67 citations as recorded by crossref.

1. Array processing in cryoseismology: a comparison to network-based approaches at an Antarctic ice stream T. Hudson et al.
2. From strain to displacement: using deformation to enhance distributed acoustic sensing applications A. Trabattoni et al.
3. Quantum wavefront shaping with a 48-element programmable phase plate for electrons C. Yu et al.
4. Distributed Acoustic Sensing for Monitoring Linear Infrastructures: Current Status and Trends H. Zhu et al.
5. Underground Vibration-Print Extraction and Spatial Attenuation Law Study of Ground-Borne Source Sensed by DAS Y. Wang et al.
6. Wavefield-based evaluation of DAS instrument response and array design J. Muir & Z. Zhan
7. Unraveling pyroclastic density current dynamics with multiparameter geophysical sensing F. Biagioli et al.
8. Modelling uncertainty in P-wave arrival-times retrieved from DAS data: case-studies from 15 fibre optic cables E. Bozzi et al.
9. Clustering algorithm for remote information transmission of IoT sensor nodes Q. Mei et al.
10. A three-dimensional distributed acoustic sensing array to monitor local seismicity J. Azzola & E. Gaucher
11. Fiber-imaged supershear dynamics in the 2024 M w 7 Mendocino Fault earthquake J. Atterholt et al.
12. Sensing Optical Fibers for Earthquake Source Characterization Using Raw DAS Records C. Strumia et al.
13. Earthquake Source Parameter Estimation Using Distributed Acoustic Sensing and Frequency Wavenumber Scaling I. Lior
14. Automatic Identification of High-Quality Channels in Distributed Acoustic Sensing Through Implementation of a Channel Quality Index T. Rodriguez et al.
15. Wavelet-Based P-Wave Detection in High-Rate GNSS Data: A Novel Approach for Rapid Earthquake Monitoring in Tsunamigenic Settings A. Sudrajat et al.
16. Near‐Field Acoustic Imaging Using Fiber‐Optic Distributed Acoustic Sensing and Beamforming Techniques M. Soto & D. Badillo‐San‐Juan
17. Three-dimensional distributed acoustic sensing at the Sanford Underground Research Facility E. Cunningham et al.
18. Strain to ground motion conversion of distributed acoustic sensing data for earthquake magnitude and stress drop determination I. Lior et al.
19. Automated Weighting Schemes for DAS Data in Geophysical Inversion: A Case Study on Event Location E. Bozzi et al.
20. Characterizing Microearthquakes Induced by Hydraulic Fracturing With Hybrid Borehole DAS and Three-Component Geophone Data Z. Zhang et al.
21. Seismic Monitoring With Distributed Acoustic Sensing From the Near-Surface to the Deep Oceans M. Fernandez-Ruiz et al.
22. Performance of synthetic DAS as a function of array geometry T. Luckie & R. Porritt
23. Physics-based earthquake early warning using distributed acoustic sensing S. Ben-Zeev & I. Lior
24. Precision Traffic Monitoring: Leveraging Distributed Acoustic Sensing and Deep Neural Networks Y. Khacef et al.
25. Low-Frequency Blast Detection Using a Large-N Dark Fiber in Noisy Environments: Template Matching and Optimal Channel Selection M. Chamarczuk et al.
26. Using fibre-optic sensing for non-invasive, continuous dendrometry of mature tree trunks M. van den Ende et al.
27. Assessing the Earthquake Recording Capability of an Ocean-Bottom Distributed Acoustic Sensing Array in the Sanriku Region, Japan Y. Miao et al.
28. Urban sensing using existing fiber-optic networks J. Liu et al.
29. Subsurface Imaging With Ocean‐Bottom Distributed Acoustic Sensing and Water Phases Reverberations Z. Spica et al.
30. Evaluation of Distributed Acoustic Sensing Phase Pick Quality and Performance for Operational Earthquake Monitoring G. Tepp et al.
31. The seismic wavefield as seen by distributed acoustic sensing arrays: local, regional and teleseismic sources B. Kennett
32. Enhancing fibre-optic distributed acoustic sensing capabilities with blind near-field array signal processing F. Muñoz & M. Soto
33. Local station correlation: large N-arrays and DAS B. Kennett et al.
34. On Beamforming of DAS Ambient Noise Recorded in an Urban Environment and Rayleigh‐To‐Love Wave Ratio Estimation Y. Zhao et al.
35. Sediment Corrections for Distributed Acoustic Sensing A. Trabattoni et al.
36. Three-dimensional deconvolution beamforming based on the variable-scale compressed computing grid M. Zan et al.
37. Quantifying microseismic noise generation from coastal reflection of gravity waves recorded by seafloor DAS G. Guerin et al.
38. Spatiotemporal evaluation of Rayleigh surface wave estimated from roadside dark fiber DAS array and traffic noise R. Czarny et al.
39. Assessing the applicability of distributed acoustic sensing in rupture imaging: a case study with the 2022 Michoacán earthquake Y. Miao et al.
40. Research Advances on Distributed Acoustic Sensing Technology for Seismology A. Rashid et al.
41. Deep Deconvolution for Traffic Analysis With Distributed Acoustic Sensing Data M. van den Ende et al.
42. Earthquake location based on Distributed Acoustic Sensing (DAS) as a seismic array K. Lentas et al.
43. surfQuake: A New Python Toolbox for the Workflow Process of Seismic Sources R. Cabieces et al.
44. Intelligent submarine environmental monitoring based on fiber-optic integrated sensing and communication system X. Cao et al.
45. Distributed Acoustic Sensing: A New Tool or a New Paradigm K. Kislov & V. Gravirov
46. A novel deep-learning model to convert DAS strain to geophone particle velocity: application to PoroTomo data from the Brady geothermal field B. Al-Qadasi et al.
47. A critical review of distributed fiber optic sensing applied to geologic carbon dioxide storage T. Liu et al.
48. A Self-Supervised Deep Learning Approach for Blind Denoising and Waveform Coherence Enhancement in Distributed Acoustic Sensing Data M. van den Ende et al.
49. Near-field target localisation based on the distributed acoustic sensing optical fibre in shallow water W. Cao et al.
50. Seafloor fibre optical cable repositioning using target motion analysis on distributed acoustic sensing of underwater acoustic noise D. Rivet et al.
51. Automatic classification with an autoencoder of seismic signals on a distributed acoustic sensing cable C. Chien et al.
52. Integrating distributed acoustic sensing and computer vision for real-time seismic location of landslides and rockfalls along linear infrastructure T. Xie et al.
53. Performance of untrenched surface-DAS in near-surface seismic exploration: a comparison with conventional sensors Z. Wilczynski et al.
54. Acoustic Source Localization System Based on Channel-Merged Fiber Optics Acoustic Sensing Array R. Hu et al.
55. First DAS observations from the GeoLab fibre in Madeira, Portugal A. Loureiro et al.
56. Comparisons Between Array Derived Dynamic Strain Rate (ADDS) and Fiber‐Optic Distributed Acoustic Sensing (DAS) Strain Rate G. Ichinose et al.
57. Superlet-enhanced distributed acoustic sensing for real-time traffic volume monitoring and vehicle classification Q. Sun et al.
58. 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.
59. Advanced Signal Processing in Distributed Acoustic Sensors Based on Submarine Cables for Seismology Applications S. Chen et al.
60. Magnitude estimation and ground motion prediction to harness fiber optic distributed acoustic sensing for earthquake early warning I. Lior et al.
61. Seismic monitoring of rockfalls using distributed acoustic sensing T. Xie et al.
62. Ambient noise surface-wave imaging in a hardrock environment: implications for mineral exploration Z. Wilczynski et al.
63. Earthquake Location with Distributed Acoustic Sensing Subarray Beamforming with Implications for Earthquake Early Warning S. Ben-Zeev & I. Lior
64. Array analysis of seismo-volcanic activity with distributed acoustic sensing F. Biagioli et al.
65. Array Signal Processing on Distributed Acoustic Sensing Data: Directivity Effects in Slowness Space S. Näsholm et al.
66. Distributed acoustic sensing as a tool for subsurface mapping and seismic event monitoring: a proof of concept N. Piana Agostinetti et al.
67. Urban Monitoring Using Preexisting Telecommunication Fiber-Optic Networks for Distributed Acoustic Sensing: A Review J. Liu et al.