Deep learning-based early warning of tailings storage facility instability using Sentinel-1 and Radarsat-2 InSAR calibrated with a geomechanical model.

Bayaraa M, Sheil B, Rossi C

Open source

DOI
10.1038/s41598-026-51005-z
Published
2026 Jul 20
Container
Scientific reports
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1038/s41598-026-51005-z,
  title = {Deep learning-based early warning of tailings storage facility instability using Sentinel-1 and Radarsat-2 InSAR calibrated with a geomechanical model.},
  author = {Bayaraa M and Sheil B and Rossi C},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-51005-z},
  url = {https://doi.org/10.1038/s41598-026-51005-z}
}

RIS

TY  - JOUR
TI  - Deep learning-based early warning of tailings storage facility instability using Sentinel-1 and Radarsat-2 InSAR calibrated with a geomechanical model.
AU  - Bayaraa M
AU  - Sheil B
AU  - Rossi C
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-51005-z
UR  - https://doi.org/10.1038/s41598-026-51005-z
ER  -

APA

M, B., B, S., & C, R. (2026). Deep learning-based early warning of tailings storage facility instability using Sentinel-1 and Radarsat-2 InSAR calibrated with a geomechanical model.. Scientific reports. https://doi.org/10.1038/s41598-026-51005-z

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