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.
Research article
| 
22 Apr 2021
Research article |
| 22 Apr 2021
| 22 Apr 2021
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
Viewed
Total article views: 5,936 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 25 Sep 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 4,072 | 1,784 | 80 | 5,936 | 102 | 80 |
- HTML: 4,072
- PDF: 1,784
- XML: 80
- Total: 5,936
- BibTeX: 102
- EndNote: 80
Total article views: 4,499 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 22 Apr 2021)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,288 | 1,142 | 69 | 4,499 | 97 | 71 |
- HTML: 3,288
- PDF: 1,142
- XML: 69
- Total: 4,499
- BibTeX: 97
- EndNote: 71
Total article views: 1,437 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 25 Sep 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 784 | 642 | 11 | 1,437 | 5 | 9 |
- HTML: 784
- PDF: 642
- XML: 11
- Total: 1,437
- BibTeX: 5
- EndNote: 9
Viewed (geographical distribution)
Total article views: 5,936 (including HTML, PDF, and XML)
Thereof 5,522 with geography defined
and 414 with unknown origin.
Total article views: 4,499 (including HTML, PDF, and XML)
Thereof 4,319 with geography defined
and 180 with unknown origin.
Total article views: 1,437 (including HTML, PDF, and XML)
Thereof 1,203 with geography defined
and 234 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
44 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
- Array processing in cryoseismology: a comparison to network-based approaches at an Antarctic ice stream T. Hudson et al. 10.5194/tc-17-4979-2023
- From strain to displacement: using deformation to enhance distributed acoustic sensing applications A. Trabattoni et al. 10.1093/gji/ggad365
- Sediment Corrections for Distributed Acoustic Sensing A. Trabattoni et al. 10.1029/2024JB029054
- Three-dimensional deconvolution beamforming based on the variable-scale compressed computing grid M. Zan et al. 10.1016/j.measurement.2022.112211
- Quantum wavefront shaping with a 48-element programmable phase plate for electrons C. Yu et al. 10.21468/SciPostPhys.15.6.223
- 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
- Earthquake location based on Distributed Acoustic Sensing (DAS) as a seismic array K. Lentas et al. 10.1016/j.pepi.2023.107109
- 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
- Modelling uncertainty in P-wave arrival-times retrieved from DAS data: case-studies from 15 fibre optic cables E. Bozzi et al. 10.1093/gji/ggae364
- A critical review of distributed fiber optic sensing applied to geologic carbon dioxide storage T. Liu et al. 10.1002/ghg.2279
- 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
- Clustering algorithm for remote information transmission of IoT sensor nodes Q. Mei et al. 10.3233/JCM-247527
- Automatic classification with an autoencoder of seismic signals on a distributed acoustic sensing cable C. Chien et al. 10.1016/j.compgeo.2022.105223
- Sensing Optical Fibers for Earthquake Source Characterization Using Raw DAS Records C. Strumia et al. 10.1029/2023JB027860
- Integrating distributed acoustic sensing and computer vision for real-time seismic location of landslides and rockfalls along linear infrastructure T. Xie et al. 10.1007/s10346-024-02268-y
- Acoustic Source Localization System Based on Channel-Merged Fiber Optics Acoustic Sensing Array R. Hu et al. 10.1109/JLT.2024.3446852
- Three-dimensional distributed acoustic sensing at the Sanford Underground Research Facility E. Cunningham et al. 10.1190/geo2023-0079.1
- 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
- Performance of synthetic DAS as a function of array geometry T. Luckie & R. Porritt 10.26443/seismica.v3i2.1146
- 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
- Seismic monitoring of rockfalls using distributed acoustic sensing T. Xie et al. 10.1016/j.enggeo.2023.107285
- Ambient noise surface-wave imaging in a hardrock environment: implications for mineral exploration Z. Wilczynski et al. 10.1093/gji/ggae392
- Low-Frequency Blast Detection Using a Large-N Dark Fiber in Noisy Environments: Template Matching and Optimal Channel Selection M. Chamarczuk et al. 10.1785/0220230223
- Array analysis of seismo-volcanic activity with distributed acoustic sensing F. Biagioli et al. 10.1093/gji/ggad427
- Assessing the Earthquake Recording Capability of an Ocean-Bottom Distributed Acoustic Sensing Array in the Sanriku Region, Japan Y. Miao et al. 10.1785/0220240120
- 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
- Local station correlation: large N-arrays and DAS B. Kennett et al. 10.26443/seismica.v2i2.389
- Distributed Acoustic Sensing Using Dark Fiber for Array Detection of Regional Earthquakes A. Nayak & J. Ajo-Franklin 10.1785/0220200416
43 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
- Array processing in cryoseismology: a comparison to network-based approaches at an Antarctic ice stream T. Hudson et al. 10.5194/tc-17-4979-2023
- From strain to displacement: using deformation to enhance distributed acoustic sensing applications A. Trabattoni et al. 10.1093/gji/ggad365
- Sediment Corrections for Distributed Acoustic Sensing A. Trabattoni et al. 10.1029/2024JB029054
- Three-dimensional deconvolution beamforming based on the variable-scale compressed computing grid M. Zan et al. 10.1016/j.measurement.2022.112211
- Quantum wavefront shaping with a 48-element programmable phase plate for electrons C. Yu et al. 10.21468/SciPostPhys.15.6.223
- 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
- Earthquake location based on Distributed Acoustic Sensing (DAS) as a seismic array K. Lentas et al. 10.1016/j.pepi.2023.107109
- 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
- Modelling uncertainty in P-wave arrival-times retrieved from DAS data: case-studies from 15 fibre optic cables E. Bozzi et al. 10.1093/gji/ggae364
- A critical review of distributed fiber optic sensing applied to geologic carbon dioxide storage T. Liu et al. 10.1002/ghg.2279
- 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
- Clustering algorithm for remote information transmission of IoT sensor nodes Q. Mei et al. 10.3233/JCM-247527
- Automatic classification with an autoencoder of seismic signals on a distributed acoustic sensing cable C. Chien et al. 10.1016/j.compgeo.2022.105223
- Sensing Optical Fibers for Earthquake Source Characterization Using Raw DAS Records C. Strumia et al. 10.1029/2023JB027860
- Integrating distributed acoustic sensing and computer vision for real-time seismic location of landslides and rockfalls along linear infrastructure T. Xie et al. 10.1007/s10346-024-02268-y
- Acoustic Source Localization System Based on Channel-Merged Fiber Optics Acoustic Sensing Array R. Hu et al. 10.1109/JLT.2024.3446852
- Three-dimensional distributed acoustic sensing at the Sanford Underground Research Facility E. Cunningham et al. 10.1190/geo2023-0079.1
- 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
- Performance of synthetic DAS as a function of array geometry T. Luckie & R. Porritt 10.26443/seismica.v3i2.1146
- 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
- Seismic monitoring of rockfalls using distributed acoustic sensing T. Xie et al. 10.1016/j.enggeo.2023.107285
- Ambient noise surface-wave imaging in a hardrock environment: implications for mineral exploration Z. Wilczynski et al. 10.1093/gji/ggae392
- Low-Frequency Blast Detection Using a Large-N Dark Fiber in Noisy Environments: Template Matching and Optimal Channel Selection M. Chamarczuk et al. 10.1785/0220230223
- Array analysis of seismo-volcanic activity with distributed acoustic sensing F. Biagioli et al. 10.1093/gji/ggad427
- Assessing the Earthquake Recording Capability of an Ocean-Bottom Distributed Acoustic Sensing Array in the Sanriku Region, Japan Y. Miao et al. 10.1785/0220240120
- 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
- Local station correlation: large N-arrays and DAS B. Kennett et al. 10.26443/seismica.v2i2.389
1 citations as recorded by crossref.
Latest update: 27 Jan 2025
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