Skip to main content

Sensor Data Integration for Landslide Monitoring—the LEMONADE Concept

Abstract

The project LEMONADE (LandslidE MOnitoriNg And Data intEgration) aims to combine different techniques investigating their benefits and drawbacks. We present the different techniques used to monitor the active Corvara landslide located in the Italian Dolomites. Satellite remote sensing products allow covering the whole landslide providing 1D displacement measurements while proximal and terrestrial techniques can provide 3D information. In this paper, preliminary results considering each individual method applied are discussed and a first estimation of landslide displacements for the period considered is given.

Keywords

  • Landslide monitoring
  • Remote sensing
  • 3D imaging techniques
  • Data integration

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-319-53498-5_9
  • Chapter length: 8 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   309.00
Price excludes VAT (USA)
  • ISBN: 978-3-319-53498-5
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   399.99
Price excludes VAT (USA)
Hardcover Book
USD   549.99
Price excludes VAT (USA)
Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

References

  • Aicardi I, Dabove P, Lingua AM, Piras M (2012) Integration between TLS and UAV photogrammetry techniques for forestry applications. iForest 009:1–7

    Google Scholar 

  • Berardino P, Fornaro G, Lanari R, Member S, Sansosti E (2002) A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms. IEEE Trans Geosci Remote Sens 40(11):2375–2383

    CrossRef  Google Scholar 

  • Borgatti L, Ravazzi C, Donegana M, Corsini A, Marchetti M, Soldati M (2007) A lacustrine record of early Holocene watershed events and vegetation history, Corvara in Badia, Dolomites (Italy). J Quat Sci 22(2):173–189

    CrossRef  Google Scholar 

  • Corsini A, Pasuto A, Soldati M, Zannoni A (2005) Field monitoring of the Corvara landslide (Dolomites, Italy) and its relevance for hazard assessment. Geomorphology 66(1–4):149–165

    CrossRef  Google Scholar 

  • EUREGIO partners (2016) LEMONADE—LandslidE MOnitoriNg And Data intEgration project. URL: http://lemonade.mountainresearch.at/. Last accessed 17 Oct 2016

  • Lichti DD, Skaloud J (2010) Registration and calibration. In: Vosselman G, Maas HG (eds) Airborne and terrestrial laser scanning. Whittles Publishing, Caithness, pp 83–133

    Google Scholar 

  • Mulas M, Petitta M, Corsini A, Schneiderbauer S, Mair FV, Lasio C (2015) Long-term monitoring of a deep-seated, slow-moving landslide by mean of C-band and X-band advanced interferometric products: the Corvara in Badia case study (Dolomites, Italy). ISPRS—International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-7/W3, pp 827–829

    Google Scholar 

  • Niethammer U, Rothmund S, James MR, Travelletti J, Joswig M (2010) UAV-based remote sensing of landslides. Int Arch Photogram Remote Sens Spat Inf Sci 38(5):496–501

    Google Scholar 

  • Prokop A, Panholzer H (2009) Assessing the capability of terrestrial laser scanning for monitoring slow moving landslides. Natural Haz Earth Syst Sci 9(6):1921–1928

    CrossRef  Google Scholar 

  • Remondino F, Del Pizzo S, Kersten TP, Troisi S (2012) Low-cost and open-source solutions for automated image orientation—a critical overview. In: Ioannides M et al. (eds) Euro-mediterranean conference. Springer, Berlin, pp 40–54

    Google Scholar 

  • Remondino F, Spera MG, Nocerino E, Menna F, Nex F (2014) State of the art in high density image matching. Photogram Rec 29(146):144–166

    CrossRef  Google Scholar 

  • SARMAP (2012) SARScape: Technical description. Switzerland

    Google Scholar 

  • Scaioni M, Longoni L, Melillo VMP (2014) Remote Sensing for Landslide Investigations: an overview of recent achievements and perspectives. Remote Sens 6:1–26

    CrossRef  Google Scholar 

  • Schädler W, Borgatti L, Corsini A, Meier J, Ronchetti F, Schanz T (2015) Geomechanical assessment of the Corvara earthflow through numerical modelling and inverse analysis. Landslides 12(3):495–510

    CrossRef  Google Scholar 

  • Skarlatos D, Kiparissi S (2012) Comparaison of laser scanning, photogrammetry and SFM-MVS pipeline applied in structures and artificial surfaces. ISPRS Ann Photogram Remote Sens Spat Inform Sci 3:299–304

    CrossRef  Google Scholar 

  • Stumpf A, Malet JP, Allemand P, Pierrot-Deseilligny M, Skupinski G (2015) Ground-based multi-view photogrammetry for the monitoring of landslide deformation and erosion. Geomorphology 231:130–145

    CrossRef  Google Scholar 

  • Thiebes B, Tomelleri E, Aguilar A, Rabanser M, Schlögel R, Mulas M, Corsini A (2016) Assessment of the 2006–2015 Corvara landslide evolution using a UAV-derived DSM and orthophoto. In: Aversa S, Cascini L, Picarelli L, Scavia C (eds) Landslides and engineered slopes. Experience, theory and practice. CRC Press, Naples, Italy, pp 1897–1902

    Google Scholar 

  • Wasowski J, Bovenga F (2014) Investigating landslides and unstable slopes with satellite multi temporal interferometry: current issues and future perspectives. Eng Geol 174:103–138

    CrossRef  Google Scholar 

  • Zucca F, Remondino F, Zizioli D, Meisina C (2009) Slopes survey and analysis using photogrammetrically derived digital surface models. In: Proceedings of RSPSoc 2009 annual conference, 8–11 September, Leicester, UK, pp 494–500

    Google Scholar 

Download references

Acknowledgements

This work is financed by the Europaregion Euregio Science Fund first Call for Interregional Project Network (IPN). UAV flights were done by A. Mejia Aguilar and E. Tomelleri (EURAC, Bolzano, Italy). We also thank M. Rutzinger and J. Peiffer (IGF-ÖAW, Innsbruck, Austria) for their help in TLS data acquisition and F. Remondino (FBK, Trento, Italy) as project coordinator. We also acknowledge the geological services of the Autonomous provinces of Trento and Bolzano as well as the Department of Geoinformation of the Federal State of Tyrol.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Romy Schlögel .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Schlögel, R., Thiebes, B., Toschi, I., Zieher, T., Darvishi, M., Kofler, C. (2017). Sensor Data Integration for Landslide Monitoring—the LEMONADE Concept. In: Mikos, M., Tiwari, B., Yin, Y., Sassa, K. (eds) Advancing Culture of Living with Landslides. WLF 2017. Springer, Cham. https://doi.org/10.1007/978-3-319-53498-5_9

Download citation