Multi-temporal mapping of land subsidence at basin scale exploiting Persistent Scatterer Interferometry: case study of Gioia Tauro plain (Italy)

Raspini, Federico; Cigna, Francesca; Moretti, Sandro

doi:10.1080/17445647.2012.743440

Cited by 61 publications

(45 citation statements)

References 16 publications

(17 reference statements)

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“…First, the average LOS velocity of each dataset was interpolated by an inverse distance weighted (IDW) approach, and, then, the component of motion was decomposed using these interpolated maps. The method was previously used by several authors [36,37]. If the horizontal component of motion is absent, the vertical component of motion can be extracted using the incidence angle (θ) of the dataset acquired in one mode (ascending or descending) using the following equation:…”

Section: Methodsmentioning

confidence: 99%

Methodology for Detection and Interpretation of Ground Motion Areas with the A-DInSAR Time Series Analysis

2016

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Recent improvement to Advanced Differential Interferometric SAR (A-DInSAR) time series quality enhances the knowledge of various geohazards. Ground motion studies need an appropriate methodology to exploit the great potential contained in the A-DInSAR time series. Here, we propose a methodology to analyze multi-sensors and multi-temporal A-DInSAR data for the geological interpretation of areas affected by land subsidence/uplift and seasonal movements.The methodology was applied in the plain area of the Oltrepo Pavese (Po Plain, Italy) using ERS-1/2 and Radarsat data, processed using the SqueeSAR™ algorithm, and covering time spans, respectively, from 1992 to 2000 and from 2003 to 2010. The test area is a representative site of the Po Plain, affected by various geohazards and characterized by moderate rates of motion, ranging from −10 to 4 mm/yr. Different components of motion were recognized: linear, non-linear, and seasonal deformational behaviors. Natural and man-induced processes were identified such as swelling/shrinkage of clayey soils, land subsidence due to load of new buildings, moderate tectonic uplift, and seasonal ground motion due to seasonal groundwater level variations.

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Section: Methodsmentioning

confidence: 99%

Methodology for Detection and Interpretation of Ground Motion Areas with the A-DInSAR Time Series Analysis

2016

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“…Hence, the resulting datasets can estimate only a small component of the 3D real motion of the landslide, i.e., the projection along the satellite LOS. Under the assumption of absence of N-S deformation components, combining ascending and descending information permits one to extract the vertical and horizontal (in the east-west direction) components of the movement and, consequently, the real vector of displacement [54][55][56] (Figure 4). …”

Section: Psi Datamentioning

confidence: 99%

Persistent Scatterer Interferometry (PSI) Technique for Landslide Characterization and Monitoring

et al. 2013

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Abstract:The measurement of landslide superficial displacement often represents the most effective method for defining its behavior, allowing one to observe the relationship with triggering factors and to assess the effectiveness of the mitigation measures. Persistent Scatterer Interferometry (PSI) represents a powerful tool to measure landslide displacement, as it offers a synoptic view that can be repeated at different time intervals and at various scales. In many cases, PSI data are integrated with in situ monitoring instrumentation, since the joint use of satellite and ground-based data facilitates the geological interpretation of a landslide and allows a better understanding of landslide geometry and kinematics. In this work, PSI interferometry and conventional ground-based monitoring techniques have been used to characterize and to monitor the Santo Stefano d'Aveto landslide located in the Northern Apennines, Italy. This landslide can be defined as an earth rotational slide. PSI analysis has contributed to a more in-depth investigation of the phenomenon. In particular, PSI measurements have allowed better redefining of the boundaries of the landslide and the state of activity, while the time series analysis has permitted better understanding of the deformation pattern and its relation with the causes of the landslide itself. The integration of ground-based monitoring data and PSI data have provided sound results for landslide characterization. The punctual information deriving from inclinometers can help in defining the actual location of the sliding surface and the involved volumes, while the measuring of pore water pressure conditions or water table level can suggest a correlation between the deformation patterns and the triggering factors.

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“…If data acquired in both orbits are available, this problem can be overcome, since the velocity (or the rate) of vertical and horizontal (only in E-W direction) deformations can be calculated by solving the following equation system [26,36]:…”

Section: Methodsmentioning

confidence: 99%

A Procedure to Map Subsidence at the Regional Scale Using the Persistent Scatterer Interferometry (PSI) Technique

et al. 2014

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Abstract:In this paper, we present a procedure to map subsidence at the regional scale by means of persistent scatterer interferometry (PSI). Subsidence analysis is usually restricted to plain areas and where the presence of this phenomenon is already known. The proposed procedure allows a fast identification of subsidences in large and hilly-mountainous areas. The test area is the Tuscany region, in Central Italy, where several areas are affected by natural and anthropogenic subsidence and where PSI data acquired by the Envisat satellite are available both in ascending and descending orbit. The procedure consists of the definition of the vertical and horizontal components of the deformation measured by satellite at first, then of the calculation of the "real" displacement direction, so that mainly vertical deformations can be individuated and mapped.

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Multi-temporal mapping of land subsidence at basin scale exploiting Persistent Scatterer Interferometry: case study of Gioia Tauro plain (Italy)

Cited by 61 publications

References 16 publications

Methodology for Detection and Interpretation of Ground Motion Areas with the A-DInSAR Time Series Analysis

Methodology for Detection and Interpretation of Ground Motion Areas with the A-DInSAR Time Series Analysis

Persistent Scatterer Interferometry (PSI) Technique for Landslide Characterization and Monitoring

A Procedure to Map Subsidence at the Regional Scale Using the Persistent Scatterer Interferometry (PSI) Technique

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