Skip to main content

Advertisement

SpringerLink
Log in

3D scene reconstruction of landslide topography based on data fusion between laser point cloud and UAV image

  • Original Article
  • Published:
Environmental Earth Sciences Aims and scope Submit manuscript

Abstract

The main topic of this research was to propose an optimizing modeling method of landslide topography. This method fuses high-resolution imagery from an unmanned aerial vehicle (UAV) with laser point cloud. Due to the relatively high efficiency and large coverage area, the UAV system is suitable for emergency investigation of landslide. Based on the UAV images and laser point cloud, the use of partial differential equation (PDE) combines the hole repair technology with non-uniform rational B-splines (NURBS) method to rapidly reconstruct a three-dimensional (3D) scene. The mean square error (MSE) determined by comparison with measured data from the laser scanner technology is 16.1274 mm. And the error of plane calculated by the NURBS surface fitting is smallest by comparing with the least-squares plane fitting, Delaunay triangulation and polygon mesh method. In addition, the realistic 3D landslide model is obtained by texture mapping. The XiaPa landslide in Liangshan District, Xichang City, Sichuan Province China, was selected as a case study, in which the accuracy is evaluated to prove that the model has higher precision than traditional methods. The experiment results show that the integrated approach in this paper could be implemented in qualitative and quantitative risk assessment procedures pertaining to landslides.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

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

Similar content being viewed by others

References

  • Al-Rawabdeh A, He F, Moussa A, El-Sheimy N, Habib A (2016) Using an unmanned aerial vehicle-based digital imaging system to derive a 3D point cloud for landslide scarp recognition. Remote Sens 8(952):95

    Article  Google Scholar 

  • Chau KT, Sze YL, Fung MK, Wong WY, Fong EL, Chan L (2004) Landslide hazard analysis for Hong Kong using landslide inventory and GIS. Comput Geosci 30(4):429–443

    Article  Google Scholar 

  • Duan G, Niu R, Peng L, Fu J (2017) A landslide displacement prediction research based on optimization-parameter ARIMA Model Under the inducing factors. Geomat Inf Sci Wuhan Univ 42(4):531–536

    Google Scholar 

  • Guzzetti F, Cardinali M, Reichenbach P, Carrara A (2000) Comparing landslide maps: a case study in the Upper Tiber River basin, central Italy. Environ Manag 25(3):247–263

    Article  Google Scholar 

  • Harwin S, Lucieer A (2012) Assessing the accuracy of georeferenced point clouds produced via multi-view stereopsis from unmanned aerial vehicle (UAV) imagery. Remote Sens 4(6):1573–1599

    Article  Google Scholar 

  • Hovius N, Stark CP, Allen PA (1997) Sediment flux from a mountain belt derived by landslide mapping. Geology 25(3):231–234

    Article  Google Scholar 

  • Huang Y, Yu M, Xu Q, Sawada K, Moriguchi S, Yashima A, Liu C, Xue L (2015) InSAR-derived digital elevation models for terrain change analysis of earthquake-triggered flow-like landslides based on ALOS/PALSAR imagery. Environ Earth Sci 73(11):7661–7668

    Article  Google Scholar 

  • Jaboyedoff M, Oppikofer T, Abellan A, Derron M, Loye A, Metzger R, Pedrazzini A (2012) Use of LIDAR in landslide investigations: a review. Nat Hazards 61(1):5–28

    Article  Google Scholar 

  • Jakob M (2000) The impacts of logging on landslide activity at Clayoquot sound, British Columbia. CATENA 38(4):279–300

    Article  Google Scholar 

  • Kraus K, Pfeifer N (1998) Determination of terrain models in wooded areas with airborne laser scanner data. ISPRS J Photogramm Remote Sens 53(4):193–203

    Article  Google Scholar 

  • Lazzari M, Gioia D (2017) UAV images and historical aerial-photos for geomorphological analysis and hillslope evolution of the Uggiano medieval archaeological site (Basilicata, southern Italy). Geomat Nat Hazards Risk 8(1):104–119

    Article  Google Scholar 

  • Li Z, Lezuo P, Pattappa G, Collin E, Alini M, Grad S, Peroglio M (2016) Development of an ex vivo cavity model to study repair strategies in loaded intervertebral discs. Eur Spine J 25(9):2898–2908

    Article  Google Scholar 

  • Lin K, Wu D, Liu S, Li P (2015) 3D face recognition algorithm based on partial differential equations deformable model. Appl Res Comput 32:2827–2830

    Google Scholar 

  • Liu J, Tang H, Zhang J, Shi T (2014) Glass landslide: the 3D visualization makes study of landslide transparent and virtualized. Environ Earth Sci 72(10SI):3847–3856

    Article  Google Scholar 

  • Marcato G, Mantovani M, Pasuto A, Zabuski L, Borgatti L (2012) Monitoring, numerical modelling and hazard mitigation of the Moscardo landslide (Eastern Italian Alps). Eng Geol 128(SI):95–107

    Article  Google Scholar 

  • McKean J, Roering J (2004) Objective landslide detection and surface morphology mapping using high-resolution airborne laser altimetry. Geomorphology 57(3–4):331–351

    Article  Google Scholar 

  • Na L, Yang J, Guo A, Liu Y, Hai L (2016) Triangulation reconstruction for 3D surface based on information model. Cybern Inf Technol 16(5):27–33

    Google Scholar 

  • Pirasteh S, Li J (2018) Developing an algorithm for automated geometric analysis and classification of landslides incorporating LiDAR-derived DEM. Environ Earth Sci 77(11):414

    Article  Google Scholar 

  • Ram M, Gupta A (2016) Numerical solution to stochastic partial differential equation with variable repair rate. Commun Stat Theory Methods 45(21):6245–6252

    Article  Google Scholar 

  • Rowlands KA, Jones LD, Whitworth M (2003) Landslide laser scanning: a new look at an old problem. Q J Eng Geol Hydrogeol 36(2):155–157

    Article  Google Scholar 

  • Siebert S, Teizer J (2014) Mobile 3D mapping for surveying earthwork projects using an unmanned aerial vehicle (UAV) system. Autom Constr 41:1–14

    Article  Google Scholar 

  • Travelletti J, Delacourt C, Allemand P, Malet JP, Schmittbuhl J, Toussaint R, Bastard M (2012) Correlation of multi-temporal ground-based optical images for landslide monitoring: application, potential and limitations. ISPRS J Photogramm Remote Sens 70:39–55

    Article  Google Scholar 

  • Wang C, Shi Z, Niu X (2010) An error driven 3D face modeling scheme based on partial differential equations. In: Sixth international conference on intelligent information hiding and multimedia signal processing (IIH-MSP 2010), Darmstadt, Germany, 15–17 October 2010, Proceedings. IEEE Computer Society

  • Xie M, Esaki T, Zhou G (2004) GIS-based probabilistic mapping of landslide hazard using a three-dimensional deterministic model. Nat Hazards 33(2):265–282

    Article  Google Scholar 

  • Yu M, Huang Y, Zhou J, Mao L (2017) Modeling of landslide topography based on micro-unmanned aerial vehicle photography and structure-from-motion. Environ Earth Sci 76(15):520

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported in part by the National Key R&D Program of China (Grant no. 2016YFC0401908). The author would like to thank the anonymous reviewers for their constructive comments.

Author information

Authors and Affiliations

  1. School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiaotong University, Shanghai, 200240, China

    Haowei Ji & Xianqi Luo

Authors
  1. Haowei Ji
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xianqi Luo
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Xianqi Luo.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ji, H., Luo, X. 3D scene reconstruction of landslide topography based on data fusion between laser point cloud and UAV image. Environ Earth Sci 78, 534 (2019). https://doi.org/10.1007/s12665-019-8516-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12665-019-8516-5

Keywords

Search

Navigation