Monitoring dam structural health from space: Insights from novel InSAR techniques and multi-parametric modeling applied to the Pertusillo dam Basilicata, Italy

Milillo, Pietro; Perissin, Daniele; Salzer, Jacqueline; Lundgren, P.; Lacava, Giusy; Milillo, G.; Serio, Carmine

doi:10.1016/j.jag.2016.06.013

Cited by 123 publications

(92 citation statements)

References 18 publications

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“…Having solved the vertical subsidence in Area #1, the 2-D horizontal motions in the north and east directions were estimated based on Equation (6). The results are shown in Figure 4d-i, respectively.…”

Section: Horizontal Motions In the East And North Directionsmentioning

confidence: 99%

“…The capability of interferometric synthetic aperture radar (InSAR) techniques to monitor the surface deformation associated with the Earth and/or anthropic activities has been presented in many studies (e.g., [1][2][3][4][5][6][7][8][9][10][11]). However, due to the side-looking imaging geometry of the current synthetic aperture radar (SAR) sensors, InSAR observations are one-dimensional (1-D) along the radar's line-of-sight (LOS) direction, rather than the actual 3-D displacements in the vertical, east, and north directions.…”

Section: Introductionmentioning

confidence: 99%

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Retrieving 3-D Large Displacements of Mining Areas from a Single Amplitude Pair of SAR Using Offset Tracking

et al. 2017

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Due to the side-looking imaging geometry of the current synthetic aperture radar (SAR) sensors, only ground deformation along the radar's line-of-sight (LOS) and azimuth directions can be potentially obtained from a single amplitude pair (SAP) of SAR using offset tracking (OT) procedures. This significantly hinders the accurate assessment of mining-related hazards and better understanding of the mining subsidence mechanism. In this paper, we propose a method for completely retrieving three-dimensional (3-D) mining-induced displacements with OT-derived observations of LOS deformation from a single amplitude pair of SAR (referred to as OT-SAP hereinafter). The OT-SAP method first constructs two extra constraints at each pixel of the mining area based on the proportional relationship between the horizontal motion of the mining area and the gradients of the vertical subsidence in the east and north directions. The full 3-D mining-induced displacements are then solved by coupling the two constructed extra constraints with the OT-derived observations of the LOS deformation. The Daliuta coal mining area in China was selected to test the proposed OT-SAP method. The results show that the maximum 3-D displacements of this mining area were about 4.3 m, 1.1 m, and 1.3 m in the vertical, east, and north directions, respectively, from 21 November 2012 to 6 February 2013. The accuracies of the retrieved displacements in the vertical and horizontal directions are about 0.201 m and 0.214 m, respectively, which are much smaller than the mining-induced displacements in this mining area and can satisfy the basic requirements of mining deformation monitoring.

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Section: Horizontal Motions In the East And North Directionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Retrieving 3-D Large Displacements of Mining Areas from a Single Amplitude Pair of SAR Using Offset Tracking

et al. 2017

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“…In particular, the availability of high resolution and short repeat time satellite constellations lead to more effective near real-time disaster monitoring, assessment response and greater ability to constrain dynamically changing physical processes [3,4]. Although many studies have been carried out using InSAR in the field of structural monitoring looking at urban areas [5][6][7], bridges [8,9], railways [10,11], tunneling [12][13][14][15], and dams [16][17][18][19], state of the art scientific literature sees only few papers coupling MT-InSAR and structural modeling as a building damage assessment tool [6,[20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Multi-Temporal InSAR Structural Damage Assessment: The London Crossrail Case Study

et al. 2018

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Spaceborne multi-temporal interferometric synthetic aperture radar (MT-InSAR) is a monitoring technique capable of extracting line of sight (LOS) cumulative surface displacement measurements with millimeter accuracy. Several improvements in the techniques and datasets quality led to more effective, near real time assessment and response, and a greater ability of constraining dynamically changing physical processes. Using examples of the COSMO-SkyMed (CSK) system, we present a methodology that bridges the gaps between MT-InSAR and the relative stiffness method for tunnel-induced subsidence damage assessment. The results allow quantification of the effect of the building on the settlement profile. As expected the greenfield deformation assessment tends to provide a conservative estimate in the majority of cases (~71% of the analyzed buildings), overestimating tensile strains up to 50%. With this work we show how these two techniques in the field of remote sensing and structural engineering can be synergistically used to complement and replace the traditional ground based analysis by providing an extended coverage and a temporally dense set of data.

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“…They are very useful for non-instrumented dams, in fact the frequency of the surveying campaigns are generally higher than the classical topographical ones (satellites can survey the same area with intervals of the order of some days) and they observe the surrounding area, too. Limiting factors can be the fact that the deformation is estimated just along a single direction or the satellite availability (see for example the time series realized by Anghel et al 2016), even if recently Milillo et al (2016) proposed a method for increasing the temporal sampling in some situations. Also terrestrial SAR has been proposed (Mascolo et al 2014).…”

Section: Introductionmentioning

confidence: 99%

Estimating and Comparing Dam Deformations Using Classical and GNSS Techniques

Barzaghi¹,

Cazzaniga²,

Gaetani³

et al. 2018

Preprint

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GNSS receivers are nowadays commonly used in monitoring applications, e.g. in estimating crustal and infrastructure deformations. This is basically due to the recent improvements in GNSS instruments and methodologies that allow high precision positioning, 24h availability and semiautomatic data processing. In this paper, GNSS estimated deformations on a dam structure have been analyzed and compared with pendulum data. This study has been carried out for the Eleonora D'Arborea (Cantoniera) dam, which is in the Sardinia Island. Time series of pendulum and GNSS over a time span of 2.5 years have been aligned so to be comparable. Analytical models fitting these time series have been estimated and compared. Those models were able to properly fit pendulum data and GNSS data, with standard deviation of residuals smaller than one millimeter. This encouraging results led to the conclusion that GNSS technique can be profitably applied to dam monitoring allowing a denser description, both in space and time, of the dam displacements than the one based on pendulum observations.

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Monitoring dam structural health from space: Insights from novel InSAR techniques and multi-parametric modeling applied to the Pertusillo dam Basilicata, Italy

Cited by 123 publications

References 18 publications

Retrieving 3-D Large Displacements of Mining Areas from a Single Amplitude Pair of SAR Using Offset Tracking

Retrieving 3-D Large Displacements of Mining Areas from a Single Amplitude Pair of SAR Using Offset Tracking

Multi-Temporal InSAR Structural Damage Assessment: The London Crossrail Case Study

Estimating and Comparing Dam Deformations Using Classical and GNSS Techniques

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