Next Article in Journal
Temporal Changes in Air Quality According to Land-Use Using Real Time Big Data from Smart Sensors in Korea
Previous Article in Journal
Efficient Communication Scheme for Bluetooth Low Energy in Large Scale Applications
Previous Article in Special Issue
Finding Possible Weakness in the Runoff Simulation Experiments to Assess Rill Erosion Changes without Non-Intermittent Surveying Capabilities
Open AccessArticle

mGEODAR—A Mobile Radar System for Detection and Monitoring of Gravitational Mass-Movements

1
Department of Natural Hazards, Austrian Research Centre for Forests (BFW), 6020 Innsbruck, Austria
2
WSL-Institute for Snow and Avalanche Research SLF, 7260 Davos Dorf, Switzerland
3
Department of Engineering, Lancaster University, Lancaster LA1 4YW, UK
4
Department of Mechatronic, Management Centre Innsbruck (MCI), 6020 Innsbruck, Austria
5
Department of Electronic and Electrical Engineering, University College London, London WC1E 6BT, UK
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(21), 6373; https://doi.org/10.3390/s20216373
Received: 29 September 2020 / Revised: 30 October 2020 / Accepted: 3 November 2020 / Published: 9 November 2020
(This article belongs to the Special Issue Remote Sensor Based Geoscience Applications)
Radar measurements of gravitational mass-movements like snow avalanches have become increasingly important for scientific flow observations, real-time detection and monitoring. Independence of visibility is a main advantage for rapid and reliable detection of those events, and achievable high-resolution imaging proves invaluable for scientific measurements of the complete flow evolution. Existing radar systems are made for either detection with low-resolution or they are large devices and permanently installed at test-sites. We present mGEODAR, a mobile FMCW (frequency modulated continuous wave) radar system for high-resolution measurements and low-resolution gravitational mass-movement detection and monitoring purposes due to a versatile frequency generation scheme. We optimize the performance of different frequency settings with loop cable measurements and show the freespace range sensitivity with data of a car as moving point source. About 15 dB signal-to-noise ratio is achieved for the cable test and about 5 dB or 10 dB for the car in detection and research mode, respectively. By combining continuous recording in the low resolution detection mode with real-time triggering of the high resolution research mode, we expect that mGEODAR enables autonomous measurement campaigns for infrastructure safety and mass-movement research purposes in rapid response to changing weather and snow conditions. View Full-Text
Keywords: FMCW Radar; natural hazards; geophysical mass-movements; flow dynamics; movement detection FMCW Radar; natural hazards; geophysical mass-movements; flow dynamics; movement detection
Show Figures

Figure 1

MDPI and ACS Style

Köhler, A.; Lok, L.B.; Felbermayr, S.; Peters, N.; Brennan, P.V.; Fischer, J.-T. mGEODAR—A Mobile Radar System for Detection and Monitoring of Gravitational Mass-Movements. Sensors 2020, 20, 6373. https://doi.org/10.3390/s20216373

AMA Style

Köhler A, Lok LB, Felbermayr S, Peters N, Brennan PV, Fischer J-T. mGEODAR—A Mobile Radar System for Detection and Monitoring of Gravitational Mass-Movements. Sensors. 2020; 20(21):6373. https://doi.org/10.3390/s20216373

Chicago/Turabian Style

Köhler, Anselm; Lok, Lai B.; Felbermayr, Simon; Peters, Nial; Brennan, Paul V.; Fischer, Jan-Thomas. 2020. "mGEODAR—A Mobile Radar System for Detection and Monitoring of Gravitational Mass-Movements" Sensors 20, no. 21: 6373. https://doi.org/10.3390/s20216373

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop