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Keywords = Line 12 of the Mexico City Metro

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19 pages, 24207 KiB  
Article
Anticipating the Collapse of Urban Infrastructure: A Methodology Based on Earth Observation and MT-InSAR
by Ignacio Rodríguez-Antuñano, Joaquín Martínez-Sánchez, Manuel Cabaleiro and Belén Riveiro
Remote Sens. 2023, 15(15), 3867; https://doi.org/10.3390/rs15153867 - 4 Aug 2023
Cited by 6 | Viewed by 2068
Abstract
Large-scale infrastructure monitoring and vulnerability assessment are crucial for the preservation and maintenance of built environments. To ensure the safety of urban infrastructure against natural and man-made disasters, constant monitoring is crucial. To do so, satellite Earth observation (EO) is being proposed, particularly [...] Read more.
Large-scale infrastructure monitoring and vulnerability assessment are crucial for the preservation and maintenance of built environments. To ensure the safety of urban infrastructure against natural and man-made disasters, constant monitoring is crucial. To do so, satellite Earth observation (EO) is being proposed, particularly radar-based imaging, because it allows large-scale constant monitoring since radar signals are not blocked by clouds and can be collected during both day and night. The proposed methodology for large-scale infrastructure monitoring and vulnerability assessment is based on MT-InSAR time series analysis. The homogeneity of the year-to-year displacement trend between each point and its surrounding points is evaluated to determine whether the area is a stable or vulnerable zone. To validate the methodology, four case studies of recently collapsed infrastructures are analyzed. The results indicate the potential of the proposed methodology for predicting and preventing structural collapses. Full article
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