ABSTRACT
Instrumentation and monitoring are crucial in modern tunneling practices, ensuring safety and efficiency in urban construction. Satellite-based InSAR technology has emerged as a cost-effective, non-invasive tool providing millimetric ground deformation measurements comparable to manual leveling. In tunneling projects, this technology is mainly used to monitor the settlement of surrounding structures along the alignment, particularly in areas undergoing dewatering, and for long-term asset performance monitoring. Recent advancements in data science, image processing, satellite acquisition frequency, and delivery mechanisms have enhanced InSAR’s operational efficiency. However, the large datasets generated can be challenging for end-users. To address this, Sixense developed the Atlas+ package, a suite of advanced analytics tools using Big Data and AI techniques to make InSAR data accessible and actionable. This paper demonstrates the Atlas+ package’s application over a 370 km² InSAR dataset in London, analyzing 9 million measurement points and focusing on deformation across the city’s transportation tunnel network.
