Landslide morphology analysis model based on LiDAR and topographic dataset comparison

Surveying and Land Information Science

Volumn 68, Issue 3, 2008, Pages 155-170

  Dalyot, Sagi ^a   Keinan, Eran ^a   Doytsher, Yerach ^a  

^a TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

Author keywords

DEM; Georegistration; Landslide; LiDAR; Modeling; Monitoring; Morphology; Natural disaster

Indexed keywords

DATA SET; DIGITAL ELEVATION MODEL; GEOMORPHOLOGY; LANDSLIDE; LIDAR; NUMERICAL MODEL; PRECISION; TOPOGRAPHIC MAPPING;

EID: 56149121069     PISSN: 15381242     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (35)

1. Abo Akel, N., S. Filin, and Y. Doytsher. 2007. Orthogonal polynomials supported by region growing segmentation for the extraction of terrain from LiDAR data. Photogrammetric Engineering and Remote Sensing 73(11): 1253-66.
2. Baker, R. 2003. A second look at Taylor's stability chart. Journal of Geotechnical and Geoenvironmental Engineering 129(12): 1102-8.
3. Baltavias, E.P. 1999. A comparison between photogrammetry and laser scanning. ISPRS Journal of Photogrammetry & Remote Sensing 54: 83-94.
4. Besl, P.J., and N.D. McKay. 1992. A method for registration of 3-D Shapes. IEEE Transactions on Pattern Analysis and Machine Intelligence 14(2): 239-56.
5. Bottino, G., A. Godio, and F. Rinaudo. 2007. Integration between laser-scanner image and geophysical data for large landslide analysis, in Geophysical Research Abstracts, Vol. 9, no. 02949. SRef-ID: 1607-7962/gra/EGU2007-A-02949. European Geosciences Union, Strasbourg, France, 2007.
6. Brown, L.G. 1992. A survey of image registration techniques. ACM Computing Surveys (CSUR) 24(4): 325-76.
7. Chadwick, J., N. Glenn, G. Thackray, and S. Dorsch. 2005. Landslide surveillance: New tools for an old problem. EOS Transactions, American Geophysical Union 86(11): 109-20.
8. Chang, K.T., and J.K Liu. 2004. Landslide features interpreted by neural network method using a high-resolution satellite image and digital topographic data. ISPRS 2004 Photogrammetry and Remote Sensing, Commission VII, TS WG VII/5.
9. Galiatsatos, N., D.N.M. Donoghue, L. Dong, and J. Warburton. 2007. Assessment of sediment delivery from shallow landslides in upland terrain using 3D remote sensing, in Challenges for earth observation - Scientific, technical and commercial. Annual Conference 2007, Remote Sensing and Photogrammetry Society (RSPSoc2007), 11-14 September, 2007, Newcastle, U.K.
10. Glenn, N.F., DR. Streutker, D.J. Chadwick, G.D. Thackray, and S.J. Dorsch. 2006. Analysis of LiDAR-derived topographic information for characterizing and differentiating landslide morphology and activity. Geomorphology 73(1-2): 131-48.
11. Gruen, A. 1996. Least squares matching: A fundamental measurement algorithm, in Close-range photogrammetry and machine vision (Atkinson, K.B., Ed.). Whittles Publishing, Caithness, Chap. 8.
12. Gruen, A., and D. Akca. 2005. Least squares 3D surface matching, in Proc. ASPRS Annual Conference, Baltimore, Maryland.
13. Hill, T., and R. Westbrook. 1997. SWOT analysis: It's time for a product recall. Long Range Planning 30(1): 46-52.
14. Hsiao, K.H., J.K. Liu, M.F. Yu, and Y.H. Tseng. 2004. Change detection of landslide terrains using ground-based LiDAR data. XX ISPRS Congress, Istanbul, Turkey, ISPRS Commission VII, WC, VII/5.
15. Hutchinson, M.F., and J.C. Gallant. 2000. Digital elevation models and representation of terrain shape, in Terrain analysis: Principles and applications (Wilson, J.P., and Gallant, J.C., Eds.). John Wiley and Sons, Inc., New York, Chap. 2.
16. Huttenlocher, D.P., G.A. Klanderman, and W.J. Rucklidge. 1993. Comparing images using the Hausdorff distance. IEEE Transactions on Pattern Intelligence and Machine Intelligence 9: 850-63.
17. Kilburn, C.R.J., and A. Pasuto. 2003. Major risk from rapid, large-volume landslides in Europe (EU Project RUNOUT). Geomorphology 54: 3-9.
18. Lamdan, Y., J.T. Schwartz, and H.J. Wolfson. 1988. Object recognition by affine invariant matching, in Proceedings CVPR '88, Computer Society Conference on Computer Vision and Pattern Recognition, 1988, pp. 335-44.
19. Masahiro, C., D. Fengjun, Y. Hiroshi, and F. Takahiko. 2004. Using an airborne laser scanner for the identification of shallow landslides and susceptibility assessment in an area of ignimbrite overlain by permeable pyroclastics. Landslides 1(3): 203-9.
20. McKean, J., and J. Roering. 2004. Objective landslide detection and surface morphology mapping. Geomorphology 57: 331-51.
21. Mount, D.M., N.S. Netanyahu, and J. Le Moigne. 1998. Efficient algorithms for robust feature matching. Pattern Recognition 32(13): 17-28.
22. Pelling, M. 2003. The vulnerability of cities - Natural disasters and social resilience. Earthscan, London.
23. Press, F., and R.M. Hamilton. 1999. Mitigating natural disaster. Science 284(5422): 1927.
24. Rott, H., T. Nagler, F. Rocca, C. Prati, A. Mazzotti, H.R. Keusen, S. Liener, and D. Tarchi. 2002. MUSCL-Monitoring urban subsidence, cavities and landslides by remote sensing. Final Report, EC Project EVG1-CT-1999-00008, Institute for Meteorology and Geophysics, University of Innsbruck, Austria.
25. Rusinkiewicz, S., and M. Levoy. 2001. Efficient variants of the ICP algorithm, in Proc. 3D Digital Imaging and Modeling, IEEE Computer Society Press, pp. 145-52.
26. Sassa, IL, H. Fukuoka, T. Sekighchi, H. Moriwaki, and H. Ochiai. 2005. Achievements of aerial prediction of earthquake and rain induced rapid and long-travelling flow phenomena (APERITIF) project, Annuals of Disaster Prevention Research Institute, Kyoto University, No. 48C.
27. Schiller, A., A. De Sherbinin, and W. Hsieh. 2007. The vulnerability of global cities to climate hazards. Environment and Urbanization 19(1): 39-64.
28. Schulz, W.H. 2004. Landslides mapped using LiDAR imagery. U.S. Geological Survey, Open-File Report 2004-1396, Seattle, Washington.
29. Shahar, L., and G. Even-Tzur. 2006. Recent vertical movements inferred from high-precision levelling data in the Carmel Mountain. Israel Journal of Earth Sciences 54(4): 219-28.
30. Stockman, G., S. Kopstein, and S. Benett. 1982. Matching images to models for registration and object detection via clustering. LEEE Transactions on Pattern Analysis and Machine Intelligence 4(3): 229-41.
31. UN Office for the Coordination of Humanitarian Affairs website Date accessed 10/12/07, [http://www.irinnews.org/Report.aspx?ReportId=73998/ ].
32. Van Western, C.J. 2004. Geo-information tools for landslide risk assessment: An overview of recent developments, in Landslides: Evaluation and stabilization (Lacerda, W., Ehrlich, M., Fontoura, S.A.B., and Sayao, A.S.F., Eds.), Taylor & Francis Group, London.
33. Walstra, J., J.H. Chandler, N. Dixon, and T.A. Dijkstra. 2004. Time for change - Quantifying landslide evolution using historical aerial photographs and modern photogrammetric methods. ISPRS Commission IV, WG IV/6.
34. Wilson, J.P., P.L. Repetto, and R.D. Snyder. 2000. Effect of data source, grid resolution, and flow-routing method on computed topographic attributes, in Terrain analysis: Principles and applications (Wilson, J.P., and Gallant, J.C., Eds.), John Wiley and Sons, Inc., New York, Chap. 5.
35. Zhengyou, Z. 1993. Iterative point matching for registration of free-form curves and surfaces. International Journal of Computer Vision 13(2): 119-52.