Monitoring Buildings at Landslide Risk With SAR: A Methodology Based on the Use of Multipass Interferometric Data

Noviello, Carlo; Peduto, Dario; Verde, Simona; Zamparelli, Virginia; Fornaro, G.; Pauciullo, Antonio; Reale, Diego; Nicodemo, Gianfranco; Ferlisi, Settimio; Gullà, Giovanni

doi:10.1109/mgrs.2019.2963140

Cited by 39 publications

(16 citation statements)

References 119 publications

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“…The SAR data has been adopted in order to have further information about the slope movements in Ville San Pietro. The use of this technique for land planning and management is recent and in fast developing [24]. Unfortunately, the SAR technique is barely known and therefore still rarely exploited by technicians.…”

Section: Sar Interferometry Monitoringmentioning

confidence: 99%

Geotechnical Analysis and 3D Fem Modeling of Ville San Pietro (Italy)

Bovolenta

Bianchi

2020

Geosciences

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The paper describes the three-dimensional numerical model of Ville San Pietro, an Italian village subject to slope movements causing damage. The church (dating back to 1776), which is the most significant building of the area, is modelled too. The information from geotechnical and geophysical surveys on field are used to define the model geometry and the soil properties. A finite element code is adopted to simulate the slope behavior in occurrence of water table fluctuations, detected by piezometers, and to evaluate the slope displacements and stability. The validation of the model is carried out using the inclinometer and interferometry measures and by on-site inspections. The model demonstrated a good ability to simulate the slope behavior during the raising and lowering of the water table. The critical areas computed by the numerical code are in good accordance to the actual portions affected by soil displacements and damages. The modelling presented in this paper is crucial for future analyses that will take advantage of an innovative monitoring system, which will be installed on site.

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Section: Sar Interferometry Monitoringmentioning

confidence: 99%

Geotechnical Analysis and 3D Fem Modeling of Ville San Pietro (Italy)

Bovolenta

Bianchi

2020

Geosciences

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“…Differential synthetic aperture radar interferometry (DInSAR) [1][2][3][4] is a consolidated methodology for the detection and constant monitoring of Earth's surface ground displacements and the surveillance of infrastructures damage [5][6][7][8][9][10][11][12][13][14][15]. In recent years, the growing availability of RADAR images collected by constellations of synthetic aperture RADAR (SAR) satellites, which operate at different electromagnetic frequency bands and complementary acquisition modes, led to the flourish of a variegated series of DInSAR applications and novel technological developments.…”

Section: Introductionmentioning

confidence: 99%

Multi-Temporal Small Baseline Interferometric SAR Algorithms: Error Budget and Theoretical Performance

Pepe

2021

Remote Sensing

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Multi-temporal interferometric synthetic aperture radar (MT-InSAR) techniques are well recognized as useful tools for detecting and monitoring Earth’s surface temporal changes. In this work, the fundamentals of error noise propagation and perturbation theories are applied to derive the ground displacement products’ theoretical error bounds of the small baseline (SB) differential interferometric synthetic aperture radar algorithms. A general formulation of the least-squares (LS) optimization problem, representing the SB methods implementation’s core, was adopted in this research study. A particular emphasis was placed on the effects of time-uncorrelated phase unwrapping mistakes and time-inconsistent phase disturbances in sets of SB interferograms, leading to artefacts in the attainable InSAR products. Moreover, this study created the theoretical basis for further developments aimed at quantifying the error budget of the time-uncorrelated phase unwrapping mistakes and studying time-inconsistent phase artefacts for the generation of InSAR data products. Some experiments, performed by considering a sequence of synthetic aperture radar (SAR) images collected by the ASAR sensor onboard the ENVISAT satellite, supported the developed theoretical framework.

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“…In particular, the geometric and kinematic characterization of mass movements is a challenging goal that is essential for the later understanding of the mechanism and, then, to be able to analyse the causes and the conditioning factors. This is commonly achieved by geological-geomorphological methods and monitoring of ground displacements performed by topographic, geotechnical and, more recently, remote sensing techniques such as differential interferometric synthetic aperture radar (DInSAR) (Antronico et al 2013;Calò et al 2014;Crosetto et al 2016;Del Soldato et al 2018;Di Maio et al 2018;Frattini et al 2018;Gullà et al 2017;Noviello et al 2020;Peduto et al, 2017Peduto et al, , 2018Solari et al 2020;Tofani et al 2013;Wasowski and Pisano 2019). However, the use of ground-based and conventional monitoring systems (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…They are able to achieve centimetric to millimetric accuracy and to assess slope stability conditions in urban areas, e.g. see Crosetto et al (2011) and Noviello et al (2020). A complementary data source is given by ground-based SAR (GBSAR) (Noferini et al 2005;Monserrat et al 2014).…”

Section: Introductionmentioning

confidence: 99%

Investigating the kinematics of the unstable slope of Barberà de la Conca (Catalonia, Spain) and the effects on the exposed facilities by GBSAR and multi-source conventional monitoring

et al. 2020

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The paper presents a multi-source approach tailored for the analysis of ground movements affecting the village of Barberà de la Conca (Tarragona, Catalonia, Spain), where cracks on the ground and damage of different severity to structures and infrastructure was recorded. For this purpose, monitoring of ground displacements performed by topographic survey, geotechnical monitoring and remote sensing techniques (ground-based synthetic aperture radar, GBSAR) are combined with multi-temporal damage surveys and monitoring of cracks (crackmeters) to get an insight into the kinematics of the urban slope. The obtained results highlight the correspondence between the monitoring data and the effects on the exposed facilities induced by ground displacements, which seem to occur predominantly in the horizontal plane with diverging directions (northward and southward) from the main ground fracture crossing the centre of the village. The case study stands as a further contribution to fostering this kind of integrated approaches that via cross-validations can improve data reliability as well as enrich datasets for slope instability recognition and analysis, which are crucial to plan risk mitigation works.

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Monitoring Buildings at Landslide Risk With SAR: A Methodology Based on the Use of Multipass Interferometric Data

Cited by 39 publications

References 119 publications

Geotechnical Analysis and 3D Fem Modeling of Ville San Pietro (Italy)

Geotechnical Analysis and 3D Fem Modeling of Ville San Pietro (Italy)

Multi-Temporal Small Baseline Interferometric SAR Algorithms: Error Budget and Theoretical Performance

Investigating the kinematics of the unstable slope of Barberà de la Conca (Catalonia, Spain) and the effects on the exposed facilities by GBSAR and multi-source conventional monitoring

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