Pemanfaatan Citra Pengindraan Jauh Untuk Memperkirakan Penurunan Tanah Diberbagai Tipe Penggunaan Lahan

Authors

DOI:

https://doi.org/10.23887/jstundiksha.v11i2.50314

Keywords:

Sentinel 1, Landsubsidence, land cover/land use

Abstract

Ada keperihatinan tentang kemungkinan penurunan tanah yang berkontribusi terhadap dampak lingkungan, sosial dan ekonomi. Lebih lanjut, belum ada pengukuran langsung dari laju penurunan tanah dan hubungannya dengan penggunaan lahan yang ada. Tujuan penelitian ini untuk menganalisis penurunan tanah pada setiap penggunaan lahan. Penggunaan data satelit Interferometric Synthetic Aperture Radar (InSAR) untuk penilaian penurunan tanah dan Data Landsat 8 OLI/Tirs untuk memetakan penggunaan lahan merupakan pendekatan penelitian ilmiah yang mapan. Data satelit Sentinel-1 dan Landsat 8 OLI/TIRs menyediakan cakupan geografis yang luas, akuisisi reguler, dan akses terbuka. Penelitian ini menggunakan teknologi dengan citra Sentinel-1 SAR untuk memantau penurunan tanah dan Landsat 8 OLI/TIRs untuk memetakan penggunaan lahan. Metode yang digunakan dalam penelitian ini menggunakan metode DInSAR digunakan untuk menganalisis serangkaian citra Sentinel-1A di sepanjang jalur orbit naik menilai penurunan tanah, serta citra Landsat 8 OLI/TIRs menggunakan teknik OBIA untuk menganalisis tutupan lahan yang selanjutnya dihubungkan dengan penuruanan tanah menggunakan perangkat sistem informasi geografis. Hasil penelitian menunjukan pola spasial penurunan tanah nilai yang tinggi berada di sebelah barat yang merupakan daerah pusat kota yang banyak terdapat area terbangun. Secara keseluruhan, teknik ini efektif memetakan, mengidentifikasi penurunan muka tanah di berbagai jenis penggunaan lahan khuusnya area terbangun. Hal ini akan memungkinkan mendeteksi awal untuk pengendalian bahaya yang disebabkan oleh penurunan muka tanah.

 

References

Abidin, H. Z., Andreas, H., Gumilar, I., Fukuda, Y., Pohan, Y. E., & Deguchi, T. (2011). Land subsidence of Jakarta (Indonesia) and its relation with urban development. Natural Hazards, 59(3), 1753–1771. https://doi.org//10.1007/s11069-011-9866-9.

Abidin, H. Z., Andreas, H., Gumilar, I., & Wibowo, I. R. R. (2015). On correlation between urban development, land subsidence and flooding phenomena in Jakarta. , 370, 15-20. https://doi: Proceedings of the International Association of Hydrological Sciences, 370, 15–20. https://doi.org/10.5194/piahs-370-15-2015.

Achmad, A. R., & Lee, C. W. (2021). Surface Deformation Measurement of the 2020 M w 6.4 Petrinja, Croatia Earthquake Using Sentinel-1 SAR Data. Korean Journal of Remote Sensing, 37(1), 139–151. https://doi.org/10.7780/kjrs.2021.37.1.11.

Anjasmara, I. M., Yulyta, S. A., & Taufik, M. (2020). Application of time series InSAR (SBAS) method using sentinel-1A data for land subsidence detection in Surabaya city. International Journal on Advanced Science, Engineering and Information Technology, 10(1), 191–197. https://doi.org/10.18517/ijaseit.10.1.6749.

Arslan, İ., Topakcı, M., & Demir, N. (2022). Monitoring Maize Growth and Calculating Plant Heights with Synthetic Aperture Radar (SAR) and Optical Satellite Images. Agriculture, 12(6), 800.

Bagheri-Gavkosh, M., Hosseini, S. M., Ataie-Ashtiani, B., Sohani, Y., Ebrahimian, H., Morovat, F., & Ashrafi, S. (2021). Land subsidence: A global challenge. Science of The Total Environment, 778, 146193. https://doi.org/10.1016/j.scitotenv.2021.146193.

Bott, L. M., Schöne, T., Illigner, J., Haghighi, M. H., Gisevius, K., & Braun, B. (2021). Land subsidence in Jakarta and Semarang Bay–The relationship between physical processes, risk perception, and household adaptation. Ocean & Coastal Management, 211, 105775. https://doi.org/10.1016/j.ocecoaman.2021.105775.

Dang, V. K., Nguyen, T. D., Dao, N. H., Duong, T. L., Dinh, X. V, & Weber, C. (2021). Land subsidence induced by underground coal mining at Quang Ninh, Vietnam: persistent scatterer interferometric synthetic aperture radar observation using Sentinel-1 data. International Journal of Remote Sensing, 49(9), 3563–3582. https://doi.org/10.1080/01431161.2021.1875513.

Devaraj, S., Yarrakula, K., Martha, T. R., Murugesan, G. P., Vaka, D. S., Surampudi, S., & Budamala, V. (2022). Time series SAR interferometry approach for landslide identification in mountainous areas of Western Ghats, India. Journal of Earth System Science, 131(2), 1–17. https://doi.org/10.1007/s12040-022-01876-3.

Du, Z., Ge, L., Ng, A. H. M., Zhu, Q., Yang, X., & Li, L. (2018). Correlating the subsidence pattern and land use in Bandung, Indonesia with both Sentinel-1/2 and ALOS-2 satellite images. International Journal of Applied Earth Observation and Geoinformation, 67, 54–68. https://doi.org/10.1016/j.jag.2018.01.001.

Fajrin, F., Almegi, A., Bakari, A., Ramadhan, R., & Antomi, Y. (2021). Enviromental Monitoring of Land Subsidence in The Coastal Area of Padang City Using Sentinel 1 SAR Dataset. Sumatra Journal of Disaster, Geography and Geography Education, 5(1), 30–34. https://doi.org/10.24036/sjdgge.v5i1.359.

Fárová, K., Jelének, J., Kopačková-Strnadová, V., & Kycl, P. (2019). Comparing DInSAR and PSI techniques employed to Sentinel-1 data to monitor highway stability: a case study of a massive Dobkovičky landslide, Czech Republic. Remote Sensing, 11(22), 2670. https://doi.org/10.3390/rs11222670.

Galloway, D. L., & Burbey, T. J. (2011). Regional land subsidence accompanying groundwater extraction. Hydrogeology Journal, 19(8), 1459–1486. https://doi.org/10.1007/s10040-011-0775-5.

Goldstein, R. M., & Werner, C. L. (1998). Radar interferogram filtering for geophysical applications. Geophysical Research Letters, 25(21), 4035–4038. https://doi.org/10.1029/1998GL900033.

Hakim, W. L., Achmad, A. R., & Lee, C. W. (2020). Land subsidence susceptibility mapping in jakarta using functional and meta-ensemble machine learning algorithm based on time-series InSAR data. Remote Sensing, 12(12), 3627. https://doi.org/10.3390/rs12213627.

Herrera-García, G., Ezquerro, P., Tomás, R., Béjar-Pizarro, M., López-Vinielles, J., Rossi, M., & Ye, S. (2021). Mapping the global threat of land subsidence. Science, 371(6524), 34–36. https://doi.org/10.1126/science.abb8549.

Hussain, M. A., Chen, Z., Shoaib, M., Shah, S. U., Khan, J., & Ying, Z. (2022). Sentinel-1A for monitoring land subsidence of coastal city of Pakistan using Persistent Scatterers In-SAR technique. Scientific Reports, 12(1), 1–18. https://doi.org/10.1038/s41598-022-09359-7.

Ishwar, S. G., & Kumar, D. (2017). Application of DInSAR in mine surface subsidence monitoring and prediction. Current Science, 46–51. https://doi.org/10.18520/cs/v112/i01/46-51.

Islam, L. J. F., Prasetyo, Y., & Sudarsono, B. (2017). Analisis Penurunan Muka Tanah (Land Subsidence) Kota Semarang Menggunakan Citra Sentinel-1 Berdasarkan Metode DInSAR pada Perangkat Lunak SNAP. Jurnal Geodesi Undip, 6(2), 29–36.

Lo, W., Purnomo, S. N., Dewanto, B. G., & Sarah, D. (2022). Integration of numerical models and InSAR techniques to assess land subsidence due to excessive groundwater abstraction in the coastal and lowland regions of semarang city. Water (Switzerland), 14(2), 201. https://doi.org/10.3390/w14020201.

Minderhoud, P. S. J., Coumou, L., Erban, L. E., Middelkoop, H., Stouthamer, E., & Addink, E. A. (2018). The relation between land use and subsidence in the Vietnamese Mekong delta. Science of The Total Environment, 634, 715–726. https://doi.org/10.1016/j.scitotenv.2018.03.372.

Novelli, A., Aguilar, M. A., Nemmaoui, A., Aguilar, F. J., & Tarantino, E. (2016). Performance evaluation of object based greenhouse detection from Sentinel-2 MSI and Landsat 8 OLI data: A case study from Almería (Spain). International Journal of Applied Earth Observation and Geoinformation, 52, 403–411. https://doi.org/10.1016/j.jag.2016.07.011.

Rahmati, O., Golkarian, A., Biggs, T., Keesstra, S., Mohammadi, F., & Daliakopoulos, I. N. (2019). Land subsidence hazard modeling: Machine learning to identify predictors and the role of human activities. Journal of Environmental Management, 236, 466–480. https://doi.org/10.1016/j.jenvman.2019.02.020.

Raspini, F., Bianchini, S., Moretti, S., Loupasakis, C., Rozos, D., Duro, J., & Garcia, M. (2016). Advanced interpretation of interferometric SAR data to detect, monitor and model ground subsidence: outcomes from the ESA-GMES Terrafirma project. Natural Hazards, 83(1), 155–181. https://doi.org/10.1007/s11069-016-2341-x.

Sanabria, M. P., Guardiola-Albert, C., Tomás, R., Herrera, G., Prieto, A., Sánchez, H., & Tessitore, S. (2014). Subsidence activity maps derived from DInSAR data: Orihuela case study. Natural Hazards and Earth System Sciences, 14(5), 1341–1360. https://doi.org/10.5194/nhess-14-1341-2014.

Shirzaei, M., Freymueller, J., Törnqvist, T. E., Galloway, D. L., Dura, T., & Minderhoud, P. S. (2021). Measuring, modelling and projecting coastal land subsidence. Nature Reviews Earth & Environment, 2(1), 40–58. https://doi.org/10.1038/s43017-020-00134-8.

Simmons, B. S., & Wempen, J. M. (2021). Quantifying relationships between subsidence and longwall face advance using DInSAR. International Journal of Mining Science and Technology, 31(1), 91–94. https://doi.org/10.1016/j.ijmst.2020.12.021.

Takagi, H., Esteban, M., Mikami, T., Pratama, M. B., Valenzuela, V. P. B., & Avelino, J. E. (2021). People’s perception of land subsidence, floods, and their connection: A note based on recent surveys in a sinking coastal community in Jakarta. Ocean & Coastal Management, 211, 105753. https://doi.org/10.1016/j.ocecoaman.2021.105753.

Umarhadi, D. A., Widyatmanti, W., Kumar, P., Yunus, A. P., Khedher, K. M., Kharrazi, A., & Avtar, R. (2022). Tropical peat subsidence rates are related to decadal LULC changes: Insights from InSAR analysis. Science of The Total Environment, 816, 151561. https://doi.org/10.1016/j.scitotenv.2021.151561.

Widodo, J., Naryanto, H. S., Hidayat, N., Putra, A. P., Izumi, Y., Perissin, D., & Sumantyo, J. S. (2021). Land Subsidence Assessment of Bandung City, Indonesia in Geological Perspective, Based on Interferometric SAR Using C-band Data. In 2021 Photonics & Electromagnetics Research Symposium (PIERS), 2377–2381. https://doi.org/10.1109/PIERS53385.2021.9694892.

Zaenudin, A., Darmawan, I. G. B., Minardi, S., & Haerudin, N. (2018). Land subsidence analysis in Bandar Lampung City based on InSAR. In Journal of Physics: Conference Series, 1080(1), 012043. https://doi.org/10.1088/1742-6596/1080/1/012043.

Zhang, Y., Liu, Y., Jin, M., Jing, Y., Liu, Y., Liu, Y., & Chen, Y. (2019). Monitoring land subsidence in Wuhan city (China) using the SBAS-InSAR method with radarsat-2 imagery data. Sensors, 19(3), 743. https://doi.org/10.3390/s19030743.

Zoysa, S., Schöne, T., Herbeck, J., Illigner, J., Haghighi, M., Simarmata, H., & Hornidge, A. K. (2021). The ‘wickedness’ of governing land subsidence: Policy perspectives from urban Southeast Asia. LPoS One, 16(6), e0250208. https://doi.org/10.1371/journal.pone.0250208.

Downloads

Published

2022-08-15

Issue

Section

Articles