Indexed By
Article Tools
Email this article (Login required)
Email the author (Login required)
About The Authors

Mohammad Ardha
National Insitute of Aeronautics And Space

Argo Galih Suhadha
National Insitute of Aeronautics And Space

Atriyon Julzarika
National Insitute of Aeronautics And Space

Fajar Yulianto
National Insitute of Aeronautics And Space

Dipo Yudhatama
National Insitute of Aeronautics And Space

Rofifatuz Zulfa Darwista
Geodesy and Geomatics Engineering Study Program / Institute Technology of Bandung

Author Guidelines

SJR Rank

SCImago Journal & Country Rank

Sinta Rank

Sinta Rank

Visitor Statistic

Utilization of Sentinel-1 satellite imagery data to support land subsidence analysis in DKI Jakarta, Indonesia

Mohammad Ardha, Argo Galih Suhadha, Atriyon Julzarika, Fajar Yulianto, Dipo Yudhatama, Rofifatuz Zulfa Darwista
  J. Degrade. Min. Land Manage. , pp. 2587-2593  
Viewed : 1098 times


Land subsidence had been a significant problem in DKI Jakarta and Semarang, with at least 20 kilometres of roads affected. Repairing them will require at least US $ 1 million per kilometre. Land subsidence monitoring has been carried out using terrestrial methods (GPS and levelling), which are believed to have a high degree of accuracy. The high accuracy of the terrestrial method results in a lack of precision over a large area. On the other hand, remote sensing technology as a non-terrestrial method has developed to monitor land subsidence which can produce high precision over a large area. This study aimed to test the Sentinel-1 satellite data using the Differential Interferometric Synthetic Aperture Radar (DInSAR) method in monitoring land subsidence in DKI Jakarta. DInSAR is a method in Remote Sensing that utilizes radar sensors to analyze the phase differences of a SAR data pair that have different times of capture and have been catalogued to obtain displacement along the area of collection. The results showed that the North Jakarta area experienced the highest land subsidence in the entire Jakarta area. The annual average rate from 2017-2019 is 3.4 cm. The value of 3.4 cm is the average value of all samples in the North Jakarta area. The second area where high land subsidence is West Jakarta, where the maximum amount value of subsidence is 2.8 cm. The accuracy-test results with the MONAS test point showed that the difference between field data and DInSAR results was ± 6.5 cm. The results of this research indicate that the DInSAR method is quite capable of describing land subsidence in the DKI Jakarta area with a relatively good level of precision.


DInSAR; Jakarta; land subsidence; remote sensing; Sentinel-1

Full Text:



Abidin, H.Z., Andreas, H., Gamal, M., Gumilar, I., Napitupulu, N., Fukuda, Y., Deguchi, T., Maruyama, Y. and Riawan, E. 2010. Land subsidence characteristics of the Jakarta basin (Indonesia) and its relation with groundwater extraction and sea level rise. In: Groundwater Response to Changing Climate (pp.113-130), doi: 10.1201/b10530-11.

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

Abidin, H.Z., Andreas, H., Gumilar, I., Sidiq, T.P. and Fukuda, Y. 2013. Land subsidence in the coastal city of Semarang (Indonesia): characteristics, impacts and causes. Journal of Geomatics, Natural Hazards and Risk 4(3): 226-240, doi:10.1080/19475705.2012.692336.

Ai, B., Liu, K., Li, X. and Li, D.H. 2008. Flat-earth phase removal algorithm improved with frequency information of interferogram. Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images, 7147(May 2014), 71471A, doi: 10.1117/12.813247.

Andreas, H., Usriyah, Abidin, H. Z. and Sarsito, A.D. (2017). Tidal inundation ("Rob") investigation using time series of high resolution satellite image data and from in situ measurements along the northern coast of Java (Pantura). IOP Conference Series: Earth and Environmental Science 71(1), doi: 10.1088/1755-1315/71/1/012005.

Chang, C., Yen, J., Hooper, A., Chou, F. and Chen, Y. 2010. Monitoring of surface deformation in Northern Taiwan using DInSAR and PSInSAR techniques Monitoring of Surface Deformation in Northern Taiwan Using DInSAR and PSInSAR Techniques. Terrestrial Atmospheric and Oceanic Sciences 21(3): 447-461, doi: 0.3319/TAO.2009.11.20.01(TH).

Cyntia, C. and Pudja, I.P. 2018. Subsidence analysis in DKI Jakarta using Differential Interferometry Synthetic Aperture Radar (DInSAR) method. Sustinere: Journal of Environment and Sustainability 2(3): 118-127, doi: 10.22515/sustinere.jes.v2i3.48.

Fárová, K., Jelének, J., Kopačková-Strnadová, V. ands 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): 1-23, doi: 10.3390/rs11222670.

Ferretti, A., Fumagalli, A., Novali, F., Prati, C., Rocca, F. and Rucci, A. 2011. A new algorithm for processing interferometric data-stacks: SqueeSAR. IEEE Transactions on Geoscience and Remote Sensing 49(9): 3460-3470, doi: 10.1109/TGRS.2011.2124465.

Harahap, F.R. 2013. The impact of urbanization on urban development in Indonesia. Society 1(1): 35-45, doi: 10.33019/society.v1i1.40 (in Indonesian).

Listyono, G.M., Arfiansyah, K., Natasia, N., Alfadli, M.K. and Pranantya, P.A. 2016. Quaternary sediment lithofacies in DKI Jakarta area. Bulletin of Scientific Contribution: Geology 14(1): 89-96 (in Indonesian).

Liu, Y., Huang, H. and Dong, J. 2015. Large-area land subsidence monitoring and mechanism research using the small baseline subset interferometric synthetic aperture radar technique over the Yellow River Delta, China. Journal of Applied Remote Sensing 9(1), 096019, doi: 10.1117/1.jrs.9.096019.

Marfai, M.A. and King, L. 2008. Tidal inundation mapping under enhanced land subsidence in Semarang, Central Java, Indonesia. Natural Hazards 44(1): 93-109, doi: 10.1007/s11069-007-9144-z.

Qin, Y., Perissin, D. and Bai, J. 2018. Investigations on the coregistration of Sentinel-1 TOPS with the conventional cross-correlation technique. Remote Sensing 10(9): 1-23, doi: 10.3390/rs10091405.

Rahman, S., Sumotarto, U. and Pramudito, H. 201). Influence the condition land subsidence and groundwater impact of Jakarta coastal area. IOP Conference Series: Earth and Environmental Science 106(1), doi: 10.1088/1755-1315/106/1/012006.

Ramadhanis, Z., Prasetyo, Y. and Yuwono, B. 2017. Analysis of spatial correlation of impact of land subsidence on floods in North Jakarta. Jurnal Geodesi Undip 6(3): 77-86 (in Indonesian).

Song, R., Guo, H., Liu, G., Perski, Z., Yue, H., Han, C. and Fan, J. 2015. Improved goldstein SAR interferogram filter based on adaptive-neighborhood technique. IEEE Geoscience and Remote Sensing Letters 12(1): 140-144, doi: 10.1109/LGRS.2014.2329498.

Strozzi, T., Wegmüller, U., Tosi, L., Bitelli, G. and Spreckels, V. 2001. Land subsidence monitoring with differential SAR interferometry. Photogrammetric Engineering and Remote Sensing 67(11): 1261-1270.

Syahreza, S., Fadhli, Saepuloh, A., Jefriza, and Lateh, H. 2018. Combining the Sentinel-1A/B DinSAR Interferometry to detect deformation associated with Pidie Jaya earthquake. Journal of Physics: Conference Series 1120(1), doi: 10.1088/1742-6596/1120/1/012021.

Tzouvaras, M., Danezis, C. and Hadjimitsis, D.G. 2020. Small scale landslide detection using Sentinel-1 interferometric SAR coherence. Remote Sensing 12(10), doi: org/10.3390/rs12101560.

Whittaker, B.N. and Reddish, D.J. 1989. Subsidence: Occurrence, Prediction and Control. Publisher Elsevier, ISBN 0444872744, 9780444872746, 528 pages.


  • There are currently no refbacks.

Copyright (c) 2020 Journal of Degraded and Mining Lands Management

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

Indexed By