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Investigating the Possibility of Collapse Forewarning Identification in Urban Areas Based on Sentinel-1 InSAR Time Series
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Niloofar Alizadeh   , Yasser Maghsoudi , Tayabe Managhebi * |
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Abstract: (262 Views) |
Sudden collapse, especially in urban areas, in addition to financial damage due to the destruction and threat of infrastructures and the occurrence of problems in urban management, and more importantly, the threat to human lives is considered in the series of high-risk urban accidents. Obviously, detecting the possibility of an accident before the accident will have a significant impact on reducing the consequences and effects of the collapse. In this article, the capability of radar remote sensing in detecting collapse forewarning in urban area has been evaluated. For this purpose, a 15-month time series of Sentinel-1 radar images was used to investigate the occurrence of collapse in the two areas of Abshanasan Boulevard and Karimkhan Street located in Tehran. The studied accidents occurred in May 1401 and February 1400, respectively, and therefore the time series from 15 months before the accident until the time of the collapse were analysed. In the first stage, subsidence rate maps of both regions were produced using two time series techniques of radar interferometry based on the permanent scatterers and small baseline and subset technique. The experimental results confirm the high correlation of the 15-month subsidence velocity obtained from the two mentioned techniques in both study areas with a determination coefficient of 0.9. In the second stage, applying a spatio-temporal analysis on the set of 15-month time series curves within the radius of 50 meters of both collapse accident sites was considered. Examining the results of both interferometric techniques confirms the capability and superiority of the small baseline and subset technique compared to the permanent scatterers InSAR technique in identifying the predictor of the collapse event in the days leading up to the accident. The SBAS method successfully identified the high-risk point near both the Abshenasan Boulevard and Karimkhan Street incidents, at distances of 1 meter and 2.5 meters from the event location, respectively. In contrast, the method based on permanent scatterer points did not perform as well in this context.
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Article number: 1 |
| Keywords: Collapse, Interferometry, Sentinel-1, Spatio-temporal analysis, Small baseline, Permanent scatterer |
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Full-Text [PDF 1039 kb]
(122 Downloads)
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Type of Study: Research |
Subject:
Photo&RS
Received: 2024/07/17
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1. W. F. Lee and K. Ishihara, (2010). "Forensic diagnosis of a shield tunnel failure."Engineering Structures, vol. 32, no. 7, pp. 1830-1837. [ DOI:10.1016/j.engstruct.2010.03.012] 2. A. Ede, C. Nwankwo, S. Oyebisi, O. Olofinnade, A. Okeke, and A. Busari, (2019). "Failure trend of transport infrastructure in developing nations: Cases of bridge collapse in Nigeria," in IOP conference series: materials science and engineering, 2019, Jakarta. [ DOI:10.1088/1757-899X/640/1/012102] 3. L. Ohenhen and M. Shirzaei, (2022). "Land subsidence hazard and building collapse risk in the coastal city of Lagos, West Africa."Earth's Future, vol. 10, no. 12, p. e2022EF003219. [ DOI:10.1029/2022EF003219] 4. G. Chen et al., (2018). "Detection of land subsidence associated with land creation and rapid urbanization in the chinese loess plateau using time series insar: A case study of Lanzhou new district."Remote Sensing, vol. 10, no. 2, p. 270. [ DOI:10.3390/rs10020270] 5. S. M. J. Mirzadeh et al., (2021). "Characterization of irreversible land subsidence in the Yazd‐Ardakan plain, Iran from 2003 to 2020 InSAR time series."Journal of Geophysical Research: Solid Earth, vol. 126, no. 11, p. e2021JB022258. [ DOI:10.1029/2021JB022258] 6. A. Goorabi, Y. Maghsoudi, and D. Perissin, (2020). "Monitoring of the ground displacement in the Isfahan, Iran, metropolitan area using persistent scatterer interferometric synthetic aperture radar technique."Journal of Applied Remote Sensing, vol. 14, no. 2, pp. 024510-024510. [ DOI:10.1117/1.JRS.14.024510] 7. M. Bakon, D. Perissin, M. Lazecky, and J. Papco, (2014). "Infrastructure non-linear deformation monitoring via satellite radar interferometry."Procedia Technology, vol. 16, pp. 294-300. [ DOI:10.1016/j.protcy.2014.10.095] 8. W. Wu, H. Cui, J. Hu, and L. Yao, (2019). "Detection and 3D visualization of deformations for high-rise buildings in Shenzhen, China from high-resolution TerraSAR-X datasets."Applied Sciences, vol. 9, no. 18, p. 3818. [ DOI:10.3390/app9183818] 9. M. Roccheggiani, D. Piacentini, E. Tirincanti, D. Perissin, and M. Menichetti, (2019). "Detection and monitoring of tunneling induced ground movements using Sentinel-1 SAR interferometry."Remote Sensing, vol. 11, no. 6, p. 639. [ DOI:10.3390/rs11060639] 10. P. Milillo, G. Giardina, D. Perissin, G. Milillo, A. Coletta, and C. Terranova, (2019). "Pre-collapse space geodetic observations of critical infrastructure: The Morandi Bridge, Genoa, Italy."Remote Sensing, vol. 11, no. 12, p. 1403. [ DOI:10.3390/rs11121403] 11. M. Khoshlahjeh Azar, A. Hamedpour, Y. Maghsoudi, and D. Perissin, (2021). "Analysis of the deformation behavior and sinkhole risk in Kerdabad, Iran using the PS-InSAR method."Remote Sensing, vol. 13, no. 14, p. 2696. [ DOI:10.3390/rs13142696] 12. A. Montisci and M. C. Porcu, (2022). "A satellite data mining approach based on self-organized maps for the early warning of ground settlements in urban areas."Applied Sciences, vol. 12, no. 5, p. 2679. [ DOI:10.3390/app12052679] 13. P. Berardino, G. Fornaro, R. Lanari, and E. Sansosti, (2002). "A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms."IEEE Transactions on geoscience and remote sensing, vol. 40, no. 11, pp. 2375-2383. [ DOI:10.1109/TGRS.2002.803792] 14. A. Ferretti, C. Prati, and F. Rocca, (2001). "Permanent scatterers in SAR interferometry."IEEE Transactions on geoscience and remote sensing, vol. 39, no. 1, pp. 8-20. [ DOI:10.1109/36.898661] 15. A. Ahmed, M. S. Khan, N. Gul, I. Uddin, S. M. Kim, and J. Kim, (2020). "A comparative analysis of different outlier detection techniques in cognitive radio networks with malicious users."Wireless Communications and Mobile Computing, vol. 2020, pp. 1-18. [ DOI:10.1155/2020/8832191] 16. M. A. Samara, I. Bennis, A. Abouaissa, and P. Lorenz, (2022). "A survey of outlier detection techniques in IoT: Review and classification."Journal of Sensor and Actuator Networks, vol. 11, no. 1, p. 4. [ DOI:10.3390/jsan11010004] 17. D. C. Hoaglin, F. Mosteller, and J. W. Tukey, (2000), "Understanding robust and exploratory data analysis," John Wiley & Sons.
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Alizadeh N, Maghsoudi Y, Managhebi T. Investigating the Possibility of Collapse Forewarning Identification in Urban Areas Based on Sentinel-1 InSAR Time Series. JGST 2025; 14 (3) : 1 URL: http://jgst.issgeac.ir/article-1-1196-en.html
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