Articles | Volume 12, issue 4
https://doi.org/10.5194/se-12-915-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/se-12-915-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Evaluating seismic beamforming capabilities of distributed acoustic sensing arrays
Martijn P. A. van den Ende
CORRESPONDING AUTHOR
Université Côte d'Azur, IRD, CNRS, Observatoire de la Côte d'Azur, Géoazur, Valbonne, France
Jean-Paul Ampuero
Université Côte d'Azur, IRD, CNRS, Observatoire de la Côte d'Azur, Géoazur, Valbonne, France
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Cited
25 citations as recorded by crossref.
- On Beamforming of DAS Ambient Noise Recorded in an Urban Environment and Rayleigh‐To‐Love Wave Ratio Estimation Y. Zhao et al. 10.1029/2022JB026339
- Three-dimensional deconvolution beamforming based on the variable-scale compressed computing grid M. Zan et al. 10.1016/j.measurement.2022.112211
- Quantifying microseismic noise generation from coastal reflection of gravity waves recorded by seafloor DAS G. Guerin et al. 10.1093/gji/ggac200
- Spatiotemporal evaluation of Rayleigh surface wave estimated from roadside dark fiber DAS array and traffic noise R. Czarny et al. 10.26443/seismica.v2i2.247
- Distributed Acoustic Sensing for Monitoring Linear Infrastructures: Current Status and Trends H. Zhu et al. 10.3390/s22197550
- Deep Deconvolution for Traffic Analysis With Distributed Acoustic Sensing Data M. van den Ende et al. 10.1109/TITS.2022.3223084
- Underground Vibration-Print Extraction and Spatial Attenuation Law Study of Ground-Borne Source Sensed by DAS Y. Wang et al. 10.1109/JSEN.2022.3151156
- Wavefield-based evaluation of DAS instrument response and array design J. Muir & Z. Zhan 10.1093/gji/ggab439
- Distributed Acoustic Sensing: A New Tool or a New Paradigm K. Kislov & V. Gravirov 10.3103/S0747923922050085
- A Self-Supervised Deep Learning Approach for Blind Denoising and Waveform Coherence Enhancement in Distributed Acoustic Sensing Data M. van den Ende et al. 10.1109/TNNLS.2021.3132832
- Near-field target localisation based on the distributed acoustic sensing optical fibre in shallow water W. Cao et al. 10.1016/j.yofte.2022.103198
- Automatic classification with an autoencoder of seismic signals on a distributed acoustic sensing cable C. Chien et al. 10.1016/j.compgeo.2022.105223
- Comparisons Between Array Derived Dynamic Strain Rate (ADDS) and Fiber‐Optic Distributed Acoustic Sensing (DAS) Strain Rate G. Ichinose et al. 10.1029/2022JB025101
- Strain to ground motion conversion of distributed acoustic sensing data for earthquake magnitude and stress drop determination I. Lior et al. 10.5194/se-12-1421-2021
- Seismic Noise Interferometry and Distributed Acoustic Sensing (DAS): Inverting for the Firn Layer S‐Velocity Structure on Rutford Ice Stream, Antarctica W. Zhou et al. 10.1029/2022JF006917
- Advanced Signal Processing in Distributed Acoustic Sensors Based on Submarine Cables for Seismology Applications S. Chen et al. 10.1109/JLT.2023.3273268
- Characterizing Microearthquakes Induced by Hydraulic Fracturing With Hybrid Borehole DAS and Three-Component Geophone Data Z. Zhang et al. 10.1109/TGRS.2023.3264931
- Seismic Monitoring With Distributed Acoustic Sensing From the Near-Surface to the Deep Oceans M. Fernandez-Ruiz et al. 10.1109/JLT.2021.3128138
- Magnitude estimation and ground motion prediction to harness fiber optic distributed acoustic sensing for earthquake early warning I. Lior et al. 10.1038/s41598-023-27444-3
- Subsurface Imaging With Ocean‐Bottom Distributed Acoustic Sensing and Water Phases Reverberations Z. Spica et al. 10.1029/2021GL095287
- Array Signal Processing on Distributed Acoustic Sensing Data: Directivity Effects in Slowness Space S. Näsholm et al. 10.1029/2021JB023587
- Distributed acoustic sensing as a tool for subsurface mapping and seismic event monitoring: a proof of concept N. Piana Agostinetti et al. 10.5194/se-13-449-2022
- The seismic wavefield as seen by distributed acoustic sensing arrays: local, regional and teleseismic sources B. Kennett 10.1098/rspa.2021.0812
- Enhancing fibre-optic distributed acoustic sensing capabilities with blind near-field array signal processing F. Muñoz & M. Soto 10.1038/s41467-022-31681-x
- Distributed Acoustic Sensing Using Dark Fiber for Array Detection of Regional Earthquakes A. Nayak & J. Ajo-Franklin 10.1785/0220200416
24 citations as recorded by crossref.
- On Beamforming of DAS Ambient Noise Recorded in an Urban Environment and Rayleigh‐To‐Love Wave Ratio Estimation Y. Zhao et al. 10.1029/2022JB026339
- Three-dimensional deconvolution beamforming based on the variable-scale compressed computing grid M. Zan et al. 10.1016/j.measurement.2022.112211
- Quantifying microseismic noise generation from coastal reflection of gravity waves recorded by seafloor DAS G. Guerin et al. 10.1093/gji/ggac200
- Spatiotemporal evaluation of Rayleigh surface wave estimated from roadside dark fiber DAS array and traffic noise R. Czarny et al. 10.26443/seismica.v2i2.247
- Distributed Acoustic Sensing for Monitoring Linear Infrastructures: Current Status and Trends H. Zhu et al. 10.3390/s22197550
- Deep Deconvolution for Traffic Analysis With Distributed Acoustic Sensing Data M. van den Ende et al. 10.1109/TITS.2022.3223084
- Underground Vibration-Print Extraction and Spatial Attenuation Law Study of Ground-Borne Source Sensed by DAS Y. Wang et al. 10.1109/JSEN.2022.3151156
- Wavefield-based evaluation of DAS instrument response and array design J. Muir & Z. Zhan 10.1093/gji/ggab439
- Distributed Acoustic Sensing: A New Tool or a New Paradigm K. Kislov & V. Gravirov 10.3103/S0747923922050085
- A Self-Supervised Deep Learning Approach for Blind Denoising and Waveform Coherence Enhancement in Distributed Acoustic Sensing Data M. van den Ende et al. 10.1109/TNNLS.2021.3132832
- Near-field target localisation based on the distributed acoustic sensing optical fibre in shallow water W. Cao et al. 10.1016/j.yofte.2022.103198
- Automatic classification with an autoencoder of seismic signals on a distributed acoustic sensing cable C. Chien et al. 10.1016/j.compgeo.2022.105223
- Comparisons Between Array Derived Dynamic Strain Rate (ADDS) and Fiber‐Optic Distributed Acoustic Sensing (DAS) Strain Rate G. Ichinose et al. 10.1029/2022JB025101
- Strain to ground motion conversion of distributed acoustic sensing data for earthquake magnitude and stress drop determination I. Lior et al. 10.5194/se-12-1421-2021
- Seismic Noise Interferometry and Distributed Acoustic Sensing (DAS): Inverting for the Firn Layer S‐Velocity Structure on Rutford Ice Stream, Antarctica W. Zhou et al. 10.1029/2022JF006917
- Advanced Signal Processing in Distributed Acoustic Sensors Based on Submarine Cables for Seismology Applications S. Chen et al. 10.1109/JLT.2023.3273268
- Characterizing Microearthquakes Induced by Hydraulic Fracturing With Hybrid Borehole DAS and Three-Component Geophone Data Z. Zhang et al. 10.1109/TGRS.2023.3264931
- Seismic Monitoring With Distributed Acoustic Sensing From the Near-Surface to the Deep Oceans M. Fernandez-Ruiz et al. 10.1109/JLT.2021.3128138
- Magnitude estimation and ground motion prediction to harness fiber optic distributed acoustic sensing for earthquake early warning I. Lior et al. 10.1038/s41598-023-27444-3
- Subsurface Imaging With Ocean‐Bottom Distributed Acoustic Sensing and Water Phases Reverberations Z. Spica et al. 10.1029/2021GL095287
- Array Signal Processing on Distributed Acoustic Sensing Data: Directivity Effects in Slowness Space S. Näsholm et al. 10.1029/2021JB023587
- Distributed acoustic sensing as a tool for subsurface mapping and seismic event monitoring: a proof of concept N. Piana Agostinetti et al. 10.5194/se-13-449-2022
- The seismic wavefield as seen by distributed acoustic sensing arrays: local, regional and teleseismic sources B. Kennett 10.1098/rspa.2021.0812
- Enhancing fibre-optic distributed acoustic sensing capabilities with blind near-field array signal processing F. Muñoz & M. Soto 10.1038/s41467-022-31681-x
1 citations as recorded by crossref.
Latest update: 03 Oct 2023
Short summary
Distributed acoustic sensing (DAS) is an emerging technology that measures stretching of an optical-fibre cable. This technology can be used to record the ground shaking of earthquakes, which offers a cost-efficient alternative to conventional seismometers. Since DAS is relatively new, we need to verify that existing seismological methods can be applied to this new data type. In this study, we reveal several issues by comparing DAS with conventional seismometer data for earthquake localisation.
Distributed acoustic sensing (DAS) is an emerging technology that measures stretching of an...
Special issue