Surface Deformation Analysis Using Differential Interferometry Synthetics Aperture Radar in Rumpin, Cigudeg, Leuwiliang, and Cibungbulang District Period 2018-2022

Rosse Violla Rosendrya, Budhi Setiawan


Ground movement is surface movement resulting from natural events such as landslides, earthquakes, slumping, or surface runoff. Tracking ground movement is a step in mitigating and investigating unexpected natural disasters. Administratively, the research area is in Bogor Regency, namely Rumpin, Cigudeg, Leuwiliang, and Cibungbulang Subdistricts. The area studied by the author is 9 x 9 km². The method uses more than one interferogram to capture surface topographical transformations accurately. The DInSAR method aims to extract the total phase caused by deformation by eliminating or reducing other contributing things. This study identified material movements in the form of decreases or increases. The activity of monitoring material movement is considered essential to be carried out in monitoring potential landslides in the future. SAR imagery can be used as an early warning for disaster mitigation which still requires further action, such as taking data directly to the field in the hope of getting more accuracy.


DInSAR; Sentinel-1; Surface Deformation

Full Text:



Acosta, G., Rodriguez, A., Euillades, P., Euillades, L., Ruiz, F., Rosell, P., & Garcia, H. (2021). Detection of Active Landslides by DInSAR in Andean Precordillera of San Juan, Argentina. Jurnal of South American Earth Sciences, 108, 103205.

Aldiansyah, S. M. (2021). Monitoring of vegetation cover changes with geomorphological forms using Google Earth engine in Kendari City. Jurnal Geografi Gea, 21(2), 159-170.

Anjasmara, I. M. (2017). Analysing surface deformation in Surabaya from Sentinel-1A data using DInSAR method. In AIP Conference Proceedings (Vol. 1857, No. 1), AIP Publishing.

Arthur Depicker, L. J. (2021). Historical Dynamics of Landslide Risk from Population and Forest-cover Changes in the Kivu Rift. Nature Sustainability 4, 965-974.

Boni, R. B. (2018). Landslide state of activity maps by combining multi-temporal A-DInSAR (LAMBDA). Remote sensing of environment, 217, 172-190.

Budetta, P. N. (2020). DinSAR monitoring of the landslide activity affecting a stretch of motorway in the Campania region of Southern Italy. Transportation research procedia, 45, 285-292.

Calò, F., Ardizzone, F., Castaldo, R., Lollino, P., Tizzani, P., Guzzetti, F., . . . Manunta, M. (2014). Enhanced landslide investigations through advanced DInSAR techniques: The Ivancich case study, Assisi, Italy. Remote Sensing of Environment, 142, 69-82.

Castañeda, P. S. (2011). Dedicated SAR interferometric analysis to detect subtle deformation in evaporite areas around Zaragoza, NE Spain. International Journal of Remote Sensing, 32(7), 1861–1884.

Dini, B. M. (2019). nvestigation of slope instabilities in NW Bhutan as derived from systematic DInSAR analyses. Engineering Geology, 259, 10511.

Effendi et al. (1998). Peta Geologi Lembar Bogor, Jawa, skala 1:100.000. Bandung: Pusat Penelitian dan Pengembangan Geologi.

Firdaus, M. P. (2016 ). Analisis Pengaruh Deformasi Muka Tanah terhadap Pembangunan di Daerah Pesisir dengan Teknik Differential Interferometric Synthetic Aperture Radar (DInSAR) (Studi Kasus: Pesisir Bangkalan, Madura).

Hanssen. (2001). Radar Interferometry: Data Interpretation and Error Analysis. Remote Sensing and Digital Image Processing, 9-60.

Hugget, R. J. (2017). Fundamental of Geomorphology (4rd edition). USA and Canada: Routage.

Merlín, A. B. (2021). DInSAR and statistical modeling to assess landslides: The case study of Sierras Chicas (central Argentina). Journal of South American Earth Sciences, 108, 103179.

Ningsih, R. L. (2023). Multi-Hazard Susceptibility Analysis of Bantul Regency. Jurnal Geografi Gea, 23(1), 8-18.

Niraj, K. C. (2022). Kotrupi landslide deformation study in non-urban area using DInSAR and MTInSAR techniques on Sentinel-1 SAR data. Advances in Space Research, 70(12), 3878-3891.

Noor, D. (2014). Pengantar Geologi. Yogyakarta: Deepublish.

Raspini, F. C. (2022). Review of satellite radar interferometry for subsidence analysis. Earth-Science Reviews, 104239.

Samsonov, S. D. (2020). Satellite interferometry for mapping surface deformation time series in one, two and three dimensions: A new method illustrated on a slow-moving landslide. Engineering Geology, 266, 105471.

Sarychikhina, O. P. (2021). Application of satellite SAR interferometry for the detection and monitoring of landslides along the Tijuana-Ensenada Scenic Highway, Baja California, Mexico. Journal of South American Earth Sciences, 107, 103030.

Shan-Long, K. (1991). Optimization and Designof Deformation Monitoring Schemes. Canada: Geodesy and Geomatics Engineering.

Stein, W. (2003). An Introduction to Seismology, Earthquakes, and Earth Structure. Geological Magazine, 733-734.

Vélez, M. L. (2021). Ground deformation at the Cerro Blanco caldera: A case of subsidence at the Central Andes BackArc. Journal of South American Earth Sciences, 106, 102941.

Widyaatmanti, W. I. (2016). Identification of topographic elements composition based on landform boundaries from radar interferometry segmentation (preliminary study on digital landform mapping). IOP Conference Series: Earth and Environmental Science, 37(1).




  • There are currently no refbacks.

Copyright (c) 2023 Jurnal Geografi Gea

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.