[HTML][HTML] A systematic review of data fusion techniques for optimized structural health monitoring

S Hassani, U Dackermann, M Mousavi, J Li - Information Fusion, 2024 - Elsevier
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 …

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 …

GIS integration of DInSAR measurements, geological investigation and historical surveys for the structural monitoring of buildings and infrastructures: an application to …

A Miano, F Di Carlo, A Mele, I Giannetti, N Nappo… - Infrastructures, 2022 - mdpi.com
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 …

Adafinder tool applied to EGMS data for the structural health monitoring of urban settlements

A Mele, M Crosetto, A Miano, A Prota - Remote Sensing, 2023 - mdpi.com
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 …

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 …

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 …

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 …

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 …

Fast InSAR time-series analysis method in a full-resolution SAR coordinate system: A case study of the Yellow River Delta

H Duan, Y Li, B Li, H Li - Sustainability, 2022 - mdpi.com
Ground deformation is a major determinant of delta sustainability. Sentinel-1 Terrain
Observation by Progressive Scans (TOPS) data are widely used in interferometric synthetic …

PSI Spatially Constrained Clustering: The Sibari and Metaponto Coastal Plains

N Amoroso, R Cilli, DO Nitti, R Nutricato, MC Iban… - Remote Sensing, 2023 - mdpi.com
PSI data are extremely useful for monitoring on-ground displacements. In many cases,
clustering algorithms are adopted to highlight the presence of homogeneous patterns; …