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Extensive monitoring of acoustic activities is important for many fields, including biology, security, oceanography, and Earth science. Distributed acoustic sensing (DAS) is an evolving technique for continuous, wide-coverage measurements…

Geophysics · Physics 2025-08-27 Angeliki Xenaki , Peter Gerstoft , Ethan Williams , Shima Abadi

Distributed Acoustic Sensing (DAS) using fiber optic cables is a promising new technology for pipeline monitoring and protection. In this work, we applied and compared two approaches for event detection using DAS: Classic machine learning…

Machine Learning · Computer Science 2019-04-29 Mugdim Bublin

Submarine cables play a critical role in global internet connectivity, energy transmission, and communication but remain vulnerable to accidental damage and sabotage. Recent incidents in the Baltic Sea highlighted the need for enhanced…

Distributed Acoustic Sensing (DAS) has emerged as a promising tool for real-time traffic monitoring in densely populated areas. In this paper, we present a novel concept that integrates DAS data with co-located visual information. We use…

Geophysics · Physics 2025-08-26 Khen Cohen , Liav Hen , Ariel Lellouch

Moving loads such as cars and trains are very useful sources of seismic waves, which can be analyzed to retrieve information on the seismic velocity of subsurface materials using the techniques of ambient noise seismology. This information…

Signal Processing · Electrical Eng. & Systems 2021-04-28 Vincent Dumont , Verónica Rodríguez Tribaldos , Jonathan Ajo-Franklin , Kesheng Wu

Distributed Acoustic Sensing (DAS) is an emerging technology for earthquake monitoring and subsurface imaging. The recorded seismic signals by DAS have several distinct characteristics, such as unknown coupling effects, strong anthropogenic…

Geophysics · Physics 2023-03-16 Weiqiang Zhu , Ettore Biondi , Jiaxuan Li , Jiuxun Yin , Zachary E. Ross , Zhongwen Zhan

Intelligent transport systems (ITS) are pivotal in the development of sustainable and green urban living. ITS is data-driven and enabled by the profusion of sensors ranging from pneumatic tubes to smart cameras. This work explores a novel…

Machine Learning · Computer Science 2022-09-14 Chia-Yen Chiang , Mona Jaber , Peter Hayward

We introduce a modular software framework designed to integrate distributed acoustic sensing (DAS) data into operational earthquake monitoring systems. Building on the infrastructure of the Advanced National Seismic System (ANSS) and the…

Distributed Acoustic Sensing (DAS) enables high-resolution and long-duration monitoring of marine acoustic and seismic activity by turning existing fiber-optic cables into dense sensor arrays. However, extracting diverse signals from…

Distributed Acoustic Sensing (DAS) has become a popular method of observing seismic wavefields: backscattered pulses of light reveal strains or strain-rates at any location along a fiber-optic cable. In contrast, a few newer systems…

Effective urban traffic monitoring is essential for improving mobility, enhancing safety, and supporting sustainable cities. Distributed Acoustic Sensing (DAS) enables large-scale traffic observation by transforming existing fiber-optic…

Machine Learning · Computer Science 2026-03-17 Izhan Fakhruzi , Manuel Titos , Carmen Benítez , Luz García

We present a scalable method for geolocalizing buried fiber-optic cables using Distributed Acoustic Sensing (DAS) and traffic-induced quasi-static seismic signals. Assuming access to one end of the fiber, the method fuses DAS measurements…

Geophysics · Physics 2026-04-14 Khen Cohen , Natanel Nissan , Ofir Nissan , Ariel Lellouch

Distributed Acoustic Sensing (DAS) enables continuous monitoring of dynamic strain along tens of kilometers of optical fiber, generating massive datasets whose interpretation and automated analysis remain challenging. DAS measurements often…

Instrumentation and Detectors · Physics 2026-04-09 Sergio Morell-Monzó , Dídac Diego-Tortosa , Isabel Pérez-Arjona , Víctor Espinosa

Distributed Acoustic Sensing (DAS) is a promising technology introducing a new paradigm in the acquisition of high-resolution seismic data. However, DAS data often show weak signals compared to the background noise, especially in tough…

Geophysics · Physics 2024-10-21 Omar M. Saad , Matteo Ravasi , Tariq Alkhalifah

Obtaining data on active travel activities such as walking, jogging, and cycling is important for refining sustainable transportation systems (STS). Effectively monitoring these activities not only requires sensing solutions to have a joint…

Signal Processing · Electrical Eng. & Systems 2025-06-13 Ruikang Zhong , Chia-Yen Chiang , Mona Jaber , Rupert De Wilde , Peter Hayward

Distributed acoustic sensing (DAS) is a relatively new technology for recording stress wave propagation, with promising applications in both engineering and geophysics. DAS's ability to simultaneously collect high spatial resolution data…

Geophysics · Physics 2022-10-27 Michael B. S. Yust , Brady R. Cox , Joseph P. Vantassel , Peter G. Hubbard

Fiber-optic distributed acoustic sensing (DAS) has emerged as a critical Internet-of-Things (IoT) sensing technology with broad industrial applications. However, the two-dimensional spatial-temporal morphology of DAS signals presents…

Signal Processing · Electrical Eng. & Systems 2025-11-13 Junyi Duan , Jiageng Chen , Zuyuan He

Optical fiber sensing is a technology wherein audio, vibrations, and temperature are detected using an optical fiber; especially the audio/vibrations-aware sensing is called distributed acoustic sensing (DAS). In DAS, observed data, which…

Sound · Computer Science 2023-12-19 Noriyuki Tonami , Wataru Kohno , Sakiko Mishima , Yumi Arai , Reishi Kondo , Tomoyuki Hino

Microseismic analysis is a valuable tool for fracture characterization in the earth's subsurface. As distributed acoustic sensing (DAS) fibers are deployed at depth inside wells, they hold vast potential for high-resolution microseismic…

This article presents a weakly supervised machine learning method, which we call DAS-N2N, for suppressing strong random noise in distributed acoustic sensing (DAS) recordings. DAS-N2N requires no manually produced labels (i.e.,…

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