Neural networks and landslide susceptibility: A case study of the urban area of Potenza

Natural Hazards

Volumn 45, Issue 1, 2008, Pages 55-72

  Caniani, Donatella ^a   Pascale, Stefania ^a   Sdao, Francesco ^a   Sole, Aurelia ^a  

^a UNIVERSITY OF BASILICATA   (Italy)

Author keywords

Artificial Neural Network; Landslide susceptibility map; Municipal area of Potenza (Basilicata, Southern Italy)

Indexed keywords

ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; ESTIMATION METHOD; HAZARD ASSESSMENT; HAZARD MANAGEMENT; LANDSLIDE; THEMATIC MAPPING; URBAN AREA; ZONATION;

BASILICATA; EURASIA; EUROPE; ITALY; POTENZA; SOUTHERN EUROPE;

EID: 39849085647     PISSN: 0921030X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11069-007-9169-3     Document Type: Article

References (23)

1. Aleotti P, Chowdhury R (1999) Landslide hazard assessment: Summary review and new perspectives. Bull Eng Geol Environ 58:21-44
2. Aleotti P, Balzelli P, De Marchi D (1996) Le reti neurali nella valutazione della suscettibilità da frana. Geologia tecnica e ambientale 4:37-47
3. Bishop C (1995) Neural networks for pattern recognition. Oxford University Press, Oxford
4. Canuti P, Casagli N (1994) Considerazioni sulla valutazione del rischio di frana. Estratto da "Fenomeni franosi e centri abitati". Atti del Convegno di Bologna del 27 Maggio 1994. CNR-GNDCI-Regione Emilia Romagna
5. Carrara A, Cardinali M, Guazzetti F, Reichenbach P (1995). GIS techniques in mapping landslide hazard. In: Carrara A, Guzzetti F (eds) Geographical information systems in assessing natural hazards. Kluwer Academic Publishers, The Netherlands, pp 135-175
6. Catani F, Casagli N, Ermini L, Righini G, Menduni G (2005) Landslide hazard and risk mapping at catchment scale in the Arno River basin. Landslides 2:329-342
7. Chung CHF, Fabbri AG, Van Western CJ (1995) Multivariate regression analysis for landslide hazard zonation. In: Carrara A, Guzzetti F (eds) Geographical information systems in assessing natural hazards. Kluwer Academic Publishers, The Netherlands, pp 107-142
8. Di Nocera S, Lazzari S, Pescatore T, Russo B, Senatore MR, Tramutoli M (1988) Note illustrative della carta geologica dell - alta valle del Basento (Appennino Lucano - Italia). In Atti del Convegno: Ambiente fisico, uso e tutela del territorio di Potenza
9. Eastman JR (2003) IDRISI Kilimanjaro, guide to GIS and image processing, user's guide (Ver. 14). Clark University Press, Massachusetts
10. Einstein HH (1988) Special lecture: Landslides risk assessment procedure. Proceedings of 5th symposium on landslides, Lausanne, vol 2, pp 1075-1090
11. Ercanoglu M (2005) Landslide susceptibility assessment of SE Bartin (West Black Sea region, Turkey) by artificial neural networks. Nat Hazards Earth Syst Sci 5:979-992
12. Ermini L, Catani F, Casagli N (2005) Artificial neural networks applied to landslide susceptibility assessment. Geomorphology 66:327-343
13. Fell R (1994) Landslide risk assessment and acceptable risk. Can Geotechnical J 31(2):261-272
14. Kojima H, Chung CF, Obayashi S, Fabbri AG (1998) Comparison of strategies in prediction modelling of landslide hazard zonation. Proceedings of IAMG, pp 218-223
15. Lee S, Ryu JH, Min K, Won JS (2003) Landslide susceptibility analysis using GIS and artificial neural network. Earth Surf Proc Landf 28:1361-1376
16. Lee S, Ryu JH, Won JS, Park HJ (2004) Determination and application of the weights for landslide susceptibility mapping using an artificial neural network. Eng Geol 71:289-302
17. Paola JD, Schowengerdt RA (1995) A review and analysis of backpropagation neural networks for classification of remotely sensed multi-spectral imagery. Int J Remote Sens 16:3033-3058
18. Perus I, Krajinc A (1996) AiNet: A neural network application for 32bit Windows environment. User's manual, version 1.22
19. Rosenfield G, Fitzpatrick-Lins K (1986). A coefficient of agreement as a measure of thematic classification accuracy. Photogramm Eng Remote Sens 52:223-227
20. Rumelhart DE, Hinton GE, Williams RJ (1986). Learning internal representations by error propagation. In: Rumelhart DE, McClelland JL (eds) Parallel distributed processing: Explorations in the microstructure of cognition, vol 1. MIT Press, Cambridge, pp 318-362
21. Soeters R, Van Westen CJ (1996) Slope stability recognition, analysis, and zonation application of geographical information system to landslide hazard zonation. In: Turner AK, Schuster RL (eds) Landslides: investigation and mitigation. Sp.-Rep. 247, Transportation Research Board, National Research Council. National Academy Press, Washington, DC, pp 129-177
22. Varnes DJ, IAEG Commission on Landslides (1984) Landslides hazard zonation - a review of principles and practise. UNESCO Paris
23. Zhou W (1999) Verification of the nonparametric characteristics of backpropagation neural networks for image classifications. IEEE Trans Geosci Remote Sens 37(2):771-779