Deformasi Permukaan pada Manifestasi Gunung Lumpur di Wilayah Cekungan Jawa Timur dari Pengolahan Data SAR menggunakan Metode PS-InSAR
Keywords:
ALOS PALSAR-1, Deformasi, Gunung Lumpur, PS-InSAR, Sentinel 1AAbstract
Penelitian ini menyajikan hasil pengolahan data SAR dengan metode Permanent Scatterer Interferometric SAR (PS-InSAR) yang bertujuan untuk menganalisa pola dan nilai deformasi muka tanah akibat manifestasi gunung lumpur di wilayah Cekungan Jawa Timur. Dengan menggunakan metode PS-InSAR pada pengolahan data time series untuk citra SAR L-band ALOS PALSAR 1 tahun 2007-2009 dan C-band Sentinel 1A tahun 2015-2019, besarnya deformasi yang didapat dapat sampai ketelitian satuan milimeter. Hasil yang diperoleh menunjukkan bahwa untuk pengolahan tahun 2007-2009 tidak dapat dijadikan informasi deformasi karena kurangnya ketersediaan jumlah citra sebagai syarat pengolahan metode PS-InSAR, sedangkan hasil pengolahan tahun 2015-2019 menunjukkan pola dan nilai deformasi yang berbeda pada tiap lokasi. Pada Gunung Lumpur Sidoarjo terjadi penurunan muka tanah rata-rata sebesar 5,46 mm/th. Gunung Lumpur Gununganyar mengalami kenaikan muka tanah rata-rata sebesar 1,71 mm/th dan penurunan muka tanah sebesar 7,08 mm/th. Gunung Lumpur Kalanganyar mengalami kenaikan muka tanah rata-rata sebesar 0,99 mm/th. Gunung Lumpur Wringinanom mengalami kenaikan muka tanah rata-rata sebesar 3,37 mm/th, dan Gunung Lumpur Bujhel Tasek Bini dan Laki mayoritas mengalami kenaikan muka tanah rata-rata 2,88 mm/th. Hasil analisis penelitian ini dapat dimanfaatkan sebagai bahan pertimbangan dalam kegiatan pembangunan atau konstruksi pada wilayah di sekitar manifestasi gunung lumpur di Provinsi Jawa Timur.
This study presents the results of the Permanent Scatterer Interferometric SAR (PS-InSAR) processing technique, which aims to analyze the pattern and value of surface deformation due to mud volcano manifestations. Using the PS-InSAR method, the deformation identified from processing time-series data on the ALOS PALSAR 1 L-band SAR Image in 2007-2009 and C-band Sentinel 1A 2015-2019 can reach the accuracy of millimeters. The results also showed that the 2007-2009 data processing could not be used as deformation information. It is because the minimum number of images required for the PS-InSAR method was not fulfilled. The 2015-2019 data processing illustrates the deformation patterns and values on the mud volcano manifestation locations. The Sidoarjo Mud Volcano experience uplift with an average value of 5.46 mm/year. The Gununganyar Mud Volcano experienced average uplift of 1.71 mm/year and a subsidence of 7.08 mm/year. The majority of the Kalanganyar Mud Volcano experienced average subsidence of 0.99 mm/year. The Wringianom Mud Volcano experienced average subsidence of 3.37 mm/year, and the majority of Bujhel Tasek Bini and Pria Mud Volcano has average subsidence of 2.88 mm/year. This study's results can be useful for consideration in development activities or construction around the mud volcanoes manifestation in East Java Province.
References
Crosetto, M., Devanthery, N., Cuevas-Gonzalez, M., Monserrat, O., & Crippa, B. (2015). Exploitation of the full potential of PSI data for subsidence monitoring. Proc. IAHS, 372, 311–314. https://doi.org/10.5194/piahs-372-311-2015
Crosetto, M., Monserrat, O., Cuevas-González, M., Devanthéry, N., & Crippa, B. (2016). Persistent Scatterer Interferometry: A review. ISPRS Journal of Photogrammetry and Remote Sensing. Vol.15. hal. 78–89: https://doi.org/10.1016/j.isprsjprs.2015.10.011
Farova, K., J Jelenek, V Kopackova-Strnadova, & P Kycl. (2019). Comparing DInSAR and PSI Techniques Employed to Sentinel-1 Data to Monitor Highway Stability : A Case Study of a Massive Dobkovicky Landslide, Czech Republic. Remote Sensing, MDPI 11(22), 1–23. https://doi.org/10.3390/rs11222670
Ferretti, A., Prati, C., & Rocca, F. (2001). Permanent scatterers in SAR interferometry. IEEE Transactions on Geoscience and Remote Sensing. No.1. Vol.39. hal. 8–20.
Ferretti, A., Monti-Guarnieri, A., Prati, C., & Rocca, F. (2007). InSAR Principles: Guidelines for SAR Interferometry Processing and Interpretation. InSAR Principles: Guidelines for SAR Interferometry Processing and Interpretation (TM-19, February 2007).
Milkov, A.V. (2003). Global Distribution Of Mud Volcanoes And Their Significance As An Indicator Of Active Petroleum Systems, A Source Of Methane In The Atmosphere And Ocean, And A Geohazard. Advanced Research Workshop Mud Volcanism, Geodynamics, and Seismicity. Baku, Azerbaijan. May 20-22.
Perrisin, D. (2016). SARPROZ software manual. Official Product Web Page : http://www.sarproz.com
Ruiz-Armenteros, A. M., Bakon, M., Lazecky, M., Delgado, J. M., Sousa, J. J., Perissin, D., & Carro-Cuenca, M. (2016). Multi-Temporal InSAR processing comparison in presenceof high topography. Procedia Computer Science. Vol. 100. hal. 1181-1190.
S. Amelinda, K., & Santosa, B. J. (2016). Identifikasi Pola Persebaran Sumber Lumpur Bawah Tanah Pada Mud Volcano Gunung Anyar Rungkut Surabaya Menggunakan Metode Geolistrik. Jurnal Sains Dan Seni ITS. No.1. Vol.5. hal. B6-B10.
Satyana, A. H, & Asnidar. (2008). Mud Diapirs And Mud Volcanoes In Depressions Of Java To Madura : Origins, Natures, And Implications To Petroleum System. Proceedings, Indonesian Petroleum Association ThirtySecond Annual Convention & Exhibition 2, 1–34.
Virk, A. S., Singh, A., & Mittal, S. K. (2019). Monitoring And Analysis Of Displacement Using Insar Techniques For Gulaba Landslide Site. Journal of Engineering Science and Technology. No.3 Vol.14. hal.1558–1571.
Wessel, P., Smith, W. H. F., Scharroo, R., Luis, J. F., & Wobbe, F. (2013). EOS Trans. AGU. No.45. Vol.94. hal. 409–410: https://doi.org/10.1002/2013EO450001
Yulyta, S. A., Taufik, M., & Hayati, N. 2015. Studi Pengamatan Penurunan Dan Kenaikan Muka Tanah Menggunakan Metode Differential Interferometry Synthetic Aperture Radar (DInSAR) (Studi Kasus : Lumpur Lapindo, Sidoarjo). Geoid. No.1. Vol.11. hal. 62: https://doi.org/10.12962/j24423998.v11i1.1100
