Spatiotemporal-grained quantitative assessment of construction-induced deformation along the MTR in Hong Kong using MT-InSAR and iterative STL-based subsidence ratio analysis

• A novel method for quantitatively assessing MT-InSAR derived displacements. • Eight-year displacements along the Hong Kong MTR are investigated. • Overall and annual subsidence ratios are derived as indicators. • Historical and extended metro constructions and adjacent activities induced deformation. Multi-temporal synthetic aperture radar interferometry (MT-InSAR) offers unique advantages in monitoring ground deformation and structural stability along the metro lines. However, a vast number of complex deformation points, millions and even more, can be derived from InSAR making it challenging to identify the deformation hotspot in time series automatically. This paper proposes a novel method for quantitatively assessing the MT-InSAR-derived deformation results. We first introduce an iterative seasonal trend decomposition using loess (STL) method to confirm the optimal period for separating seasonal components from the displacement time series. Then, an absolute differences detector with rolling windows is proposed to quantify the subsidence ratio within the time series and allow deformation hotspots to be more visible. To validate the effectiveness of the proposed method, 468 scenes of Sentinel-1A ascending images from Jun. 2015 to Nov. 2023 over the Hong Kong Mass Transit Railway (MTR) are adopted. The results indicate that 99.2% of areas are relatively stable with the displacement velocity ranging from −2 mm/year to 2 mm/year, and 84% of the study area remained a subsidence ratio below 0.3, except for localized hotspots that exhibited either short or long-term subsidence trends. The findings of this study indicate that multiple deformation hotspots were identified at the intersections of several metro lines in the Kowloon Peninsula and along the Island line. In addition to the displacement velocity from the conventional MT-InSAR, the overall and annual subsidence ratios have been demonstrated to be useful indicators for quantitative assessment of the construction-induced deformation.

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Publication Details

Journal
International Journal of Applied Earth Observation and Geoinformation
Published
2024-12-30
DOI
https://doi.org/10.1016/j.jag.2024.104342
Citations
6
Primary Topic
Synthetic Aperture Radar (SAR) Applications and Techniques
Type
article
Field-Weighted Citation Impact
7.79

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article

Spatiotemporal-grained quantitative assessment of construction-induced deformation along the MTR in Hong Kong using MT-InSAR and iterative STL-based subsidence ratio analysis

Bochen Zhang, Wu Zhu, Siting Xiong, Chisheng Wang et al.
6 citations
International Journal of Applied Earth Observation and Geoinformation
Synthetic Aperture Radar (SAR) Applications and Techniques
7.79
article

Spatiotemporal-grained quantitative assessment of construction-induced deformation along the MTR in Hong Kong using MT-InSAR and iterative STL-based subsidence ratio analysis

Bochen Zhang, Wu Zhu, Siting Xiong, Chisheng Wang, Songbo Wu, Yuhao Liu, Jiayuan Zhang
article en
6 citations

Abstract

• A novel method for quantitatively assessing MT-InSAR derived displacements. • Eight-year displacements along the Hong Kong MTR are investigated. • Overall and annual subsidence ratios are derived as indicators. • Historical and extended metro constructions and adjacent activities induced deformation. Multi-temporal synthetic aperture radar interferometry (MT-InSAR) offers unique advantages in monitoring ground deformation and structural stability along the metro lines. However, a vast number of complex deformation points, millions and even more, can be derived from InSAR making it challenging to identify the deformation hotspot in time series automatically. This paper proposes a novel method for quantitatively assessing the MT-InSAR-derived deformation results. We first introduce an iterative seasonal trend decomposition using loess (STL) method to confirm the optimal period for separating seasonal components from the displacement time series. Then, an absolute differences detector with rolling windows is proposed to quantify the subsidence ratio within the time series and allow deformation hotspots to be more visible. To validate the effectiveness of the proposed method, 468 scenes of Sentinel-1A ascending images from Jun. 2015 to Nov. 2023 over the Hong Kong Mass Transit Railway (MTR) are adopted. The results indicate that 99.2% of areas are relatively stable with the displacement velocity ranging from −2 mm/year to 2 mm/year, and 84% of the study area remained a subsidence ratio below 0.3, except for localized hotspots that exhibited either short or long-term subsidence trends. The findings of this study indicate that multiple deformation hotspots were identified at the intersections of several metro lines in the Kowloon Peninsula and along the Island line. In addition to the displacement velocity from the conventional MT-InSAR, the overall and annual subsidence ratios have been demonstrated to be useful indicators for quantitative assessment of the construction-induced deformation.

International Journal of Applied Earth Observation and GeoinformationVol. 136
Hong Kong Polytechnic University (HK), Shenzhen University (CN), Chang'an University (CN), Peng Cheng Laboratory (CN)
National Natural Science Foundation of China, Ministry of Science and Technology of the People's Republic of China, Guangdong Science and Technology Department, National Key Research and Development Program of China, Basic and Applied Basic Research Foundation of Guangdong Province
Climate action
Openalex Percentile: Top 3%
Synthetic Aperture Radar (SAR) Applications and Techniques
7.79
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