Articles | Volume 6, issue 4
https://doi.org/10.5194/esurf-6-1219-2018
© Author(s) 2018. 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/esurf-6-1219-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Short communication
| 
11 Dec 2018
Short communication |
| 11 Dec 2018
| 11 Dec 2018
Short Communication: Monitoring rockfalls with the Raspberry Shake
Andrea Manconi
CORRESPONDING AUTHOR
Dept. of Earth Sciences, Swiss Federal Institute of Technology,
Zurich, 8092, Switzerland
Velio Coviello
Facoltà di Scienze e Tecnologie,
Free University of Bozen-Bolzano, Bolzano, Italy
Maud Galletti
Dept. of Earth Sciences, Swiss Federal Institute of Technology,
Zurich, 8092, Switzerland
Reto Seifert
Dept. of Earth Sciences, Swiss Federal Institute of Technology,
Zurich, 8092, Switzerland
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Cited
24 citations as recorded by crossref.
- Local earthquake monitoring with a low-cost seismic network: a case study in Nepal S. Subedi et al. https://doi.org/10.1186/s40623-024-02047-y
- Micromachined Piezoresistive-sensed Diaphragms for Infrasonic Monitoring Y. Seo et al. https://doi.org/10.1109/JSEN.2020.3014567
- Current glacier recession causes significant rockfall increase: the immediate paraglacial response of deglaciating cirque walls I. Hartmeyer et al. https://doi.org/10.5194/esurf-8-729-2020
- A review of field monitoring methods for bedrock frost weathering in cold alpine regions L. Wang et al. https://doi.org/10.1016/j.coldregions.2026.104878
- Assessing Raspberry Shake and Boom Sensors for Recording African Elephant Acoustic Vocalizations O. Lamb et al. https://doi.org/10.3389/fcosc.2020.630967
- Structural Health Monitoring of Dams Based on Acoustic Monitoring, Deep Neural Networks, Fuzzy Logic and a CUSUM Control Algorithm L. Ozelim et al. https://doi.org/10.3390/s22072482
- Raspberry infrasound and seismic sensors: a new perspective for volcano research and monitoring—the case of Yasur H. Reiller et al. https://doi.org/10.1007/s00445-026-01940-6
- Monitoring Icequakes in East Antarctica with the Raspberry Shake K. Winter et al. https://doi.org/10.1785/0220200483
- Seismic Advances in Process Geomorphology K. Cook & M. Dietze https://doi.org/10.1146/annurev-earth-032320-085133
- Review of Landslide Monitoring Techniques With IoT Integration Opportunities H. Thirugnanam et al. https://doi.org/10.1109/JSTARS.2022.3183684
- Monitoring of Local Earthquakes in Haiti Using Low-Cost, Citizen-Hosted Seismometers and Regional Broadband Stations S. Paul et al. https://doi.org/10.1785/0220230059
- A Community Seismic Network for the Early Detection of Seismic Activity Close to Active Volcanoes in Western El Salvador T. Goebel et al. https://doi.org/10.1785/0220240343
- A New Decade in Seismoacoustics (2010–2022) F. Dannemann Dugick et al. https://doi.org/10.1785/0120220157
- Detection and forecasting of shallow landslides: lessons from a natural laboratory R. Bainbridge et al. https://doi.org/10.1080/19475705.2022.2041108
- Rock Slope Temperature Evolution and Micrometer‐Scale Deformation at a Retreating Glacier Margin M. Hugentobler et al. https://doi.org/10.1029/2021JF006195
- Study of debris-flow initiation through the analysis of seismic signals E. Ioriatti et al. https://doi.org/10.1051/e3sconf/202341503014
- Lab and Field Tests of a Low‐Cost 3‐Component Seismometer for Shallow Passive Seismic Applications D. Arosio et al. https://doi.org/10.1029/2023EA002934
- Noise-resistant automatic seismic framework for monitoring rockslide slope C. Chu et al. https://doi.org/10.1016/j.enggeo.2026.108574
- Geophysical Survey and Monitoring of Transportation Infrastructure Slopes (TISs): A Review Z. Maleki et al. https://doi.org/10.3390/geosciences15060220
- A Seismic Approach to Flood Detection and Characterization in Upland Catchments M. Dietze et al. https://doi.org/10.1029/2022GL100170
- Structural health monitoring of South America's first 6-Story experimental light-frame timber-building by using a low-cost RaspberryShake seismic instrumentation M. Alarcón et al. https://doi.org/10.1016/j.engstruct.2022.115278
- Citizen Seismology in the Arctic Z. Jeddi et al. https://doi.org/10.3389/feart.2020.00139
- Follow the Trace: Becoming a Seismo-Detective with a Campus-Based Raspberry Shake Seismometer E. Löberich & M. Long https://doi.org/10.1785/0220230365
- Infrasound Observations at Bahía de Banderas, Western Mexico J. López Ortiz et al. https://doi.org/10.1785/0120220222
24 citations as recorded by crossref.
- Local earthquake monitoring with a low-cost seismic network: a case study in Nepal S. Subedi et al. https://doi.org/10.1186/s40623-024-02047-y
- Micromachined Piezoresistive-sensed Diaphragms for Infrasonic Monitoring Y. Seo et al. https://doi.org/10.1109/JSEN.2020.3014567
- Current glacier recession causes significant rockfall increase: the immediate paraglacial response of deglaciating cirque walls I. Hartmeyer et al. https://doi.org/10.5194/esurf-8-729-2020
- A review of field monitoring methods for bedrock frost weathering in cold alpine regions L. Wang et al. https://doi.org/10.1016/j.coldregions.2026.104878
- Assessing Raspberry Shake and Boom Sensors for Recording African Elephant Acoustic Vocalizations O. Lamb et al. https://doi.org/10.3389/fcosc.2020.630967
- Structural Health Monitoring of Dams Based on Acoustic Monitoring, Deep Neural Networks, Fuzzy Logic and a CUSUM Control Algorithm L. Ozelim et al. https://doi.org/10.3390/s22072482
- Raspberry infrasound and seismic sensors: a new perspective for volcano research and monitoring—the case of Yasur H. Reiller et al. https://doi.org/10.1007/s00445-026-01940-6
- Monitoring Icequakes in East Antarctica with the Raspberry Shake K. Winter et al. https://doi.org/10.1785/0220200483
- Seismic Advances in Process Geomorphology K. Cook & M. Dietze https://doi.org/10.1146/annurev-earth-032320-085133
- Review of Landslide Monitoring Techniques With IoT Integration Opportunities H. Thirugnanam et al. https://doi.org/10.1109/JSTARS.2022.3183684
- Monitoring of Local Earthquakes in Haiti Using Low-Cost, Citizen-Hosted Seismometers and Regional Broadband Stations S. Paul et al. https://doi.org/10.1785/0220230059
- A Community Seismic Network for the Early Detection of Seismic Activity Close to Active Volcanoes in Western El Salvador T. Goebel et al. https://doi.org/10.1785/0220240343
- A New Decade in Seismoacoustics (2010–2022) F. Dannemann Dugick et al. https://doi.org/10.1785/0120220157
- Detection and forecasting of shallow landslides: lessons from a natural laboratory R. Bainbridge et al. https://doi.org/10.1080/19475705.2022.2041108
- Rock Slope Temperature Evolution and Micrometer‐Scale Deformation at a Retreating Glacier Margin M. Hugentobler et al. https://doi.org/10.1029/2021JF006195
- Study of debris-flow initiation through the analysis of seismic signals E. Ioriatti et al. https://doi.org/10.1051/e3sconf/202341503014
- Lab and Field Tests of a Low‐Cost 3‐Component Seismometer for Shallow Passive Seismic Applications D. Arosio et al. https://doi.org/10.1029/2023EA002934
- Noise-resistant automatic seismic framework for monitoring rockslide slope C. Chu et al. https://doi.org/10.1016/j.enggeo.2026.108574
- Geophysical Survey and Monitoring of Transportation Infrastructure Slopes (TISs): A Review Z. Maleki et al. https://doi.org/10.3390/geosciences15060220
- A Seismic Approach to Flood Detection and Characterization in Upland Catchments M. Dietze et al. https://doi.org/10.1029/2022GL100170
- Structural health monitoring of South America's first 6-Story experimental light-frame timber-building by using a low-cost RaspberryShake seismic instrumentation M. Alarcón et al. https://doi.org/10.1016/j.engstruct.2022.115278
- Citizen Seismology in the Arctic Z. Jeddi et al. https://doi.org/10.3389/feart.2020.00139
- Follow the Trace: Becoming a Seismo-Detective with a Campus-Based Raspberry Shake Seismometer E. Löberich & M. Long https://doi.org/10.1785/0220230365
- Infrasound Observations at Bahía de Banderas, Western Mexico J. López Ortiz et al. https://doi.org/10.1785/0120220222
Saved (final revised paper)
Latest update: 15 Jun 2026
Short summary
We evaluated the performance of the low-cost seismic Raspberry Shake (RS) sensors to identify and monitor rockfall activity in alpine environments. The sensors have been tested for a 1-year period in a high alpine environment, recording numerous rock failure events as well as local and distant earthquakes. This study demonstrates that the RS instruments provide a good option to build low seismic monitoring networks to monitor different kinds of geophysical phenomena.
We evaluated the performance of the low-cost seismic Raspberry Shake (RS) sensors to identify...
Special issue