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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: (109 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]
(70 Downloads)
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Type of Study: Research |
Subject:
Photo&RS
Received: 2024/07/17
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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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