Skip to main content

Advertisement

Log in

Practical evaluation of single-frequency dGNSS for monitoring slow-moving landslides

  • Technical Note
  • Published:
Landslides Aims and scope Submit manuscript

Abstract

Understanding the kinematics and triggers of a landslide is central to assessing the risk of a landslide. This understanding can be achieved through a robust instrumentation plan that addresses key factors such as meteorological conditions, groundwater conditions, and deformation trends and velocity. High-frequency landslide displacement measurements at multiple locations across a sliding mass allow for the evaluation of the impact of meteorological events in the short and long terms. Installation of a monitoring system that provides reliable and accurate high-frequency displacement data from multiple locations can be expensive, and thus, this approach is not commonly used. Single-frequency differential GNSS (dGNSS) provides a relatively low-cost alternative to achieve long-term monitoring goals at multiple locations within a landslide. Networks of single-frequency Geocube™ dGNSS units were installed at test sites at two slow-moving Canadian landslides: the Ten-mile landslide near Lillooet, BC, and the Chin Coulee landslide near Taber, AB. The Geocube system monitored surficial deformation every 60 s for the duration of the monitoring program (> 500 day) and achieved a precision in direct measurements characterized by a standard deviation of 10.5 mm or less. The quality of the collected data was compared to data provided by a high-end multi-frequency GMX 910 Leica GPS, installed at the Ripley landslide near Ashcroft, BC. The data collected from the Geocube systems revealed that displacement orientations and rates varied within each of the sliding masses. The application of multiple monitoring points provided a relatively low-cost method to evaluate the shape of the sliding shear surface and the causal factors driving movement at each site. A practical evaluation of cost-effective dGNSS systems that provide reliable information as required for enhanced understanding of landslide kinematics and the development of early warning systems is presented in this paper.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

References

  • Amec Foster Wheeler (Amec FW) (2015) Southern region geohazard assessment 2015 annual inspection report site S5: Highway 36:02, Chin Coulee. Calgary, Alberta

  • Benoit L, Briole P, Martin O, Thom C, Malet JP, Ulrich P (2015a) Monitoring landslide displacements with the Geocube wireless network of low-cost GPS. Eng Geol 195:111–121

    Article  Google Scholar 

  • Benoit L, Dehecq A, Thai Pham H, Vernier F, Trouvé E, Moreau L, Martin O, Thom C, Pierrot-Deseilligny M, Briole P (2015b) Multi-method monitoring of Glacier d’Argentière dynamics. Ann Glaciol 56:118–128. https://doi.org/10.3189/2015AoG70A985

    Article  Google Scholar 

  • Benoit L, Briole P, Martin O, Thom C (2014) Real-time deformation monitoring by a wireless network of low-cost GPS. J Appl Geod 8:119–128. https://doi.org/10.1515/jag-2013-0023

    Article  Google Scholar 

  • Brown N, Troyer L, Zelzer O, van Cranenbroek J (2006) Advances in RTK and post processed monitoring with single frequency GPS. J Glob Position Syst 5(1–2):145–151

    Article  Google Scholar 

  • BGC Engineering Inc. (BGC) (2016) Ten mile slide 2016 site investigation data report. Victoria, British Columbia

  • Bovis MJ (1985) Earthflows in the Interior Plateau, southwest British Columbia. Can Geotech J 22:313–334

    Article  Google Scholar 

  • Campen M (2010) The fisheries potential of a new prairie reservoir: a management perspective. Thesis, University of Lethbridge, M.Sc

    Google Scholar 

  • Cruden D, VanDine DF (2013) Classification, description, causes and indirect effects - Canadian technical guidelines and best practices related to landslides: a national initiative for loss reduction. Geological Survey of Canada, Open File 7359, 22 https://doi.org/10.4095/292505

  • Cruden D, Varnes JD (1996) Landslide types and processes. Landslides: investigation and mitigation. Transport Research Board. Washington DC, pp 36–75

  • Deane E, Macciotta R, Hendry MT, Gräpel C, Skirrow R (2020a) Leveraging historical aerial photographs and digital photogrammetry techniques for landslide investigation—a practical perspective. Landslides. https://doi.org/10.1007/s10346-020-01437-z

    Article  Google Scholar 

  • Deane E, Macciotta R, Hendry MT, Gräpel C, Skirrow R. (2020b) Historical aerial photographs and digital photogrammetry techniques to investigate the development and evolution of the Chin Coulee landslide in Alberta. In: In GeoVirtual 2020, Proceedings of the Canadian Geotechnical Conference. Calgary, AB, Canada

  • Deane E, Macciotta R, Hendry M, Gräpel C, Skirrow R (2019) The use and limitations of modern technologies for slow, vegetated landslide monitoring - Chin Coulee landslide. In: 72nd Canadian Geotechnical Conference, Geo St. John’s 2019. St. John’s, NL, Canada

  • Doberstein D (2012) Fundamentals of GPS Receivers. Springer, Nipomo, CA, USA

    Book  Google Scholar 

  • Eyo EE, Musa TA, Omar KM, Idris KM, Bayrak T, Onuigbo IC, Opaluwa YD (2014) Application of low-cost GPS tools and techniques for landslide monitoring: a review. Jurnal Teknologi (sciences & Engineering) 71(4):71–78

    Google Scholar 

  • Gaib S, Wilson B, Lapointe E (2012) Design, construction and monitoring of a test section for the stabilization of an active slide area utilizing soil mixed shear keys installed using cutter soil mixing. ISSMGE - TC 211 International Symposium on Ground Improvement (IS-GI), Brussels

  • Glabsch J, Heunecke O, Schuhbäck S (2009) Monitoring the Hornbergl landslide using a recently developed low cost GNSS sensor network. J Appl Geod 3:179–192

    Google Scholar 

  • Golder and Associates (Golder & Associates) (1998) Geotechnical investigation – site S5: highway 36:02 – November 1998 Report Geotechnical Risk Management Plan

  • Gu DM, Huang D, Yang WD, Zhu JL, Fu GY (2017) Understanding the triggering mechanism and possible kinematic evolution of a reactivated landslide in the Three Gorges Reservoir. Landslides 14:2073–2087

    Article  Google Scholar 

  • Hendry M, Macciotta R, Martin CD, Reich B (2015) Effect of Thompson River elevation on velocity and instability of Ripley Slide. Can Geotech J 52:257–267. https://doi.org/10.1139/cgj-2013-0364

    Article  Google Scholar 

  • Hendry MT, Chalcroft D, Zaidi H, Iqbal MJ (2019) Instrumentation data review and long-term trends of displacement at the Oldman River Dam: a case study. Proc Can Dam Assoc Annu Conf Calgary 1–15

  • Intrieri E, Gigli G, Mugnai F, Fanti R, Casagli N (2012) Design and implementation of a landslide early warning system. Eng Geol 147–148:124–136. https://doi.org/10.1016/j.enggeo.2012.07.017

    Article  Google Scholar 

  • Journault J, Macciotta R, Hendry M, Charbonneau F, Huntley D, Bobrowsky PT (2016) Identification and quantification of concentrated movement zones within the Thompson River Valley using satellite InSAR. Proc 2016 11th Int Pipeline Conf

  • Klohn Crippen Berger (KCB) (2018) Geotechnical drilling and instrument installation – February 2018 Report, Geotechnical Risk Management Plan

  • Kintner PM, Ledvina BM, De Paula ER (2007) GPS and ionospheric scintillations. Sp. Weather 5:1–23. https://doi.org/10.1029/2006SW000260

    Article  Google Scholar 

  • Lato M, Porter M, Henshold G, McDougall S, Kromer R, Gaib S (2016) Understanding landslide movement and kinematics with airborne lidar. Proc 69th Can Geotech Soc Conf GeoVancouver. https://doi.org/10.1007/s12013-010-9150-8

  • Macciotta R, Hendry M, Cruden DM, Blais-Stevens A, Edwards T (2017a) Quantifying rock fall probabilities and their temporal distribution associated with weather seasonality. Landslides 14:2025–2039. https://doi.org/10.1007/s10346-017-0834-7

    Article  Google Scholar 

  • Macciotta R, Rodriguez J, Hendry M, Martin CD, Edwards T, Evans T (2017b) The 10-mile slide North of Lillooet, British Columbia – history , characteristics and monitoring. In: 3rd North American Symposium on Landslides. Roanoke, Virginia

  • Macciotta R, Hendry M, Martin CD (2016) Developing an early warning system for a very slow landslide based on displacement monitoring. Nat Hazards 81:887–907. https://doi.org/10.1007/s11069-015-2110-2

    Article  Google Scholar 

  • Macciotta R, Hendry M, Martin CD, Elwood D, Lan H, Huntley D, Bobrowsky P, Sladen W, Bunce C, Choi E, Edwards T. (2014) Monitoring of the Ripley landslide in the Thompson River Valley, B.C. Geohazards 6 8. https://doi.org/10.13140/2.1.2811.7125

  • Madson A, Fielding E, Sheng Y, Cavanaugh K (2019) High-resolution spaceborne, airborne and in situ landslide kinematic measurements of the Slumgullion landslide in southwest Colorado. Remote Sensing 11:265

    Article  Google Scholar 

  • Mekik C, Arslanoglu M (2009) Investigation on accuracies of real time kinematic GPS for GIS applications. Remote Sensing 1(1):22–35

    Article  Google Scholar 

  • Miller S, Zhang X, Spanias A (2015) Multipath effects in GPS receivers: a primer. Morgan & Claypool. https://doi.org/10.2200/S00682ED1V01Y201511COM011

    Article  Google Scholar 

  • Mulas M, Ciccarese G, Ronchetti F, Corsini TGA (2018) Slope dynamics and streambed uplift during the Pergalla landslide reactivation in March 2016 and discussion of concurrent causes (Northern Apennines, Italy). Landslides 15:1881–1887

    Article  Google Scholar 

  • Mulas M, Ciccarese G, Corsini TGA (2020) Integration of digital image correlation of sentinel-2 data and continuous GNSS for long-term slope movements monitoring in moderately rapid landslides. Remote Sensing 12:2605

    Article  Google Scholar 

  • Notti D, Cina A, Manzino A, Colombo A, Bendea IH, Mollo P, Giordan D (2020) Low-cost GNSS solution for continuous monitoring of slope instabilities applied to Madonna Del Sasso Sanctuary (NW Italy). Sensors 20:289

    Article  Google Scholar 

  • Odolinski R, Teunissen PJG (2017) Low-cost, high-precision, single-frequency GPS–BDS RTK positioning. GPS Solut 21:1315–1330. https://doi.org/10.1007/s10291-017-0613-x

    Article  Google Scholar 

  • Ophelia Sensors (2019) Geocube applications. https://ophelia-sensors.com/applications. Accessed 26 Aug 2019

  • Rodriguez J, Macciotta R, Hendry MT, Roustaei M, Gräpel C, Skirrow R (2020) UAVs for monitoring, investigation, and mitigation design of a rock slope with multiple failure mechanisms—a case study. Landslides. https://doi.org/10.1007/s10346-020-01416-4

    Article  Google Scholar 

  • Rodriguez J, Hendry MT, Macciotta R, Evans T (2018) Cost-effective landslide monitoring GPS system : characteristics, implementation and results. In: Geohazards7. Canmore, Alberta

  • Romero-Andrade R, Zamora-Maciel A, de Uriarte-Adrián JJ, Pivot F, Trejo-Soto ME (2019) Comparative analysis of precise point positioning processing technique with GPS low-cost in different technologies with academic software. Meas J Int Meas Confed 136:337–344. https://doi.org/10.1016/j.measurement.2018.12.100

    Article  Google Scholar 

  • Semenza E, Ghirotti M (2000) History of the 1963 Vaiont slide: the importance of geological factors. Bull Eng Geol Env 59(2):87–97

    Article  Google Scholar 

  • Smethurst JA, Smith A, Uhlemann S, Wooff C, Chambers J, Hughes P, Lenart S et al (2017) Current and future role of instrumentation and monitoring in the performance of transport infrastructure slopes. Q J Eng Geol Hydrogeol 50:271–286. https://doi.org/10.1144/qjegh2016-080

    Article  Google Scholar 

  • Takasu T, Yasuda A (2009) Development of the low-cost RTK GPS receiver with the open source program package RTKLIB. International Symposium on GPS/GNSS. International Convention Centre Jeju, Korea, 2009

  • Vaziri A, Moore L, Ali H (2010) Monitoring systems for warning impending failures in slopes and open pit mines. Nat Hazards 55:501–512. https://doi.org/10.1007/s11069-010-9542-5

    Article  Google Scholar 

  • Wieczorek GF (1996) Landslide triggering mechanisms. Landslides: investigation and mitigation. Transport Research Board. Washington DC, pp 76–90

  • Woods A, Hendry MT, Macciotta R, Stewart T, Marsh J (2020) GB-InSAR monitoring of vegetated and snow-covered slopes in remote mountainous environments. Landslides. https://doi.org/10.1007/s10346-020-01408-4

    Article  Google Scholar 

  • Yu F (2011) The feasibility of applying single-frequency receivers to slope monitoring. Geotechnical Special Publication. American Society of Civil Engineering ASCE 216:13–141

    Google Scholar 

  • Zhang Y, Yu W, Han Y, Hong Z, Shen S, Yang S, Wang J (2019) Static and kinematic positioning performance of a low-cost real-time kinematic navigation system module. Adv Sp Res 63:3029–3042. https://doi.org/10.1016/j.asr.2018.10.048

    Article  Google Scholar 

Download references

Acknowledgements

The authors thank CN for providing access to the Ten-mile site and for purchasing the Geocube units. We also thank Alberta Transportation for purchasing the Geocube units for the Chin Coulee landslide and for facilitating site information and logistics. Research at the Ten-mile landslide was conducted through the (Canadian) Railway Ground Hazard Research Program, which is funded by the Natural Sciences and Engineering Research Council of Canada (NSERC ALLRP 549684-19), Canadian Pacific Railway, CN, and Transport Canada. The research at the Chin Coulee landslide was completed through a collaboration with Klohn Crippen Berger (KCB) and Alberta Transportation and was funded by NSERC and KCB (Engage Gant # EGP 521877-17; KCB CRD # CRDPJ 543429-19).

Funding

Research at the Ten-mile landslide was conducted through the (Canadian) Railway Ground Hazard Research Program, which is funded by the Natural Sciences and Engineering Research Council of Canada (NSERC ALLRP 549684–19), Canadian Pacific Railway, CN, and Transport Canada. The research at the Chin Coulee landslide was completed through a collaboration with Klohn Crippen Berger (KCB) and Alberta Transportation and was funded by NSERC and KCB (Engage Gant # EGP 521877–17; KCB CRD # CRDPJ 543429–19).

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to the work in this manuscript and approve this submission.

Corresponding author

Correspondence to Macciotta R.

Ethics declarations

Conflict of interest

The authors declare no competing interests.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

J, R., E, D., T, H.M. et al. Practical evaluation of single-frequency dGNSS for monitoring slow-moving landslides. Landslides 18, 3671–3684 (2021). https://doi.org/10.1007/s10346-021-01737-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10346-021-01737-y

Keywords

Navigation