Analisis Spasial dan Temporal Temperatur Permukaan Gunung Api Ruang Menggunakan Citra Satelit Landsat 8 Tirs
Main Article Content
Abstract
Indonesia is the country with the most mountains. The number of volcanoes in Indonesia is around 500. Of these, 129 are active volcanoes. This study aims to map the distribution of temperature and determine the direction of surface heat flow of Ruang Volcano before an eruption. This research was conducted by temporally analyzing the temperature distribution in Ruang Volcano to predict the direction of geological structure openings in the area using remote sensing methods. The analysis was carried out temporally using thermal infrared band 10 image data to determine the direction of heat flow according to the resulting distribution map. The analysis results show that the surface temperature distribution map of Ruang Volcano before the eruptions in 2015, 2019, and 2024 shows a similar pattern. Based on the surface temperature distribution map of Ruang Volcano, the direction of flow before the eruption comes from the northeast.
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
References
Chao, J., Zhao, Z., Lai, Z., Xu, S., Liu, J., Li, Z., Zhang, X., Chen, Q., Yang, H., & Zhao, X. (2022). Detecting geothermal anomalies using Landsat 8 thermal infrared remote sensing data in the Ruili Basin, Southwest China. Environmental Science and Pollution Research, 30(11), 32065–32082. https://doi.org/10.1007/s11356-022-24417-3
García‐Martínez, N., Girona, T., & Benavente, D. (2025). On Steam‐Driven Thermal Anomalies at Active Volcanoes Through Laboratory and Numerical Experiments. Journal of Geophysical Research: Solid Earth, 130(9). https://doi.org/10.1029/2025JB031598
Khairunnisa, & Namigo, E. L. (2026). Pemetaan Potensi Panas Bumi Menggunakan Penginderaan Jauh dan Analisis Multikriteria Berbasis AHP di Surian, Kabupaten Solok, Sumatera Barat. Jurnal Fisika Unand, 15(1), 110–116. https://doi.org/10.25077/jfu.15.1.110-116.2026
Landsat 8 (L8) Data Users Handbook. (2019).
Mardiati, D., Rachman, M. G., Adha, I., Utama, P. P., Kurniawan, O., & Krisnabudhi, A. (2025). Pemantauan Suhu Puncak Gunung Merapi menggunakan Land Surface Temperature (LST) Citra Landsat Tahun 2020-2025 untuk Analisis Aktivitas Vulkanik. Jurnal Ilmiah Geomatika, 5(1), 35–43. https://doi.org/10.31315/imagi.v5i1.14886
Mukti, M., Tomaszewska, B., Starczewska, M., & Ningrum, E. O. (2022). Geological and environmental implications of the utilisation of geothermal energy in the Lahendong working area, Indonesia. Geology, Geophysics and Environment, 48(1), 69–82. https://doi.org/10.7494/geol.2022.48.1.69
Napoli, R., Currenti, G., Giammanco, S., Greco, F., & Maucourant, S. (2020). Imaging the Salinelle Mud Volcanoes (Sicily, Italy) using integrated geophysical and geochemical surveys. Annals of Geophysics, 63(4), PE442. https://doi.org/10.4401/ag-8215
Soszynska, A., Groen, T., Bonyo, E., van der Werff, H., Hewson, R., Reeves, R., & Hecker, C. (2024). Detection of Land Surface Temperature anomalies using ECOSTRESS in Olkaria geothermal field. Remote Sensing of Environment, 305, 114103. https://doi.org/10.1016/j.rse.2024.114103
Suwarsono, S., Hidayat, H., Suprapto, T., Yulianto, F., Sari, N. M., Parwati, P., & Asriningrum, W. (2015). DETEKSI GEJALA ERUPSI STROMBOLIAN GUNUNGAPI RAUNG JAWA TIMUR MENGGUNAKAN NORMALIZED THERMAL INDEX DARI DATA MODIS. Jurnal Penginderaan Jauh Dan Pengolahan Data Citra Digital, 12(2), 133–145. https://doi.org/10.30536/inderaja.v12i2.3315
Umniyyah, U., Arini, D., Fajrin, & Driptufany, D. M. (2026). Pemetaan Deformasi Gunung Api Menggunakan Metode Diffrential Interferometry Syntetic Aperature Radar (DInSAR). Jurnal Sains Dan Ilmu Terapan, 9, 67–76. https://doi.org/10.59061/jsit.v9i1.1362
Yáñez-Dávila, D., Santoyo, E., González-Partida, E., Pandarinath, K., Santos-Raga, G., Mishra, S., & Gómez-Salgado, Z. G. (2024). Hydrothermal Signatures Discovered in Outcropping Rocks of the Los Humeros Geothermal Field (Mexico): A Geochemometric Exploration Case Study. Geofluids, 2024(1). https://doi.org/10.1155/2024/2316078