@article{fdi:010081381,
  title = {{E}valuating seismic beamforming capabilities of distributed acoustic sensing arrays},
  author = {van den {E}nde, {M}. {P}. {A}. and {A}mpuero, {J}ean-{P}aul},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he versatility and cost efficiency of fibre-optic distributed acoustic sensing ({DAS}) technologies facilitate geophysical monitoring in environments that were previously inaccessible for instrumentation. {M}oreover, the spatiotemporal data density permitted by {DAS} naturally appeals to seismic array processing techniques, such as beamforming for source location. {H}owever, the measurement principle of {DAS} is inherently different from that of conventional seismometers, providing measurements of ground strain rather than ground motion, and so the suitability of traditional seismological methods requires in-depth evaluation. {I}n this study, we evaluate the performance of a {DAS} array in the task of seismic beamforming, in comparison with a co-located nodal seismometer array. {W}e find that, even though the nodal array achieves excellent performance in localising a regional {M}-{L} 4.3 earthquake, the {DAS} array exhibits poor waveform coherence and consequently produces inadequate beamforming results that are dominated by the signatures of shallow scattered waves. {W}e demonstrate that this behaviour is likely inherent to the {DAS} measurement principle, and so new strategies need to be adopted to tailor array processing techniques to this emerging measurement technology. {O}ne strategy demonstrated here is to convert the {DAS} strain rates to particle velocities by spatial integration using the nodal seismometer recordings as a reference, which dramatically improves waveform coherence and beamforming performance and warrants new types of "hybrid" array design that combine dense {DAS} arrays with sparse seismometer arrays.},
  keywords = {{ETATS} {UNIS} ; {NEVADA}},
  booktitle = {},
  journal = {{S}olid {E}arth},
  volume = {12},
  numero = {4},
  pages = {915--934},
  ISSN = {1869-9510},
  year = {2021},
  DOI = {10.5194/se-12-915-2021},
  URL = {https://www.documentation.ird.fr/hor/fdi:010081381},
}