Articles | Volume 20, issue 12
Nat. Hazards Earth Syst. Sci., 20, 3501–3519, 2020
https://doi.org/10.5194/nhess-20-3501-2020
Nat. Hazards Earth Syst. Sci., 20, 3501–3519, 2020
https://doi.org/10.5194/nhess-20-3501-2020

Research article 17 Dec 2020

Research article | 17 Dec 2020

The potential of Smartstone probes in landslide experiments: how to read motion data

J. Bastian Dost et al.

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Cited articles

Aaron, J. and McDougall, S.: Rock avalanche mobility: The role of path material, Eng. Geol., 257, 105126, https://doi.org/10.1016/j.enggeo.2019.05.003, 2019. a
Becker, K., Gronz, O., Wirtz, S., Seeger, M., Brings, C., Iserloh, T., Casper, M. C., and Ries, J. B.: Characterization of complex pebble movement patterns in channel flow – a laboratory study, Cuadernos de Investigación Geográfica, 41, 63–85, https://doi.org/10.18172/cig.2645, 2015. a
Bosch Sensortec GmbH: BMC150: Data sheet: 6-axis eCompass, available at: https://www.bosch-sensortec.com/bst/products/all_products/bmc150 (last access: 3 March 2019), 2014. a, b
Bosch Sensortec GmbH: BMI160: Data sheet: Small, low power inertial measurement unit, available at: https://www.bosch-sensortec.com/bst/products/all_products/bmi160 (last access: 3 March 2019), 2015. a, b
Cameron, C.: A Wireless Sensor Node for Monitoring the Effects of Fluid Flow on Riverbed Sediment, Project report, University of Glasgow, Glasgow, 2012. a
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We show the potential to observe the unconfined internal-motion behaviour of single clasts in landslides using a wireless sensor measuring acceleration and rotation. The probe's dimensions are 10 mm × 55 mm. It measures up to 16 g and 2000° s−1 with a 100 Hz sampling rate. From the data, we derive transport mode, velocity, displacement and 3D trajectories of several probes. Results are verified by high-speed image analysis and laser distance measurements.
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