[HTML][HTML] A systematic review of data fusion techniques for optimized structural health monitoring
Advancements in structural health monitoring (SHM) techniques have spiked in the past few
decades due to the rapid evolution of novel sensing and data transfer technologies. This …
decades due to the rapid evolution of novel sensing and data transfer technologies. This …
A MTInSAR‐Based Early Warning System to Appraise Deformations in Simply Supported Concrete Girder Bridges
M Calò, S Ruggieri, A Nettis… - Structural Control and …, 2024 - Wiley Online Library
This paper presents an early warning system to investigate deformations in simply
supported concrete girder bridges over time, using the information content provided by …
supported concrete girder bridges over time, using the information content provided by …
GIS integration of DInSAR measurements, geological investigation and historical surveys for the structural monitoring of buildings and infrastructures: an application to …
Structural health monitoring is a crucial issue in areas with different hazard sources, such as
Italy. Among non-invasive monitoring techniques, remote sensing provides useful …
Italy. Among non-invasive monitoring techniques, remote sensing provides useful …
Adafinder tool applied to EGMS data for the structural health monitoring of urban settlements
The new European Ground Motion Service (EGMS) opens a new prospect in the study of the
ground deformation phenomena influencing structures and infrastructures, at regional scale …
ground deformation phenomena influencing structures and infrastructures, at regional scale …
Proposed vulnerability assessment model for masonry buildings on slow-moving landslides based on physical models and field observations
Q Chen, R Macciotta, L Chen, K Yin, L Gui… - Bulletin of Engineering …, 2023 - Springer
The collection of relevant information about the vulnerability of infrastructure damaged by
landslides is not an easy task due to the existence of several compounding factors and …
landslides is not an easy task due to the existence of several compounding factors and …
Italian COSMO-SkyMed atlas: R-Index and the percentage of measurability of movement
G Bausilio, MA Khalili, M Virelli… - GIScience & Remote …, 2024 - Taylor & Francis
ABSTRACT SAR (Synthetic Aperture Radar) satellite interferometry is a helpful remote
sensing technique for large areas analyses and monitoring, especially where the study area …
sensing technique for large areas analyses and monitoring, especially where the study area …
Integration of Data and Predictive Models for the Evaluation of Air Quality and Noise in Urban Environments
J Govea, W Gaibor-Naranjo, S Sanchez-Viteri… - Sensors, 2024 - mdpi.com
This work addresses assessing air quality and noise in urban environments by integrating
predictive models and Internet of Things technologies. For this, a model generated heat …
predictive models and Internet of Things technologies. For this, a model generated heat …
On the combined use of satellite and on-site information for monitoring anomalous trends in structures within cultural heritage sites
M De Iuliis, M Crognale, F Potenza… - Journal of Civil Structural …, 2024 - Springer
Existing structures and infrastructures are exposed worldwide to different types of hazards
during their service life, such as earthquakes or landslides, especially in countries …
during their service life, such as earthquakes or landslides, especially in countries …
Fast InSAR time-series analysis method in a full-resolution SAR coordinate system: A case study of the Yellow River Delta
Ground deformation is a major determinant of delta sustainability. Sentinel-1 Terrain
Observation by Progressive Scans (TOPS) data are widely used in interferometric synthetic …
Observation by Progressive Scans (TOPS) data are widely used in interferometric synthetic …
PSI Spatially Constrained Clustering: The Sibari and Metaponto Coastal Plains
PSI data are extremely useful for monitoring on-ground displacements. In many cases,
clustering algorithms are adopted to highlight the presence of homogeneous patterns; …
clustering algorithms are adopted to highlight the presence of homogeneous patterns; …