Different landslide sampling strategies in a grid-based bi-variate statistical susceptibility model

Geomorphology

Volumn 253, Issue , 2016, Pages 508-523

  Hussin, Haydar Y ^a   Zumpano, Veronica ^b   Reichenbach, Paola ^c   Sterlacchini, Simone ^d   Micu, Mihai ^b   van Westen, Cees ^a   Bălteanu, Dan ^b  

^a UNIVERSITY OF TWENTE   (Netherlands)

^b ACADEMY OF ROMANIAN SCIENTISTS   (Romania)

^c CNR Consiglio Nazionale delle Ricerche   (Italy)

^d CNR   (Italy)

Author keywords

Grid based analysis; Landslide sampling; Landslide susceptibility; Weights of evidence (WofE)

Indexed keywords

DEBRIS FLOW; GEOSTATISTICS; LANDSLIDE; MAPPING; MULTIVARIATE ANALYSIS; NUMERICAL MODEL; PERFORMANCE ASSESSMENT; RIVER BASIN; SAMPLING;

ALPS; BUZAU; CARPATHIANS; ITALY; ROMANIA;

EID: 84946944338     PISSN: 0169555X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.geomorph.2015.10.030     Document Type: Article

References (84)

1. Akgun A. A comparison of landslide susceptibility maps produced by logistic regression, multi-criteria decision, and likelihood ratio methods: a case study at zmir, Turkey. Landslides 2012, 9(1):93-106.
2. Aleotti P., Chowdhury R. Landslide hazard assessment: summary review and new perspectives. Bull. Eng. Geol. Environ. 1999, 58(1):21-44.
3. Atkinson P.M., Massari R. Generalised linear modelling of susceptibility to landsliding in the Central Apennines, Italy. Comput. Geosci. 1998, 24(4):373-385.
4. Ayalew L., Yamagishi H. The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan. Geomorphology 2005, 65(1-2):15-31.
5. Beguería S. Validation and evaluation of predictive models in hazard assessment and risk management. Nat. Hazards 2006, 37(3):315-329.
6. Blahut J., van Westen C.J., Sterlacchini S. Analysis of landslide inventories for accurate prediction of debris-flow source areas. Geomorphology 2010, 119(1-2):36-51.
7. Bonham-Carter G.F., Agterberg F.P., Wright D.F. Weights of evidence modelling: a new approach to mapping mineral potential. Statistical Applications in Earth Sciences 1989, Geological Survey of Canada, Ottowa. D.F. Agterberg, G.F. Bonham-Carter (Eds.).
8. Borga M., Boscolo P., Zanon F., Sangati M. Hydrometeorological analysis of the August 29, 2003 flash flood in the eastern Italian Alps. J. Hydrometeorol. 2007, 8:1049-1067.
9. Borga M., Gaume E., Creutin J.D., Marchi L. Surveying flash floods: gauging the ungauged extremes. Hydrol. Process. 2008, 22:3883-3885.
10. Brenning A. Spatial prediction models for landslide hazards: review, comparison and evaluation. Nat. Hazards Earth Syst. Sci. 2005, 5(6):853-862.
11. Brenning A. Benchmarking classifiers to optimally integrate terrain analysis and multispectral remote sensing in automatic rock glacier detection. Remote Sens. Environ. 2009, 113(1):239-247.
12. Calligaris C., Boniello M.A., Zini L. Debris flow modelling in Julian Alps using FLO-2D. Monitoring, Simulation 2008, 81-88. Prevention and Remediation of Dense and Debris Flows II. Witpress, Southhampton, UK. D. De Wrachien, C.A. Brebbia, M.A. Lenzi (Eds.).
13. Carrara A. Multivariate models for landslide hazard evaluation. J. Int. Assoc. Math. Geol. 1983, 15(3):403-426.
14. Carrara A., Cardinali M., Guzzetti F., Reichenbach P. Gis technology in mapping landslide hazard. Geographical Information Systems in Assessing Natural Hazards. Advances in Natural and Technological Hazards Research 1995, 135-175. Springer, Netherlands. A. Carrara, F. Guzzetti (Eds.).
15. Carrara A., Crosta G., Frattini P. Comparing models of debris-flow susceptibility in the alpine environment. Geomorphology 2008, 94(3-4):353-378.
16. Castellanos Abella E.A., de Jong S.M., van Westen C.J., van Asch T.W.J. Multi-scale Landslide Risk Assessment in Cuba 2008, (ITC PhD Dissertation 154), ITC, Enschede, University of Utrecht, Utrecht.
17. Catani F., Lagomarsino D., Segoni S., Tofani V. Landslide susceptibility estimation by random forests technique: sensitivity and scaling issues. Nat. Hazards Earth Syst. Sci. 2013, 13(11):2815-2831.
18. Chung C.-J., Fabbri A.G. Probabilistic prediction models for landslide hazard mapping. Proceedings of International Association for Mathematical Geology 1998 Annual Meeting (IAMG'98) 1999, 203-211. Ischia, Italy, (October 1998). A. Buccianti, G. Nardi, R. Potenza (Eds.).
19. Chung C.-J., Fabbri A.G. Validation of spatial prediction models for landslide hazard mapping. Nat. Hazards 2003, 30(3):451-472.
20. Chung C.-J., Fabbri A.G. Systematic Procedures of Landslide Hazard Mapping for Risk Assessment Using Spatial Prediction Models, Landslide Hazard and Risk 2005, 139-174. John Wiley & Sons, Ltd.
21. Clerici A., Perego S., Tellini C., Vescovi P. A GIS-based automated procedure for landslide susceptibility mapping by the conditional analysis method: the Baganza valley case study (Italian Northern Apennines). Environ. Geol. 2006, 50(7):941-961.
22. Corominas J., Westen C., Frattini P., Cascini L., Malet J.P., Fotopoulou S., Catani F., Eeckhaut M., Mavrouli O., Agliardi F., Pitilakis K., Winter M.G., Pastor M., Ferlisi S., Tofani V., Hervás J., Smith J.T. Recommendations for the quantitative analysis of landslide risk. Bull. Eng. Geol. Environ. 2013, 73(2):1-55.
23. Creutin J.D., Borga M. Radar hydrology modifies the monitoring of flash flood hazard. Hydrol. Process. 2003, 17(7):1453-1456.
24. Crozier M.J., Glade T. Landslide Hazard and Risk: Issues, Concepts and Approach, Landslide Hazard and Risk 2005, 1-40. John Wiley & Sons, Ltd.
25. Dai F.C., Lee C.F., Ngai Y.Y. Landslide risk assessment and management: an overview. Eng. Geol. 2002, 64(1):65-87.
26. Demir G., Aytekin M., Akgün A., kizler S., Tatar O. A comparison of landslide susceptibility mapping of the eastern part of the North Anatolian Fault Zone (Turkey) by likelihood-frequency ratio and analytic hierarchy process methods. Nat. Hazards 2013, 65(3):1481-1506.
27. Donati L., Turrini M.C. An objective method to rank the importance of the factors predisposing to landslides with the GIS methodology: application to an area of the Apennines (Valnerina; Perugia, Italy). Eng. Geol. 2002, 63(3-4):277-289.
28. Felicísimo Á., Cuartero A., Remondo J., Quirós E. Mapping landslide susceptibility with logistic regression, multiple adaptive regression splines, classification and regression trees, and maximum entropy methods: a comparative study. Landslides 2013, 10(2):175-189.
29. Fell R., Corominas J., Bonnard C., Cascini L., Leroi E., Savage W.Z. Guidelines for landslide susceptibility, hazard and risk zoning for land-use planning. Eng. Geol. 2008, 102(3-4):99-111.
30. Florea N., Munteanu I. Sistemu Roman de Taxonomie a Solurilor 2000, Univ. "Al. I. Cuza", lasi, (107 pp.).
31. Galli M., Ardizzone F., Cardinali M., Guzzetti F., Reichenbach P. Comparing landslide inventory maps. Geomorphology 2008, 94(3-4):268-289.
32. Galve J., Cevasco A., Brandolini P., Soldati M. Assessment of shallow landslide risk mitigation measures based on land use planning through probabilistic modelling. Landslides 2014, 12(1):1-14.
33. Glade T., Crozier M.J. A Review of Scale Dependency ien Landslide Hazard and Risk Analysis, Landslide Hazard and Risk 2005, 75-138. John Wiley & Sons, Ltd.
34. Gorum T., Fan X., van Westen C.J., Huang R.Q., Xu Q., Tang C., Wang G. Distribution pattern of earthquake-induced landslides triggered by the 12 May 2008 Wenchuan earthquake. Geomorphology 2011, 133(3-4):152-167.
35. Guns M., Vanacker V. Logistic regression applied to natural hazards: rare event logistic regression with replications. Nat. Hazards Earth Syst. Sci. 2012, 12(6):1937-1947.
36. Guzzetti F., Carrara A., Cardinali M., Reichenbach P. Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy. Geomorphology 1999, 31(1-4):181-216.
37. Guzzetti F., Reichenbach P., Cardinali M., Galli M., Ardizzone F. Probabilistic landslide hazard assessment at the basin scale. Geomorphology 2005, 72(1-4):272-299.
38. Heckmann T., Gegg K., Gegg A., Becht M. Sample size matters: investigating the effect of sample size on a logistic regression susceptibility model for debris flows. Nat. Hazards Earth Syst. Sci. 2014, 14(2):259-278.
39. Hjort J., Marmion M. Effects of sample size on the accuracy of geomorphological models. Geomorphology 2008, 102(3-4):341-350.
40. Hussin H.Y., Zumpano V., Sterlacchini S., Reichenbach P., Bãlteanu D., Micu M., Bordogna G., Cugini M. Comparing the predictive capability of landslide susceptibility models in three different study areas using the weights of evidence technique. Geophysical Research Abstracts 15 2013, (EGU2013-12701-1).
41. Jurko J., Paudits P., Vlcko J. Landslide susceptibility map of Liptovska kotlina basin using GIS. IAEG2006, Engineering Geology for Tomorrow's Cities 2006, 162. The Geological Society of London, Nottingham, United Kingdom. M. Culshaw, H. Reeves, T. Spink, I. Jefferson (Eds.).
42. Lee S. Application and cross-validation of spatial logistic multiple regression for landslide susceptibility analysis. Geosci. J. 2005, 9(1):63-71.
43. Lee S., Choi J., Min K. Landslide susceptibility analysis and verification using the Bayesian probability model. Environ. Geol. 2002, 43(1-2):120-131.
44. Malek Ž., Scolobig A., Schröter D. Understanding land cover changes in the Italian Alps and Romanian Carpathians combining remote sensing and stakeholder interviews. Land 2014, 3(1):52-73.
45. Martha, T.R., van Westen, C.J., Kerle, N., Jetten, V., Vinod Kumar, K., 2013. Landslide hazard and risk assessment using semi-automatically created landslide inventories. Geomorphology 184(0), 139-150.
46. Melchiorre C., Matteucci M., Azzoni A., Zanchi A. Artificial neural networks and cluster analysis in landslide susceptibility zonation. Geomorphology 2008, 94(3-4):379-400.
47. Micu M., Bălteanu D. A deep-seated landslide dam in the Siriu reservoir (Curvature Carpathians, Romania). Landslides 2013, 10(3):323-329.
48. Mondini A.C., Guzzetti F., Reichenbach P., Rossi M., Cardinali M., Ardizzone F. Semi-automatic recognition and mapping of rainfall induced shallow landslides using optical satellite images. Remote Sens. Environ. 2011, 115(7):1743-1757.
49. Nefeslioglu H.A., Gokceoglu C., Sonmez H. An assessment on the use of logistic regression and artificial neural networks with different sampling strategies for the preparation of landslide susceptibility maps. Eng. Geol. 2008, 97(3-4):171-191.
50. Neuhäuser B., Terhorst B. Landslide susceptibility assessment using "weights-of-evidence" applied to a study area at the Jurassic escarpment (SW-Germany). Geomorphology 2007, 86(1-2):12-24.
51. Ozdemir A., Altural T. A comparative study of frequency ratio, weights of evidence and logistic regression methods for landslide susceptibility mapping: Sultan Mountains, SW Turkey. J. Asian Earth Sci. 2013, 64:180-197.
52. Pasuto A., Silvano S., Berlasso G. Application of time domain reflectometry (Tdr) technique in monitoring the Pramollo Pass landslide (province of Udine, Italy). Landslides In Research, Theory And Practice 2000, 1189-1194. Thomas Telford Publishing. E. Bromhead, N. Dixon, M.-L. Ibsen (Eds.).
53. Petschko H., Brenning A., Bell R., Goetz J., Glade T. Assessing the quality of landslide susceptibility maps - case study Lower Austria. Nat. Hazards Earth Syst. Sci. 2014, 14(1):95-118.
54. Piacentini D., Troiani F., Soldati M., Notarnicola C., Savelli D., Schneiderbauer S., Strada C. Statistical analysis for assessing shallow-landslide susceptibility in south Tyrol (south-eastern Alps, Italy). Geomorphology 2012, 151-152:196-206.
55. Poli S., Sterlacchini S. Landslide representation strategies in susceptibility studies using weights-of-evidence modeling technique. Nat. Resour. Res. 2007, 16(2):121-134.
56. Pradhan B. An assessment of the use of an advanced neural network model with five different training strategies for the preparation of landslide susceptibility maps. J. Data Sci. 2011, 9:65-81.
57. Pradhan B., Oh H.-J., Buchroithner M. Weights-of-evidence model applied to landslide susceptibility mapping in a tropical hilly area. Geomat. Nat. Haz. Risk 2010, 1(3):199-223.
58. Qi S., Xu Q., Lan H., Zhang B., Liu J. Spatial distribution analysis of landslides triggered by 2008.5.12 Wenchuan Earthquake, China. Eng. Geol. 2010, 116(1-2):95-108.
59. Regmi N.R., Giardino J.R., Vitek J.D. Modeling susceptibility to landslides using the weight of evidence approach: Western Colorado, USA. Geomorphology 2010, 115(1-2):172-187.
60. Regmi N., Giardino J., McDonald E., Vitek J. A comparison of logistic regression-based models of susceptibility to landslides in western Colorado, USA. Landslides 2013, 11(2):247-262.
61. Remondo J., González A., De Terán J., Cendrero A., Fabbri A., Chung C.-J. Validation of landslide susceptibility maps; examples and applications from a case study in northern Spain. Nat. Hazards 2003, 30(3):437-449.
62. San B.T. An evaluation of SVM using polygon-based random sampling in landslide susceptibility mapping: the Candir catchment area (western Antalya, Turkey). Int. J. Appl. Earth Obs. Geoinf. 2014, 26:399-412.
63. Sawatzky D.L., Raines G.L., Bonham-Carter G.F., Looney C.G. Spatial Data Modeller (SDM): ArcMAP 9.3 Geoprocessing Tools for Spatial Data Modelling using Weights of Evidence, Logistic Regression, Fuzzy Logic and Neural Networks 2009.
64. Simon N., Crozier M., de Róiste M., Rafek A.G. Point based assessment: selecting the best way to represent landslide polygon as point frequency in landslide investigation. Electron. J. Geotech. Eng. 2013, 18:775-784.
65. Soeters R., van Westen C.J. Slope instability recognition, analysis, and zonation. Landslides: Investigation and Mitigation 1996, 129-177. Transportation Research Board, National Research Council. National Academy Press, Washington D.C. A.K. Turner, R.L. Schuster (Eds.).
66. Sterlacchini S., Ballabio C., Blahut J., Masetti M., Sorichetta A. Spatial agreement of predicted patterns in landslide susceptibility maps. Geomorphology 2011, 125(1):51-61.
67. Süzen M.L., Doyuran V. Data driven bivariate landslide susceptibility assessment using geographical information systems: a method and application to Asarsuyu catchment, Turkey. Eng. Geol. 2004, 71(3-4):303-321.
68. Thiery Y., Malet J.P., Sterlacchini S., Puissant A., Maquaire O. Landslide susceptibility assessment by bivariate methods at large scales: application to a complex mountainous environment. Geomorphology 2007, 92(1-2):38-59.
69. Tropeano D., Turconi L., Sanna S. Debris flows triggered by the 29 August 2003 cloudburst in Val Canale, eastern Italian Alps. Proceedings of the 10th Internationales Symposium Interpraevent 2004, Riva del Garda, Italy 2004, 121-132.
70. Van Den Eeckhaut M., Vanwalleghem T., Poesen J., Govers G., Verstraeten G., Vandekerckhove L. Prediction of landslide susceptibility using rare events logistic regression: a case-study in the Flemish Ardennes (Belgium). Geomorphology 2006, 76(3-4):392-410.
71. Van Den Eeckhaut M., Reichenbach P., Guzzetti F., Rossi M., Poesen J. Combined landslide inventory and susceptibility assessment based on different mapping units: an example from the Flemish Ardennes, Belgium. Nat. Hazards Earth Syst. Sci. 2009, 9(2):507-521.
72. Van Den Eeckhaut M., Marre A., Poesen J. Comparison of two landslide susceptibility assessments in the Champagne-Ardenne region (France). Geomorphology 2010, 115(1-2):141-155.
73. van Westen C.J. Application of Geographic Information Systems to Landslide Hazard Zonation 1993, (Ph.D. Dissertation), ITC, Enschede, The Netherlands.
74. van Westen C.J. The modelling of landslide hazards using Gis. Surv. Geophys. 2000, 21(2-3):241-255.
75. van Westen C.J. Geo-information tools for landslide risk assessment: an overview of recent development. Landslides: Evaluation and Stabilization - Glissement de Terrain: Evaluation et Stabilisation, Proceedings of the 9th International Symposium on Landslides, Rio de Janeiro, Brazil 2004, 39-56. Balkema, London. W. Lacerda, M. Erlich, S.A.B. Fontoura, A.S.F. Sayao (Eds.).
76. van Westen C.J., Rengers N., Terlien M.T.J., Soeters R. Prediction of the occurrence of slope instability phenomenal through GIS-based hazard zonation. Geol. Rundsch. 1997, 86(2):404-414.
77. van Westen C.J., Soeters R., Sijmons K. Digital geomorphological landslide hazard mapping of the Alpago area, Italy. Int. J. Appl. Earth Obs. Geoinf. 2000, 2(1):51-60.
78. van Westen C.J., Castellanos E., Kuriakose S.L. Spatial data for landslide susceptibility, hazard, and vulnerability assessment: an overview. Eng. Geol. 2008, 102(3-4):112-131.
79. Varnes D.J. Landslide Hazard Zonation: A Review of Principles and Practice 1984, Unesco, Paris.
80. Wang H.B., Liu G.J., Xu W.Y., Wang G.H. GIS-based landslide hazard assessment: an overview. Prog. Phys. Geogr. 2005, 29(4):548-567.
81. Xu C., Xu X., Yao X., Dai F. Three (nearly) complete inventories of landslides triggered by the May 12, 2008 Wenchuan Mw 7.9 earthquake of China and their spatial distribution statistical analysis. Landslides 2014, 11(3):441-461.
82. Yilmaz I. The effect of the sampling strategies on the landslide susceptibility mapping by conditional probability and artificial neural networks. Environ. Earth Sci. 2010, 60(3):505-519.
83. Zumpano V., Ciurean R.L., Micu M., Bãlteanu D., Glade T. Uncertainty associated with regional landslide risk analysis - a case study in Buzău County, Romania. Geophys. Res. Abstr. 2013, 15. (EGU2013-9306).
84. Zumpano V., Hussin H.Y., Reichenbach P., Balteanu D., Micu M., Sterlacchini S. A landslide susceptibility analysis for Buzău County, Romania. Rom. J. Geogr./Rev. Roum. Geogr. 2014, 58(1):9-16.