Landslide susceptibility zonation of the Chamoli region, Garhwal Himalayas, using logistic regression model

Landslides

Volumn 7, Issue 4, 2010, Pages 411-423

  Chauhan, Shivani ^a   Sharma, Mukta ^a   Arora, Manoj K ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY ROORKEE   (India)

Author keywords

GIS; Landslide susceptibility; Logistic regression; Remote sensing; Thematic data

Indexed keywords

DRAINAGE DENSITY; GIS; HIMALAYAS; LAND USE/COVER; LANDSLIDE SUSCEPTIBILITY; LOGISTIC REGRESSION; LOGISTIC REGRESSION MODELS; LOGISTIC REGRESSIONS; PHYSICAL FACTORS; THEMATIC DATA;

GEOGRAPHIC INFORMATION SYSTEMS; LITHOLOGY; REGRESSION ANALYSIS; REMOTE SENSING;

LANDSLIDES;

GIS; LAND COVER; LAND USE; LANDSLIDE; LITHOLOGY; LOGISTICS; REGRESSION ANALYSIS; REMOTE SENSING; THEMATIC MAPPING; ZONATION;

CHAMOLI; INDIA; UTTARAKHAND;

EID: 78649333787     PISSN: 1612510X     EISSN: 16125118     Source Type: Journal    
DOI: 10.1007/s10346-010-0202-3     Document Type: Article

References (32)

1. Aleotti P, Chowdhury R (1999) Landslide hazard assessment: summary review and new perspectives. Bull Eng Geol Environ 58(1): 21-44.
2. Anbalagan R (1992) Landslide susceptibility evaluation and zonation mapping in mountainous terrain. Eng Geol 32: 269-277.
3. Ayalew L, Yamagishi H (2005) The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan. Geomorphology 65: 15-31.
4. Begueria S, Lorente A (2002) Landslide susceptibility mapping by multivariate statistics: comparison of methods and case study in the Spanish Pyrenees. Technical report, Instituto Pirenaico de Ecologia, Zaragoza, Spain.
5. Chen Z, Wang J (2007) Landslide hazard mapping using logistic regression model in Mackenzie Valley Canada. Nat Hazards 42: 75-89.
6. Clerici A, Dall'Olio N (1995) La realizzazione di una carta della stabilità potenziale dei versanti mediante tecniche di analisi statistica multivariata e un Sistema d'Informazione Geografica. Journ Tech Environ Geol 4: 49-57.
7. Dai FC, Lee CF (2002) Landslide characteristics and slope instability modelling using GIS. Lantau Island, Hong Kong. Geomorphology 42: 213-238.
8. Dai FC, Lee CF, Li J, Xu ZW (2001) Assessment of landslide hazard on the natural terrain of Lantau Island, Hong Kong. Environ Geol 40: 381-391.
9. Gobin A, Campling P, Feyen J (2001) Logistic modelling to identify and monitor local land management systems. Agric Syst 67: 1-20.
10. Gorsevski PV, Gessler P, Foltz RB (2000) Spatial prediction of landslide susceptibility using logistic regression and GIS. In Proceedings of 4th International Conference on integrating GIS and environmental modelling: problems, prospects and research needs, Banff, Alberta, 2-8.
11. Hosmer D, Lemeshow S (1989) Applied logistic regression. Wiley, New York.
12. Lee S (2005) Application of logistic regression model and its validation for landslide susceptibility mapping using GIS and remote sensing data. Int J Remote Sens 26: 1477-1491.
13. Lin ML, Tung CC (2003) A GIS-based potential analysis of the landslides induced by the Chi-Chi earthquake. Eng Geol 71: 63-77.
14. Mathew J, Jha VK, Rawat GS (2005) Application of binary logistic regression analysis and its validation for landslide hazard mapping in part of Garhwal Himalaya, India. Int J Remote Sens 28: 2257-2275.
15. Mathew J, Jha VK, Rawat GS (2009) Landslide susceptibility zonation mapping and its validation in part of Garhwal Lesser Himalaya, India, using binary logistic regression analysis and receiver operating characteristic curve method. Landslides 6: 17-26.
16. Ohlmacher CG, Davis JC (2003) Using multiple logistic regression and GIS technology to predict landslide susceptibility in northeast Kansas, USA. Eng Geol 69: 331-343.
17. O' Leary DW, Friedman JD, Pohn HA (1976) Lineament, linear and lineation: some proposed new standards for old terms. Bull Geol Soc Am 87: 1463-1469.
18. Saha AK, Gupta RP, Arora MK (2002) GIS based landslide susceptibility zonation in part of the Himalayas. Int J Remote Sens 23: 357-369.
19. Saha AK, Gupta RP, Sarkar I, Arora MK, Csaplovics E (2005) An approach for GIS based statistical landslide susceptibility zonation-with a case study in Himalayas. Landslides 2: 61-69.
20. Sarkar S, Kanungo DP (2004) An integrated approach for landslide susceptibility mapping using remote sensing and GIS. Photogramm Eng Remote Sens 70(5): 617-625.
21. Sharma M, Kumar R (2008) GIS-based landslide hazard zonation: a case study from the Parwanoo area, Lesser and Outer Himalaya, H. P., India. Bull Eng Geol Environ 67: 129-137.
22. Soeters R, van Westen CJ (1996) Slope instability recognition analysis and zonation. In: Turner KT, Schuster RL (eds) Landslides: investigation and mitigation. Special Report No. 247, pp 129-177, Transportation Research Board National Research Council, Washington, DC.
23. Suzen ML (2002) Data driven landslide hazard assessment using geographical information system and remote sensing. Ph. D. Thesis, Middle East Technical Univesity, Turkey, p 196.
24. Süzen ML, Doyuran V (2003) A comparison of the GIS based landslide susceptibility assessment methods: multivariate versus bivariate. Environ Geol 45: 665-679.
25. Swets JA (1988) Measuring the accuracy of diagnostic systems. Science 240: 1285-1293.
26. Valdiya KS (1980) Geology of Kumaon lesser Himalayas. Wadia Institute of Himalayan Geology, Dehradun, India, p 291.
27. van Den Eeckhaut M, Vanwalleghem T, Poesen J, Govers G, Verstraeten G, Vandekerckhove L (2006) Prediction of landslide susceptibility using rare events logistic regression-a case-study in the Flemish Ardennes (Belgium). Geomorphology 76: 392-410.
28. Vanwalleghem T, van Den Eeckhaut M, Poesen J, Govers G, Deckers J (2008) Spatial analysis of factors controlling the presence of closed depressions and gullies under forest: application of rare event logistic regression. Geomorphology 95 15: 504-517.
29. van Westen CJ, Rengers N, Terlien MTJ, Soeters R (1997) Prediction of the occurrence of slope instability phenomena through GIS based hazard zonation. Geol Rundsch 86: 404-414.
30. Williams CJ, Lee SS, Fisher RA, Dickerman LH (1999) A comparison of statistical methods for prenatal screening for down syndrome. Appl Stoch Models Data Anal 15: 89-101.
31. Yesilnacar E, Topal T (2005) Landslide susceptibility mapping: a comparison of logistic regression and neural networks methods in a medium scale study, Hendek region (Turkey). Eng Geol 79: 251-266.
32. Yin KL, Yan TZ (1988) Statistical prediction model for slope instability of metamorphosed rocks. In: Bonnard C (ed) Proceedings of the 5th International Symposium on Landslides, Lausanne. Balkema, Rotterdam, Vol. 2, pp 1269-1272.