Ground Subsidence Monitoring in Hong Kong with Satellite SAR Interferometry

Abstract. Ground subsidence has become a serious problem along with the rapid urban expansions. Compared with traditional point-based ground survey techniques (GPS, levelling measurement and in-situ sensors), SAR Interferometry are quite appreciated for large-scale subsidence monitoring with long term and high accuracy. In this study, we focused on large-scale subsidence geohazard monitoring of central Lishui (China) and extracted subsidence velocity map of Liandu District. 57 Sentinle-1 SAR images from April 2019 to September 2020 are analysed with SBAS-InSAR technique. The overall subsidence of Liandu is significantly correlated with the distributions of construction engineering sites with displacement velocity of approximately 30–60 mm/yr. Various types of urban ground subsidence could be identified, including the overall settlement of large construction site, the slope deformation of construction excavation, significant settlement of refuse landfill and mountain crossing tunnel, and small deformation of highvoltage towers in mountainous areas. Our results indicated that the rapid urban developments are the dominant impact factors of subsidence in Lishui, China.

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Application Terrasar-X data for studying land subsidence in Hanoi City

Vietnam Journal of Earth Sciences ◽

10.15625/0866-7187/41/4/14236 ◽

2019 ◽

Vol 41 (4) ◽

pp. 339-357

Author(s):

Nguyen Duc Anh ◽

Tran Quoc Cuong ◽

Tran Van Anh ◽

Hoang Anh The ◽

Nguyen Trung Thanh ◽

...

Keyword(s):

Spatial Scale ◽

Land Subsidence ◽

Central Area ◽

High Accuracy ◽

Sar Interferometry ◽

Ground Subsidence ◽

Data Set ◽

Large Spatial Scale ◽

X Band ◽

Subsidence Monitoring

SAR Interferometry (InSAR) is a technique to measure land subsidence and can build a subsidence map on a large spatial scale with high accuracy. The study presented the application of PSInSAR for determining the subsidence of the central area of Hanoi through Terrasar-X data set from 2010 to 2015, with 23 images. The result shows that some area has the high subsidence in the districts of Hanoi such as Hoang Mai, Ha Dong and the slow subsidence such as Dong Da, Hai Ba Trung with subsidence velocity is less than -10mm/year. Besides, the correlation between ground subsidence measured by PSInSAR and subsidence monitoring of building CC02 Van Quan in Ha Dong district for the same period was computed with a correlation coefficient (R2) of 0.94. The PSInSAR technique can detect and estimate subsidence phenomena effectively with X-band.1.

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Ground subsidence monitoring with SAR interferometry techniques in the rural area of Al Wagan, UAE

Remote Sensing of Environment ◽

10.1016/j.rse.2018.07.001 ◽

2018 ◽

Vol 216 ◽

pp. 276-288 ◽

Cited By ~ 11

Author(s):

Nikolaos Liosis ◽

Prashanth Reddy Marpu ◽

Kosmas Pavlopoulos ◽

Taha B.M.J. Ouarda

Keyword(s):

Rural Area ◽

Sar Interferometry ◽

Ground Subsidence ◽

Subsidence Monitoring

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Vulnerability Assessment of Buildings due to Land Subsidence Using InSAR Data in the Ancient Historical City of Pistoia (Italy)

Sensors ◽

10.3390/s20102749 ◽

2020 ◽

Vol 20 (10) ◽

pp. 2749 ◽

Cited By ~ 8

Author(s):

Pablo Ezquerro ◽

Matteo Del Soldato ◽

Lorenzo Solari ◽

Roberto Tomás ◽

Federico Raspini ◽

...

Keyword(s):

Fragility Curves ◽

Central Italy ◽

Sar Interferometry ◽

Ground Subsidence ◽

Public And Private ◽

Radar Images ◽

Spatial Deformation ◽

Damage Probability ◽

Medium Resolution ◽

Vertical Displacements

The launch of the medium resolution Synthetic Aperture Radar (SAR) Sentinel-1 constellation in 2014 has allowed public and private organizations to introduce SAR interferometry (InSAR) products as a valuable option in their monitoring systems. The massive stacks of displacement data resulting from the processing of large C-B and radar images can be used to highlight temporal and spatial deformation anomalies, and their detailed analysis and postprocessing to generate operative products for final users. In this work, the wide-area mapping capability of Sentinel-1 was used in synergy with the COSMO-SkyMed high resolution SAR data to characterize ground subsidence affecting the urban fabric of the city of Pistoia (Tuscany Region, central Italy). Line of sight velocities were decomposed on vertical and E–W components, observing slight horizontal movements towards the center of the subsidence area. Vertical displacements and damage field surveys allowed for the calculation of the probability of damage depending on the displacement velocity by means of fragility curves. Finally, these data were translated to damage probability and potential loss maps. These products are useful for urban planning and geohazard management, focusing on the identification of the most hazardous areas on which to concentrate efforts and resources.

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