Detection of the Post-Earthquake Damage in Mamuju Regency in January 2021 Using Sentinel-1 Satellite Imagery

Authors

  • Zulfha Diya Nur Ardzilla Geomatics Technology, Politeknik Pertanian Negeri Samarinda
  • Nia Kurniadin Geomatics Technology, Politeknik Pertanian Negeri Samarinda https://orcid.org/0000-0002-7748-378X
  • F. V. Astrolabe Sian Prasetya Geomatics Technology, Politeknik Pertanian Negeri Samarinda
  • Romansah Wumu Geomatics Technology, Politeknik Pertanian Negeri Samarinda
  • Dawamul Arifin Geomatics Technology, Politeknik Pertanian Negeri Samarinda
  • Shabri Indra Suryalfihra Geomatics Technology, Politeknik Pertanian Negeri Samarinda

DOI:

https://doi.org/10.51967/tanesa.v24i1.2495

Keywords:

Change Detection, Earthquake, Mamuju Regency, Sentinel-1, Threshold Classification

Abstract

Friday, January 15 2021 at 02:28:21 Local Time, a tectonic earthquake with a magnitude of 6.2 occurred in Mamuju Regency. The epicenter of the earthquake was on land and at 38 km in depth, 6 km to the northeast of Majene, West Sulawesi Province. This earthquake has damaged buildings such as the West Sulawesi Governor’s Office, the Mitra Manakara Hospital, and landslides at several points on Mamuju – Majene highway. The purpose of this research is to determine the post-earthquake damage that occurred in Mamuju Regency and to find out the area that was detected because of the earthquake. By using Sentinel-1 satellite image data and the change detection method from two Sentinel-1 SAR images, ESA SNAP software is used for data processing by using a threshold classification on the images before and after the earthquake, then converting Raster to Vector, Clip according to the boundaries of Mamuju Regency and Layouts using ArcGIS software. The results of this study are the detection of the post-earthquake damage that occurred in Mamuju Regency of 100.64 km2 (14.78%) total area of damage detected. This research also obtained post-earthquake damage detection maps.

References

Ariyantoni, J., & Rokhmana, C. A. (2020). Evaluasi Polarisasi Citra SAR (Syhthetic Aperture Radar) Untuk Klasifikasi Obyek Tutupan Lahan. Elipsoida : Jurnal Geodesi Dan Geomatika, 3(01), 22–29. https://doi.org/10.14710/elipsoida.2020.7761

Badan Pusat Statistik. (2022). Kabupaten Mamuju dalam Angka 2022. In BPS Kabupaten Mamuju.

Bariguna, D. (2008). Studi Tingkat Kekeruhan Air Menggunakan Citra RADAR AIRSAR: Vol. Skripsi. Institut Pertanian Bogor.

Bashiir, M. F., & Kurniadin, N. (2021). Deteksi Kerusakan Perkotaan Akibat Gempa Bumi di Kota Palu Menggunakan Data Satelit Sentinel-1. Buletin Poltanesa, 22(1), 66–69. https://doi.org/10.51967/tanesa.v22i1.330

ESA. (2018). Sentinel-1 SAR User Guide. European Space Agency; European Space Agency. https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-1-sar

Fan, X., Scaringi, G., Korup, O., West, A. J., van Westen, C. J., Tanyas, H., Hovius, N., Hales, T. C., Jibson, R. W., Allstadt, K. E., Zhang, L., Evans, S. G., Xu, C., Li, G., Pei, X., Xu, Q., & Huang, R. (2019). Earthquake-Induced Chains of Geologic Hazards: Patterns, Mechanisms, and Impacts. In Reviews of Geophysics (Vol. 57, Issue 2). https://doi.org/10.1029/2018RG000626

Hussein, S. (2022). Komponen Penginderaan Jauh. Geospasialis. https://geospasialis.com/komponen-penginderaan-jauh/

Kusmaryanto, S. (2013). Orbit Satelit. In Komunikasi Satelit (Vol. 1, p. 26).

Lillesand, T. M., & Kiefer, R. W. (2004). Remote Sensing and Image Interpretation. Gadjah Mada University Press.

Mullissa, A., Vollrath, A., Odongo-Braun, C., Slagter, B., Balling, J., Gou, Y., Gorelick, N., & Reiche, J. (2021). Sentinel-1 sar backscatter analysis ready data preparation in google earth engine. Remote Sensing, 13(10). https://doi.org/10.3390/rs13101954

Mulyawan, I. (2022). Rekam Jejak Sejarah Gempa Bumi di Sulbar, Berada di Jalur Ring of Fire, Terjadi Sejak 1967. Tribun Sulbar. https://sulbar.tribunnews.com/2022/06/09/rekam-jejak-sejarah-gempa-bumi-di-sulbar-berada-di-jalur-ring-of-fire-terjadi-sejak-1967

Nur, A. M. (2010). Gempa Bumi, Tsunami Dan Mitigasinya. Jurnal Geografi, 7(1). https://doi.org/10.15294/jg.v7i1.92

Nusantara, A. F., & Sari, D. K. (2022). Deteksi Penurunan Muka Tanah Menggunakan Metode Dinsar dengan Data Sentinel -A (Studi Kasus: Wilayah Cekungan Bandung, Tahun 2020-2021). FTSP Series: Seminar Nasional Dan Diseminasi Tugas Akhir 2022, 288–294.

Potin, P., Rosich, B., Grimont, P., Miranda, N., Shurmer, I., O’Connell, A., Torres, R., & Krassenburg, M. (2016). Sentinel-1 Mission Status. Proceedings of EUSAR 2016: 11th European Conference on Synthetic Aperture Radar, 1–6. https://ieeexplore.ieee.org/document/7559246

Puteri, S. H. (2020). Pengenalan terhadap Synthetic Aperture Radar (SAR). Medium. https://sryhandiniputeri.medium.com/pengenalan-terhadap-synthetic-aperture-radar-sar-538bc0e59189

Rany, T. D., & Mundilarto, M. (2021). Development of Learning Media for Earthquake Disaster Through Physics Subjects to Improve Problem Solving Ability and Disaster Preparedness. Jurnal Pendidikan Fisika Indonesia, 17(2). https://doi.org/10.15294/jpfi.v17i2.27421

Sergieieva, K. (2023). Types Of Satellites: Different Orbits & Real-World Uses. EOS Data Analytic. https://eos.com/blog/types-of-satellites/

Siregar, S. (2017). Fisika Tata Surya (1st ed.). Penerbit Fakultas Matematika dan Ilmu Pengetahuan Alam ITB. http://www.fmipa.itb.ac.id

Somantri, L. (2008). Pemanfaatan Teknik Penginderaan Jauh Untuk Mengidentifikasi Kerentanan Dan Risiko Banjir. Jurnal Geografi, 8(2). https://doi.org/https://doi.org/10.17509/gea.v8i2.1697.g1148

Tarikhi, P. (2012). Insar of Aquatic Bodies. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXIX-B7(September), 85–90. https://doi.org/10.5194/isprsarchives-xxxix-b7-85-2012

Yalcin, I., Kocaman, S., & Gokceoglu, C. (2020). A CitSci approach for rapid earthquake intensity mapping: A case study from Istanbul (Turkey). ISPRS International Journal of Geo-Information, 9(4). https://doi.org/10.3390/ijgi9040266

Downloads

Published

2023-06-25

How to Cite

Ardzilla, Z. D. N., Kurniadin, N., Prasetya, F. V. A. S., Wumu, R., Arifin, D., & Suryalfihra, S. I. (2023). Detection of the Post-Earthquake Damage in Mamuju Regency in January 2021 Using Sentinel-1 Satellite Imagery. Buletin Poltanesa, 24(1), 100–108. https://doi.org/10.51967/tanesa.v24i1.2495

Issue

Section

Geomatics Technology