Monitoring Dan Proyeksi Perkembangan Wilayah Perkotaan Di Pulau Kalimantan Menggunakan Data VIIRS Night-time Lights

Authors

  • Abimanyu Yudo Kuncoro Institut Teknologi Nasional Bandung Author
  • Soni Darmawan Institut Teknologi Nasional Bandung Author

Keywords:

Night-time Lights (NTL); VIIRS-DNB; kawasan urban; regresi linear; Pulau Kalimantan.

Abstract

Visible Infrared Imaging Radiometer Suite Day/Night Band (VIIRS-DNB) merupakan salah satu teknologi penginderaan jauh yang menghasilkan data Night-time Lights (NTL), yang dapat dimanfaatkan untuk menggambarkan aktivitas manusia pada malam hari serta memantau urbanisasi dan perkembangan wilayah. Penelitian ini bertujuan menganalisis dinamika spasial dan temporal Night-time Lights (NTL) di Pulau Kalimantan selama periode 2012–2024 serta memproyeksikan perkembangan wilayah hingga tahun 2045. Analisis dilakukan menggunakan data VIIRS Night-time Lights (VCMCFG) dari NOAA yang diolah melalui Google Earth Engine. Tren temporal dianalisis menggunakan regresi linear, sedangkan kawasan urban diekstraksi melalui pendekatan thresholding terhadap data Night-time Lights (NTL). Hasil penelitian ini menunjukkan bahwa rata-rata intensitas Night-time Lights (NTL) meningkat dari 0,093 nW/cm²/sr pada tahun 2012 menjadi 0,386 nW/cm²/sr pada tahun 2024 dengan nilai sebesar 0,93. Pada periode yang sama, luas kawasan urban bertambah dari 760 km² menjadi 2.344 km² atau meningkat sebesar 208,42%. Pada tingkat provinsi Kalimantan Timur memiliki luas kawasan urban terbesar 1.114 km², sedangkan Kalimantan Tengah mencatat laju pertumbuhan kawasan urban tertinggi 541,03%. Model regresi linear memproyeksikan luas kawasan urban mencapai sekitar 4.405 km² pada tahun 2045. Hasil penelitian ini menunjukkan bahwa data Night-time Lights (NTL) dapat dimanfaatkan sebagai indikator untuk memantau perkembangan kawasan urban serta mendukung perencanaan pembangunan wilayah di Pulau Kalimantan.

References

[1] J. Gibson, S. Olivia, and G. Boe-Gibson, "Night lights in economics: Sources and uses," Journal of Economic Surveys, vol. 34, no. 5, pp. 955–980, 2020.

[2] Badan Pusat Statistik, "Statistik Indonesia 2024". Jakarta, Indonesia: BPS RI, 2024.

[3] N. Zhao, E. L. Samson, and N. Currit, "Applications of nighttime light data in socioeconomic research," Remote Sensing, vol. 14, no. 3, Art. no. 617, 2022, https://doi.org/10.3390/rs11171971

[4] J. Xu, M. Kii, Y. Okano, and C. C. Chou, "Future scenarios of global urban expansion and carbon emissions with national heterogeneity: A mixed-effects model based on urban nighttime lights," Remote Sensing, vol. 17, no. 18, Art. no. 3251, 2025, doi: 10.3390/rs17183251.

[5] S. Singh, K. Jain, and A. Shukla, "GIS integration of land cover with night-time lights for spatiotemporal evaluation of urban expansion," The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XLVIII-1/W2-2023, pp. 1561–1568, 2023, doi: 10.5194/isprs-archives-XLVIII-1-W2-2023-1561-2023.

[6] G. McAvoy and K. P. Vadrevu, "Nighttime lights and population variations in cities of South/Southeast Asia: Distance-decay effect and implications," Remote Sensing, vol. 16, no. 23, Art. no. 4458, 2024, doi: 10.3390/rs16234458.

[7] N. Levin, C. C. M. Kyba, and Q. Zhang, "Remote sensing of night lights—Beyond DMSP," Remote Sensing, vol. 11, no. 12, Art. no. 1472, 2019, doi: 10.3390/rs11121472.

[8] W. Liang, R. Liu, and P. Kou, "Nighttime light dynamics reveal peri-urban brightening and population decoupling in the Chengdu Chongqing megaregion," Scientific Reports, vol. 16, Art. no. 4601, 2026, doi: 10.1038/s41598-025-34706-9.

[9] M. Kii, K. Matsumoto, and S. Sugita, "Future scenarios of urban nighttime lights: A method for global cities and its application to urban expansion and carbon emission estimation," Remote Sensing, vol. 16, no. 6, Art. no. 1018, 2024, doi: 10.3390/rs16061018

[10] Q. Zheng, K. C. Seto, Y. Zhou, S. You, and Q. Weng, "Nighttime light remote sensing for urban applications: Progress, challenges, and prospects," ISPRS Journal of Photogrammetry and Remote Sensing, vol. 202, pp. 125–141, 2023, doi: 10.1016/j.isprsjprs.2023.05.028.

[11] A. Pambuku, M. Elia, A. Gardelli, V. Giannico, G. Sanesi, A. S. Bergantino, et al., "Assessing urbanization dynamics using a pixel-based nighttime light indicator," Ecological Indicators, vol. 166, Art. no. 112486, 2024, doi: 10.1016/j.ecolind.2024.112486.

[12] C. Jing, W. Zhou, Y. Lin, C. Li, W. Liu, Y. Hua, and Z. Zhang, "Capacity of nighttime light data in measuring urban human activity: Evidence from SDGSAT-1 glimmer imagery and mobile phone data," International Journal of Digital Earth, vol. 18, no. 2, Art. no. 2589016, 2025, doi: 10.1080/17538947.2025.2589016.

[13] Z. Iba and A. Wardhana, Analisis Regresi dan Analisis Jalur untuk Riset Bisnis Menggunakan SPSS 29.0 & SMART-PLS 4.0. Sukoharjo, Indonesia: CV. Eureka Media Aksara, 2024.

[14] Y. Dou, Z. Liu, C. He, and H. Yue, "Urban land extraction using VIIRS nighttime light data: An evaluation of three popular methods," Remote Sensing, vol. 9, no. 2, Art. no. 175, 2017, doi: 10.3390/rs9020175.

[15] C. D. Elvidge, K. E. Baugh, M. Zhizhin, and F. C. Hsu, "Why VIIRS data are superior to DMSP for mapping nighttime lights," Proceedings of the Asia-Pacific Advanced Network, vol. 35, pp. 62–69, 2013.

[16] T.-H. K. Chen, W. Chen, E. C. Stokes, and Y. Zhou, "Detecting gaps between urban expansion and lighting infrastructure growth using daytime and nighttime satellite imagery," International Journal of Applied Earth Observation and Geoinformation, vol. 146, Art. no. 105087, 2026, doi: 10.1016/j.jag.2026.105087.

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Published

26/07/2026

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How to Cite

[1]
“Monitoring Dan Proyeksi Perkembangan Wilayah Perkotaan Di Pulau Kalimantan Menggunakan Data VIIRS Night-time Lights”, jse, vol. 11, no. 3, Jul. 2026, Accessed: Jul. 27, 2026. [Online]. Available: https://jse.serambimekkah.id/index.php/jse/article/view/2008

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