The Utility of LiCSBAS to Carry out InSAR Time Series to Analyze Surface Deformation: An Overview

Authors

  • Zuhour Katia Thamer Engineering Technical College - Baghdad, Middle Technical University, Baghdad, Iraq
  • Ahmed H. Hamdullah Engineering Technical College - Baghdad, Middle Technical University, Baghdad, Iraq
  • Mamoun Ubaid Mohammed Engineering Technical College - Baghdad, Middle Technical University, Baghdad, Iraq
  • Md Tanvir Sowgath Bangladesh University of Engineering and Technology, Dhaka, Bangladesh

DOI:

https://doi.org/10.51173/jt.v5i4.1639

Keywords:

LiCSBAS, InSAR, Remote Sensing, Review, Deformation

Abstract

Surface deformation analysis plays a crucial role in understanding geodetic phenomena and their implications for hazard assessment, infrastructure management, and environmental studies. In recent years, the incorporation of synthetic aperture radar (InSAR) and advanced processing techniques have been used to monitor surface deformation. One such technique, LiCSBAS, has shown great promise in analyzing InSAR time series data to accurately detect and quantify surface displacements. It has been successfully employed in various geodetic monitoring scenarios such as landslide monitoring, infrastructure stability assessment, and volcanic deformation analysis. In this study, studies were reviewed in which performance evaluation and comparison of LiCSBAS with other technologies were discussed as well as future developments and challenges in this field. The results of a review of previous studies show the effectiveness of LiCSBAS in detecting and analyzing surface deformation, allowing for a better understanding of geodetic processes. This overview will provide a set of ideas that will assist stakeholders involved in surface deformation analysis and geodetic monitoring and contribute to decision-making to achieve sustainable development.

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Author Biographies

Zuhour Katia Thamer, Engineering Technical College - Baghdad, Middle Technical University, Baghdad, Iraq

     

Ahmed H. Hamdullah, Engineering Technical College - Baghdad, Middle Technical University, Baghdad, Iraq

   

Mamoun Ubaid Mohammed, Engineering Technical College - Baghdad, Middle Technical University, Baghdad, Iraq

   

Md Tanvir Sowgath, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh

Chemical Engineering Department

References

M. Besoya, H. Govil, and P. Bhaumik, “A review on surface deformation evaluation using multitemporal SAR interferometry techniques,” Spatial Information Research, vol. 29, no. 3, pp. 267–280, 2021, doi: 10.1007/s41324-020-00344-8.

I. E. Özer, F. J. van Leijen, S. N. Jonkman, and R. F. Hanssen, “Applicability of satellite radar imaging to monitor the conditions of levees,” J Flood Risk Manag, vol. 12, no. S2, p. e12509, 2019, doi: https://doi.org/10.1111/jfr3.12509.

Y. Morishita, M. Lazecky, T. J. Wright, J. R. Weiss, J. R. Elliott, and A. Hooper, “LiCSBAS: An open-source InSAR time series analysis package integrated with the LiCSAR automated sentinel-1 InSAR processor,” Remote Sens (Basel), vol. 12, no. 3, Feb. 2020, doi: 10.3390/rs12030424.

Z. Ghorbani, A. Khosravi, Y. Maghsoudi, F. F. Mojtahedi, E. Javadnia, and A. Nazari, “Use of InSAR data for measuring land subsidence induced by groundwater withdrawal and climate change in Ardabil Plain, Iran,” Sci Rep, vol. 12, no. 1, p. 13998, 2022, doi: 10.1038/s41598-022-17438-y.

M. Lazeckỳ et al., “LiCSAR: An Automatic InSAR Tool for Measuring and Monitoring Tectonic and Volcanic Activity,” Remote Sensing 2020, Vol. 12, Page 2430, vol. 12, no. 15, p. 2430, Jul. 2020, doi: 10.3390/RS12152430.

R. Dwivedi, A. B. Narayan, A. Tiwari, O. Dikshit, A. K. Singh, and C. Author, “Multi-Temporal Sar Interferometry For Landslide Monitoring,” The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XLI-B8, pp. 55–58, Jun. 2016, doi: 10.5194/ISPRS-ARCHIVES-XLI-B8-55-2016.

J. R. Elliott, R. J. Walters, and T. J. Wright, “The role of space-based observation in understanding and responding to active tectonics and earthquakes,” Nat Commun, vol. 7, no. 1, p. 13844, 2016, doi: 10.1038/ncomms13844.

S. Salvi, S. Stramondo, G. J. Funning, A. Ferretti, F. Sarti, and A. Mouratidis, “The Sentinel-1 mission for the improvement of the scientific understanding and the operational monitoring of the seismic cycle,” Remote Sens Environ, vol. 120, pp. 164–174, 2012, doi: https://doi.org/10.1016/j.rse.2011.09.029.

B. Rouet-Leduc, R. Jolivet, M. Dalaison, P. A. Johnson, and C. Hulbert, “Autonomous extraction of millimeter-scale deformation in InSAR time series using deep learning,” Nat Commun, vol. 12, no. 1, p. 6480, 2021, doi: 10.1038/s41467-021-26254-3.

“yumorishita/LiCSBAS: LiCSBAS: InSAR time series analysis package using LiCSAR products.” https://github.com/yumorishita/LiCSBAS (accessed Jul. 02, 2023).

C. Yu, Z. Li, N. T. Penna, and P. Crippa, “Generic atmospheric correction model for interferometric synthetic aperture radar observations,” J Geophys Res Solid Earth, vol. 123, no. 10, pp. 9202–9222, 2018.

Y. Morishita, “Nationwide urban ground deformation monitoring in Japan using Sentinel-1 LiCSAR products and LiCSBAS,” Prog Earth Planet Sci, vol. 8, no. 1, p. 6, 2021, doi: 10.1186/s40645-020-00402-7.

M. R. Al Ghiffari, D. Nugroho, Afifuddin, A. Agustan, C. Endyana, and Hendarmawan, “Optimization of Loop Closure Phase on LiCSBAS for Ground Deformation Monitoring in Southern Sumatra,” in 2022 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS), 2022, pp. 6–12. doi: 10.1109/AGERS56232.2022.10093536.

I. Yusiyanti, T. W. Kalbuadi Prajardi, Y. I. Saputri, and C. Pratama, “Vertical deformation model on postseismic phase using exponential and logarithmic function based on InSAR,” Geod Geodyn, 2023, doi: https://doi.org/10.1016/j.geog.2023.01.003.

M. K. Rosyidy et al., “Landslide surface deformation analysis using sbas-insar in the southern part of the sukabumi area, indonesia,” Geographia Technica, vol. 16, no. Special Issue, pp. 138–152, 2021, doi: 10.21163/GT_2021.163.11.

The processing of unwrapped (UNW) interferometric phases and coherence (COH) data

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Published

2023-12-31

How to Cite

Zuhour Katia Thamer, Ahmed H. Hamdullah, Mamoun Ubaid Mohammed, & Md Tanvir Sowgath. (2023). The Utility of LiCSBAS to Carry out InSAR Time Series to Analyze Surface Deformation: An Overview. Journal of Techniques, 5(4), 41–45. https://doi.org/10.51173/jt.v5i4.1639

Issue

Section

Engineering

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