RT Journal Article
T1 Anticipating the collapse of urban infrastructure: a methodology based on Earth Observation and MT-InSAR
A1 Rodriguez Antuñano, Ignacio
A1 Martínez Sánchez, Joaquín
A1 Cabaleiro Núñez, Manuel
A1 Riveiro Rodríguez, Belén
K1 3311.02 Ingeniería de Control
K1 3305.06 Ingeniería Civil
AB 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.
PB Remote Sensing
SN 20724292
YR 2023
FD 2023-08-04
LK http://hdl.handle.net/11093/5105
UL http://hdl.handle.net/11093/5105
LA eng
NO Remote Sensing, 15(15): 3867 (2023)
NO Ministerio de Ciencia e Innovación | Ref. PID2021-124236OB-C33
DS Investigo
RD 04-dic-2024