Remote Sensing, 16, 4502. https://doi.org/10.3390/rs16234502

Hasyim, A. W., Sukojo, B. M., Anggraini, I. A., Fatahillah, E. R., & Isdianto, A. (2025). Urban heat island effect and sustainable planning: Analysis of land surface temperature and vegetation in Malang City. International Journal of Sustainable Development and Planning. https://doi.org/10.18280/ijsdp.200218

Hu, D., Meng, Q., Schlink, U., Hertel, D., Liu, W., Zhao, M., & Guo, F. (2022). How do urban morphological blocks shape spatial patterns of land surface temperature over different seasons? A multifactorial driving analysis of Beijing, China. International Journal of Applied Earth Observation and Geoinformation, 106, 102648. https://doi.org/10.1016/j.jag.2021.102648

Kanga, S., Meraj, G., Johnson, B., Singh, S., MuhammedNaseef, P., Farooq, M., Kumar, P., Marazi, A., & Sahu, N. (2022). Understanding the linkage between urban growth and land surface temperature: A case study of Bangalore City, India. Remote Sensing, 14, 4241. https://doi.org/10.3390/rs14174241

Khan, M. S., Ullah, S., Sun, T., Rehman, A. U., & Chen, L. (2020). Land-use/land-cover changes and its contribution to urban heat island: A case study of Islamabad, Pakistan. Sustainability. https://doi.org/10.3390/su12093861

Liu, X., Li, Z., Li, Y., Wu, H., Zhou, C., Si, M., Leng, P., Duan, S., Yang, P., Wu, W., Tang, R., Liu, M., Shang, G.-F., Zhang, X., & Gao, M. (2023). Local temperature responses to actual land cover changes present significant latitudinal variability and asymmetry. Science Bulletin. https://doi.org/10.1016/j.scib.2023.09.046

Liviona, C. D. A., Saraswati, R., & Wibowo, A. (2020). The effect of NDVI and NDBI on land surface temperature in Cirebon City 2015 and 2019. E3S Web of Conferences, 202, 13006. https://doi.org/10.1051/e3sconf/202020213006

Oknisia, E., & Nugraini, L. D. (2025). Effectiveness of Normalized Difference Built-Up Index in mapping built-up features across arid rural regions. Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital. https://doi.org/10.12962/inderaja.v19i1.5084

Proutsos, N., Solomou, A., Petropoulou, M., & Chatzipavlis, N. E. (2022). Micrometeorological and hydraulic properties of an urban green space on a warm summer day in a Mediterranean city (Attica–Greece). Land. https://doi.org/10.3390/land11112042

Soltanifard, H., & Amani-Beni, M. (2025). The cooling effect of urban green spaces as nature-based solutions for mitigating urban heat: Insights from a decade-long systematic review. Climate Risk Management. https://doi.org/10.1016/j.crm.2025.100731

Tang, W., Zhou, J., Ma, J., Wang, Z., Ding, L., Zhang, X., & Zhang, X. (2024). TRIMS LST: A daily 1 km all-weather land surface temperature dataset for China's landmass and surrounding areas (2000–2022). Earth System Science Data. https://doi.org/10.5194/essd-16-387-2024

Wu, Z., & Zhang, Y. (2019). Water bodies’ cooling effects on urban land daytime surface temperature: Ecosystem service reducing heat island effect. Sustainability. https://doi.org/10.3390/su11030787

Yin, S., Liu, J., & Han, Z. (2022). Relationship between urban morphology and land surface temperature—A case study of Nanjing City. PLOS ONE, 17(2), e0260205. https://doi.org/10.1371/journal.pone.0260205

Zhang, Y., & Xie, H. (2019). Interactive relationship among urban expansion, economic development, and population growth since the reform and opening up in China: An analysis based on a vector error correction model. Land. https://doi.org/10.3390/land8100153

Zhou, S., Zheng, H., Liu, X., Gao, Q., & Xie, J. (2023). Identifying the effects of vegetation on urban surface temperatures based on urban-rural local climate zones in a subtropical metropolis. Remote Sensing, 15, 4743. https://doi.org/10.3390/rs15194743

Downloads

Published

2026-07-31

How to Cite

Sodikin, S. (2026). Spatiotemporal Analysis of Surface Temperature Changes and Their Associated Factors in West Java. RESWARA: Jurnal Riset Ilmu Teknik, 4(3), 1121-1134. https://doi.org/10.70716/reswara.v4i3.821