A Study of Ground Movements in Brussels (Belgium) Monitored by Persistent Scatterer Interferometry over a 25-Year Period

Declercq, Pierre-Yves; Walstra, J.; Gérard, Pierre; Pirard, Eric; Perissin, Daniele; Meyvis, Bruno; Devleeschouwer, Xavier

doi:10.3390/geosciences7040115

Cited by 11 publications

(11 citation statements)

References 28 publications

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“…In this study, the PSI analyses were performed in the software SARPROZ, which can do all necessary steps in a PSI analysis and produce time series of deformation [24]. The SARPROZ software has been successfully tested for different applications including urban subsidence studies [25][26][27][28]. SARPROZ can handle data from different sensors, including Sentinel-1.…”

Section: Methodsmentioning

confidence: 99%

Analysis of Clay-Induced Land Subsidence in Uppsala City Using Sentinel-1 SAR Data and Precise Leveling

Fryksten

Nilfouroushan

2019

Remote Sensing

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Land subsidence and its subsequent hazardous effects on buildings and urban infrastructure are important issues in many cities around the world. The city of Uppsala in Sweden is undergoing significant subsidence in areas that are located on clay. Underlying clay units in parts of Uppsala act as mechanically weak layers, which for instance, cause sinking of the ground surface and tilting buildings. Interferometric Synthetic Aperture Radar (InSAR) has given rise to new methods of measuring movements on earth surface with a precision of a few mm. In this study, a Persistent Scatterer Interferometry (PSI) analysis was performed to map the ongoing ground deformation in Uppsala. The subsidence rate measured with PSI was validated with precise leveling data at different locations. Two ascending and descending data sets were analyzed using SARPROZ software, with Sentinel-1 data from the period March 2015 to April 2019. After the PSI analyses, comparative Permanent Scatterer (PS) points and metal pegs (measured with precise leveling) were identified creating validation pairs. According to the PSI analyses, Uppsala was undergoing significant subsidence in some areas, with an annual rate of about 6 mm/year in the line-of-sight direction. Interestingly, the areas of great deformation were exclusively found on postglacial clay.

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Section: Methodsmentioning

confidence: 99%

Analysis of Clay-Induced Land Subsidence in Uppsala City Using Sentinel-1 SAR Data and Precise Leveling

Fryksten

Nilfouroushan

2019

Remote Sensing

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“…With an analogous objective, the paper by Declercq et al [11] provides a 25-year long (1992-2017) study of ground instability for the city of Brussels (Belgium) through combination of C-and X-band satellite SAR data from the ERS-1/2, ENVISAT, TerraSAR-X, and Sentinel-1 missions. A total of 300 scenes are processed with Persistent Scatterers (PS) methods to extract deformation time series and detect the evolution of ground deformation.…”

Section: Data Methods and Geohazard Domainsmentioning

confidence: 99%

Observing Geohazards from Space

Cigna

2018

Geosciences

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Abstract:With a wide spectrum of imaging capabilities-from optical to radar sensors, low to very high resolution, continental to local scale, single-image to multi-temporal approaches, yearly to sub-daily acquisition repeat cycles-Earth Observation (EO) offers several opportunities for the geoscience community to map and monitor natural and human-induced Earth hazards from space. The Special Issue "Observing Geohazards from Space" of Geosciences gathers 12 research articles on the development, validation, and implementation of satellite EO data, processing methods, and applications for mapping and monitoring of geohazards such as slow moving landslides, ground subsidence and uplift, and active and abandoned mining-induced ground movements. Papers published in this Special Issue provide novel case studies demonstrating how EO and remote sensing data can be used to detect and delineate land instability and geological hazards in different environmental contexts and using a range of spatial resolutions and image processing methods. Remote sensing datasets used in the Special Issue papers encompass satellite imagery from the ERS-1/2, ENVISAT, RADARSAT-1/2, and Sentinel-1 C-band, TerraSAR-X and COSMO-SkyMed X-band, and ALOS L-band SAR missions; Landsat 7, SPOT-5, WorldView-2/3, and Sentinel-2 multi-spectral data; UAV-derived RGB and near infrared aerial photographs; LiDAR surveying; and GNSS positioning data. Techniques that are showcased include, but are not limited to, differential Interferometric SAR (InSAR) and its advanced approaches such as Persistent Scatterers (PS) and Small Baseline Subset (SBAS) methods to estimate ground deformation, Object-Based Image Analysis (OBIA) to identify landslides in high resolution multi-spectral data, UAV and airborne photogrammetry, Structure-from-Motion (SfM) for digital elevation model generation, aerial photo-interpretation, feature extraction, and time series analysis. Case studies presented in the papers focus on landslides, natural and human-induced subsidence, and groundwater management and mining-related ground deformation in many local to regional-scale study areas in

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“…The region of interest (ROI) covers a large area containing the towns of Merchtem, Aalst, Opwijk and Steenhuffel. This research has two main goals: i) to map the land subsidence bowl (already described in [3]) during three decades by adding Sentinel1A data, ii) to process TerraSAR-X Stripmap SAR images to map precisely the most recent evolution of the subsidence bowl.…”

Section: Introductionmentioning

confidence: 99%

Land Subsidence Observed in the Merchtem Area (Flanders) – 30 Years of SAR Data Associated to Groundwater Withdrawal?

Choopani

Declercq

Dassargues

et al. 2021

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS

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A land subsidence affecting several towns at the joining limits of the Belgian Provinces of East Flanders, Antwerp and Flemish Brabant is followed during the last three decades. ERS 1-2, ENVISAT, TerraSAR-X and Sentinel 1A satellites SAR scenes were processed from 1992 till October 2020 to map the land subsidence evolution. The subsidence corresponds to a surface area of 220 km² during the ERS1/2 time interval distributed over three distinct subsidence bowls. During the ENVISAT and TerraSAR-X time interval, only one residual subsidence bowl was mapped affecting a surface area of about 70 km². Several towns (Londerzeel and Steenhuffel) remained in the center of the subsidence bowl. The annual average negative velocity values range between -5.99 and -0.5 mm/year. More recently, during the Sentinel 1A period, the subsidence bowl has lost half of its surface reaching 36 km². The velocity values have also decreased during the period 2016-2020.

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A Study of Ground Movements in Brussels (Belgium) Monitored by Persistent Scatterer Interferometry over a 25-Year Period

Cited by 11 publications

References 28 publications

Analysis of Clay-Induced Land Subsidence in Uppsala City Using Sentinel-1 SAR Data and Precise Leveling

Analysis of Clay-Induced Land Subsidence in Uppsala City Using Sentinel-1 SAR Data and Precise Leveling

Observing Geohazards from Space

Land Subsidence Observed in the Merchtem Area (Flanders) – 30 Years of SAR Data Associated to Groundwater Withdrawal?

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