Monitoring

Real-Time Data in Urban Sustainability

This editorial explores the role of distributed sensors and real-time data in improving urban management, addressing sustainability issues through proactive strategies, digital twins, and inclusive frameworks, drawing on worldwide experiences to inform better decision-making and equitable outcomes. Urban Challenges: The Need for Better Environmental Data Integration Cities are confronting growing pressures from climate change, air […]

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Monitoring Amsterdams Bridges with InSAR

A structured Delft–Amsterdam research collaboration integrates bridge typologies, expected failure mechanisms, and satellite viewing geometry to translate one-dimensional MT-InSAR measurements into practical damage indicators, demonstrating how regional-scale millimetre-level displacement data can support systematic structural evaluation of urban bridge networks. The Urban Bridge Monitoring Dilemma Across Europe and beyond, bridge networks are aging under increasing traffic

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Low-Cost SFCW Radar Platform Advances Sub-Daily Environmental Monitoring

Researchers have developed an affordable tower-mounted SFCW radar built around a compact SDR-based VNA and enhanced RF front end. Operating in L- and C-bands with dual polarization, the system captures high-temporal-resolution microwave data on soil, vegetation, and snow processes—directly addressing the temporal gaps that limit satellite observations of rapid Earth system dynamics. The Challenge of

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Revolutionizing Immersed Tunnel Monitoring: How Optical Fibers Reveal Seasonal Joint Movements

Seeing Tunnel Movements in a New Light For the first time, distributed optical fiber sensors (DOFS) have been used to continuously track how every joint along an immersed tunnel moves through the seasons. The results show—clearly and quantitatively—how temperature cycles drive joint opening and closing. For engineers responsible for aging tunnel infrastructure, this is a

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Advancing Road Inspections with Drones and AI

What if engineers could scan entire road networks from the air and spot damage early, quickly, and safely? With drones and AI working together, pavement inspection is beginning to move from boots on the ground to intelligence in the sky. Here’s how UAV imagery and the YOLOv7 deep learning model support faster, safer, and more

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