Preliminary Study on InSAR-Based Uplift or Subsidence Monitoring and Stability Evaluation of Ground Surface in the Permafrost Zone of the Qinghai–Tibet Engineering Corridor, China
Against the background of global warming, permafrost areas are facing increasing thawing, and the threat to the surface of the Qinghai–Tibet Engineering Corridor (QTEC) is serious. It is imperative to understand the current surface deformation and analyze the changes spatiotemporal characteristics f...
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ftdoajarticles:oai:doaj.org/article:e5db1d40f2164f66bd91075363ef2424 2023-09-05T13:22:31+02:00 Preliminary Study on InSAR-Based Uplift or Subsidence Monitoring and Stability Evaluation of Ground Surface in the Permafrost Zone of the Qinghai–Tibet Engineering Corridor, China Qingsong Du Dun Chen Guoyu Li Yapeng Cao Yu Zhou Mingtang Chai Fei Wang Shunshun Qi Gang Wu Kai Gao Chunqing Li 2023-07-01T00:00:00Z https://doi.org/10.3390/rs15153728 https://doaj.org/article/e5db1d40f2164f66bd91075363ef2424 EN eng MDPI AG https://www.mdpi.com/2072-4292/15/15/3728 https://doaj.org/toc/2072-4292 doi:10.3390/rs15153728 2072-4292 https://doaj.org/article/e5db1d40f2164f66bd91075363ef2424 Remote Sensing, Vol 15, Iss 3728, p 3728 (2023) InSAR Qinghai–Tibet engineering corridor permafrost zone big data and cloud computing disaster prevention and mitigation Science Q article 2023 ftdoajarticles https://doi.org/10.3390/rs15153728 2023-08-13T00:34:32Z Against the background of global warming, permafrost areas are facing increasing thawing, and the threat to the surface of the Qinghai–Tibet Engineering Corridor (QTEC) is serious. It is imperative to understand the current surface deformation and analyze the changes spatiotemporal characteristics for future warnings. At present, observation of a long time series and overall coverage of vertical ground deformation in QTEC are lacking. This paper takes the permafrost deformation of the QTEC as its research object. It uses the pretreated LiCSAR product and combines it with the LiCSBAS package to obtain monitoring results of the long time series deformation of the engineering corridor’s surface. The SAR image acquisition date is taken as the constraint, the results covering the whole processing area are selected, and then the vertical deformation information covering the entire engineering corridor area by ignoring the north–south displacement is calculated. The results show that the surface of the study area, as a whole, slightly subsided between May 2017 and March 2022, and the vertical deformation rate was mostly distributed at −27.068 mm/yr − 18.586 mm/yr, with an average of −1.06 mm/yr. Vertical deformation dominated at 52.84 percent of the study area, of which settlement accounted for 27.57 percent and uplift accounted for 25.27 percent. According to the statistics of the normal distribution of deformation velocity per pixel, a total of 77% of the engineering corridor was stable, with a vertical deformation rate between −6.964 mm/yr and −4.844 mm/yr, and 17.7% of the region was sub-stable, with a settling rate of −12.868 mm/yr − –6.964 mm/yr. The unstable regions included areas with settlement rates greater than 12.868 mm/yr and uplift rates greater than 10.748 mm/yr, representing 4.4 percent and 0.9 percent of the total area, respectively, for a total of 5.3 percent. The results of this paper can be used as the theoretical basis and as basic data for decision making and scientific research in various ... Article in Journal/Newspaper permafrost Directory of Open Access Journals: DOAJ Articles Remote Sensing 15 15 3728 |
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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
language |
English |
topic |
InSAR Qinghai–Tibet engineering corridor permafrost zone big data and cloud computing disaster prevention and mitigation Science Q |
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InSAR Qinghai–Tibet engineering corridor permafrost zone big data and cloud computing disaster prevention and mitigation Science Q Qingsong Du Dun Chen Guoyu Li Yapeng Cao Yu Zhou Mingtang Chai Fei Wang Shunshun Qi Gang Wu Kai Gao Chunqing Li Preliminary Study on InSAR-Based Uplift or Subsidence Monitoring and Stability Evaluation of Ground Surface in the Permafrost Zone of the Qinghai–Tibet Engineering Corridor, China |
topic_facet |
InSAR Qinghai–Tibet engineering corridor permafrost zone big data and cloud computing disaster prevention and mitigation Science Q |
description |
Against the background of global warming, permafrost areas are facing increasing thawing, and the threat to the surface of the Qinghai–Tibet Engineering Corridor (QTEC) is serious. It is imperative to understand the current surface deformation and analyze the changes spatiotemporal characteristics for future warnings. At present, observation of a long time series and overall coverage of vertical ground deformation in QTEC are lacking. This paper takes the permafrost deformation of the QTEC as its research object. It uses the pretreated LiCSAR product and combines it with the LiCSBAS package to obtain monitoring results of the long time series deformation of the engineering corridor’s surface. The SAR image acquisition date is taken as the constraint, the results covering the whole processing area are selected, and then the vertical deformation information covering the entire engineering corridor area by ignoring the north–south displacement is calculated. The results show that the surface of the study area, as a whole, slightly subsided between May 2017 and March 2022, and the vertical deformation rate was mostly distributed at −27.068 mm/yr − 18.586 mm/yr, with an average of −1.06 mm/yr. Vertical deformation dominated at 52.84 percent of the study area, of which settlement accounted for 27.57 percent and uplift accounted for 25.27 percent. According to the statistics of the normal distribution of deformation velocity per pixel, a total of 77% of the engineering corridor was stable, with a vertical deformation rate between −6.964 mm/yr and −4.844 mm/yr, and 17.7% of the region was sub-stable, with a settling rate of −12.868 mm/yr − –6.964 mm/yr. The unstable regions included areas with settlement rates greater than 12.868 mm/yr and uplift rates greater than 10.748 mm/yr, representing 4.4 percent and 0.9 percent of the total area, respectively, for a total of 5.3 percent. The results of this paper can be used as the theoretical basis and as basic data for decision making and scientific research in various ... |
format |
Article in Journal/Newspaper |
author |
Qingsong Du Dun Chen Guoyu Li Yapeng Cao Yu Zhou Mingtang Chai Fei Wang Shunshun Qi Gang Wu Kai Gao Chunqing Li |
author_facet |
Qingsong Du Dun Chen Guoyu Li Yapeng Cao Yu Zhou Mingtang Chai Fei Wang Shunshun Qi Gang Wu Kai Gao Chunqing Li |
author_sort |
Qingsong Du |
title |
Preliminary Study on InSAR-Based Uplift or Subsidence Monitoring and Stability Evaluation of Ground Surface in the Permafrost Zone of the Qinghai–Tibet Engineering Corridor, China |
title_short |
Preliminary Study on InSAR-Based Uplift or Subsidence Monitoring and Stability Evaluation of Ground Surface in the Permafrost Zone of the Qinghai–Tibet Engineering Corridor, China |
title_full |
Preliminary Study on InSAR-Based Uplift or Subsidence Monitoring and Stability Evaluation of Ground Surface in the Permafrost Zone of the Qinghai–Tibet Engineering Corridor, China |
title_fullStr |
Preliminary Study on InSAR-Based Uplift or Subsidence Monitoring and Stability Evaluation of Ground Surface in the Permafrost Zone of the Qinghai–Tibet Engineering Corridor, China |
title_full_unstemmed |
Preliminary Study on InSAR-Based Uplift or Subsidence Monitoring and Stability Evaluation of Ground Surface in the Permafrost Zone of the Qinghai–Tibet Engineering Corridor, China |
title_sort |
preliminary study on insar-based uplift or subsidence monitoring and stability evaluation of ground surface in the permafrost zone of the qinghai–tibet engineering corridor, china |
publisher |
MDPI AG |
publishDate |
2023 |
url |
https://doi.org/10.3390/rs15153728 https://doaj.org/article/e5db1d40f2164f66bd91075363ef2424 |
genre |
permafrost |
genre_facet |
permafrost |
op_source |
Remote Sensing, Vol 15, Iss 3728, p 3728 (2023) |
op_relation |
https://www.mdpi.com/2072-4292/15/15/3728 https://doaj.org/toc/2072-4292 doi:10.3390/rs15153728 2072-4292 https://doaj.org/article/e5db1d40f2164f66bd91075363ef2424 |
op_doi |
https://doi.org/10.3390/rs15153728 |
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Remote Sensing |
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15 |
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