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Geoscience leverages IoT Sensor Nodes

LoRaWAN and related technologies enable monitoring movements of snow and debris in remote areas. We consult our customers in applying our sensors and according network infrastructure for meaningful research and early warning systems.

Application

Seismic Monitoring Tag

Remotely monitor debris flow and seismic activity

Features
With our seismic detectors you are able to detect slightest motions of debris or snow
  • Versatile seismic monitoring device with long battery life
  • Built-in accelerometer and gyroscope to record raw or pre-processed data
  • Various mounting options, for rock-, wood- or soil-based installations
  • Full-stack solution available, including device, LoRaWAN connectivity and management platform
  • Capable of logging ~100.000 measurements, in case no LoRaWAN network is available at the location of interest
  • Supported by Wonderland, our versatile monitoring platform
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LoRaWAN Sensor for remote monitoring of inclination and seismic activity

Please don't hesitate to contact us for further information.

LoRaWAN Inclinometer

Remoely monitor land movements and seismic activity

Features
Inclinometer for monitoring soil movement and debris flow
  • Calibrated inclination monitoring device device
  • Various mounting options, for rock-, wood- or soil-based installations
  • Full-stack solution available, including device, LoRaWAN connectivity and management platform
  • GPS receiver, to pinpoint measurement data
  • Large deployments possible with minimal planning & maintenance effort
  • Capable of logging ~100.000 measurements, in case no LoRaWAN network is available at the location of interest
  • Rugged plant & play device in IP67 housing
  • Supported by Wonderland, our versatile monitoring platform
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LoRaWAN Sensor for remote monitoring of inclination and seismic activity

Please don't hesitate to contact us for further information.

Scientific Literature

Development of smart boulders to monitor mass movements via the Internet of Things: a pilot study in Nepal

Benedetta Dini, Georgina L Bennett, Aldina Franco, Michael RZ Whitworth, Kristen L Cook, Andreas Senn, John M Reynolds

Monitoring boulder movement using the Internet of Things: Towards a landslide early warning system

Benedetta Dini, Georgina Bennett, Aldina Franco, Michael RZ Whitworth, Andreas Senn, Kristen Cook

Review esurf-2020-78

Benedetta Dini, Georgina L Bennett, Aldina MA Franco, Michael RZ Whitworth, Kristen L Cook, Andreas Senn

Field support

We have hands-on experience with monitoring projects and support our partners in deploying devices and gateways in the field.

Find out more
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Related News and Developments

January 17th 2023 PhD Programme with the University of Exeter

Are you interested in landslides and innovative sensor technologies?

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