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Article

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

1
Geohazards InSAR Laboratory and Modeling Group (InSARlab), Geoscience Research Department, Geological Survey of Spain (IGME), Alenza 1, 28003 Madrid, Spain
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Spanish Working Group on Ground Subsidence (SUBTER), UNESCO, 03690 Alicante, Spain
3
Escuela Técnica Superior de Ingenieros de Caminos, Canales y Puertos, Universidad Politécnica de Madrid, 28040 Madrid, Spain
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Department of Earth Sciences, University of Firenze, Via Giorgio La Pira 4, 50121 Firenze, Italy
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Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Division of Geomatics, Avenida Gauss, 7 08860 Castelldefels, Spain
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Departamento de Ingeniería Civil, Escuela Politécnica Superior, Universidad de Alicante, P.O. Box 99, 03080 Alicante, Spain
7
EuroGeoSurveys: Earth Observation and Geohazards Expert Group (EOEG), Rue Joseph II 36-38, 1000 Brussels, Belgium
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(10), 2749; https://doi.org/10.3390/s20102749
Received: 21 February 2020 / Revised: 26 April 2020 / Accepted: 6 May 2020 / Published: 12 May 2020
(This article belongs to the Special Issue Remote Sensing of Geohazards)
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. View Full-Text
Keywords: Sentinel-1; COSMO-SkyMed; Pistoia; land subsidence; vulnerability; fragility curves Sentinel-1; COSMO-SkyMed; Pistoia; land subsidence; vulnerability; fragility curves
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MDPI and ACS Style

Ezquerro, P.; Del Soldato, M.; Solari, L.; Tomás, R.; Raspini, F.; Ceccatelli, M.; Fernández-Merodo, J.A.; Casagli, N.; Herrera, G. Vulnerability Assessment of Buildings due to Land Subsidence Using InSAR Data in the Ancient Historical City of Pistoia (Italy). Sensors 2020, 20, 2749. https://doi.org/10.3390/s20102749

AMA Style

Ezquerro P, Del Soldato M, Solari L, Tomás R, Raspini F, Ceccatelli M, Fernández-Merodo JA, Casagli N, Herrera G. Vulnerability Assessment of Buildings due to Land Subsidence Using InSAR Data in the Ancient Historical City of Pistoia (Italy). Sensors. 2020; 20(10):2749. https://doi.org/10.3390/s20102749

Chicago/Turabian Style

Ezquerro, Pablo, Matteo Del Soldato, Lorenzo Solari, Roberto Tomás, Federico Raspini, Mattia Ceccatelli, José A. Fernández-Merodo, Nicola Casagli, and Gerardo Herrera. 2020. "Vulnerability Assessment of Buildings due to Land Subsidence Using InSAR Data in the Ancient Historical City of Pistoia (Italy)" Sensors 20, no. 10: 2749. https://doi.org/10.3390/s20102749

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