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Journal of the Geological Society of India

, Volume 95, Issue 1, pp 45–58 | Cite as

Generating Substantially Complete Landslide Inventory using Multiple Data Sources: A Case Study in Northwest Himalayas, India

  • T. GhoshEmail author
  • S. Bhowmik
  • P. Jaiswal
  • S. Ghosh
  • D. Kumar
Research Articles
  • 12 Downloads

Abstract

Landslide inventory contains basic information about landslides such as location, classification, morphometry, volume, run-out distance, activity, date of occurrence, damages caused etc. In most landslide inventory maps only spatio-temporal distribution of slope failures is shown. A complete portrayal of landslide inventory, both in number of landslides mapped and associated attributes such as morphometry, classification etc. is a must as it has bearing on the estimation of landslide susceptibility, hazard and risk. Despite of its enormous importance, landslide inventory is rarely found to be complete. This can be attributed to limited availability of requisite data and the inherent uncertainties in landslide inventory mapping from different sources and importantly the insufficient field inputs. In the present work in the Mandakini valley of Uttarakhand Himalayas attempts have been made to prepare a substantially complete landslide inventory, both in terms of number of landslides and attributes, using multifarious data sources substantiated with thorough field checks. Supplementary historical data sources along with the conventional data sources have been used to prepare the inventory. The approach followed includes pre-field mapping of landslides from different Earth Observation (EO) data followed by interpretation of archival records and detailed field surveys. The data available for the period 1962 to 2013 were used to build up the inventory database in GIS. A total of 644 landslides have been mapped and attributed using conventional EO data and also the different supplementary data sources for an area covering 400 sq. km. An inventory of 151 landslides prepared from EO data have been confirmed and updated during the field study. Finally, the detailed landslide inventory prepared during the course of this study was analysed to understand the behaviour of landslides and role of triggering factors in susceptibility mapping and the geo-environmental conditions governing the magnitude of the event.

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References

  1. Aleotti P. (2004) A warning system for rainfall-induced shallow failures. Engg. Geol., v.73, pp.247–265.CrossRefGoogle Scholar
  2. Bhatnagar, P.S. (2008) Landslide Zonation studies along Badrinath and Kedarnath Yatra route, Tehri, Pauri, Rudraprayag and Chamoli Districts, Uttaranchal. Unpub. GSI report of FS 1999–2001.Google Scholar
  3. Bist, K.S. and Sah, M. P. (1999) The devastating landslide of August 1998 in Ukhimath area, Rudraprayag district, Garhwal Himalaya. Curr. Sci., v.6(4), pp.481–484.Google Scholar
  4. Brabb, E.E. and Harrod, B.L. (Eds.) (1989) Landslides: Extent and Economic Significance. A.A. Balkema Publisher, Rotterdam, 385p.Google Scholar
  5. Brardinoni, F., Slaymaker, O. and Hassan, M. (2003) Landslide inventory in a rugged forested watershed: a comparison between air-photo and field survey data. Geomorphology, v.54, pp.179–196.CrossRefGoogle Scholar
  6. Dapporto, S., Aleotti, P., Casagli, N. and Polloni, G. (2005) Analysis of shallow failures triggered by the 14–16 November 2002 event in the Albaredo valley, Valtellina (Northern Italy). Advan. Geociences, v.2, pp.305–308.CrossRefGoogle Scholar
  7. Devoli G., Morales A. and Hoeg A. (2007) Historical landslides in Nicaragua collection and analysis of data. Landslides, v.4(1), pp.5–18.CrossRefGoogle Scholar
  8. Dobhal, D.P., Gupta, A.K., Mehta, M. and Khandelwal, D.D., (2013). Kedarnath disaster: facts and plausible causes. Curr. Sci., v.105(2), pp.171–174.Google Scholar
  9. Dubey, C.S., Shukla, D.P., Ningreichon, A.S. and Usham, A.L. (2013). Orographic control of the Kedarnath disaster. Curr. Sci., v.105(5), pp.1474–1476.Google Scholar
  10. Fell, R., Corominas, J., Bonnard, C., Cascini, L., Leroi, E. and Savage, W.Z. (2008) Guidelines for landslide susceptibility, hazard and risk zoning for land-use planning. Engg. Geol., v.102, pp.99–111.CrossRefGoogle Scholar
  11. Ghosh, S., Carranza, E.J.M., van Westen, C.J., Jetten, V.G., Bhattacharyaa, D.N. (2011) Selecting and weighting spatial predictors for empirical modeling of landslide susceptibility in the Darjeeling Himalayas (India). Geomorphology, v.131, pp.35–56.CrossRefGoogle Scholar
  12. Ghosh S., van Westen, C.J., Carranza, E.J.M., Jetten, V.G., Cardinali, M., Rossi, M. and Guzzetti, F. (2012) Generating event-based landslide maps in a data-scarce Himalayan environment for estimating temporal and magnitude probabilities. Engg. Geol., v.128, pp.49–62.CrossRefGoogle Scholar
  13. Glade, T. (2001) Landslide hazard assessment and historical landslide data—an inseparable couple? in: Glade T., Albini P., Frances F., (Eds.), The use of historical data in natural hazard assessments—advances of technological and natural hazard research. Kluwer, Norwell, pp.153–169.CrossRefGoogle Scholar
  14. Glade T. and Crozier M.J. (1996) Towards a national landslide information base for New Zealand. N Z Geogr., v.52(1), pp.29–40.CrossRefGoogle Scholar
  15. Guthrie, R.H. and Evans, S.G. (2004a) Magnitude and frequency of landslides triggered by a storm event, Loughborough Inlet, British Columbia. Natural Hazards and Earth System Sciences, v.4, pp.475–483.CrossRefGoogle Scholar
  16. Guzzetti, F., Cardinali, M. and Reichenbach, P. (1994) The AVI Project: a bibliographical and archive inventory of landslides and floods in Italy. Environ. Managmt., v.18(4), pp.623–633.CrossRefGoogle Scholar
  17. Guzzetti F., Reichenbach P., Cardinali M., Galli M. and Ardizzonem F. (2005) Probabilistic landslide hazard assessment at the basin scale. Geomorphology, v.72, pp.272–299.CrossRefGoogle Scholar
  18. Guzzetti, F., Mondini, A.C., Cardinali, M., Fiorucci, F., Santangelo, M. and Chang, K.-T. (2012) Landslide inventory maps: New tools for an old problem. Earth Sci. Rev., v.112, pp.42–66.CrossRefGoogle Scholar
  19. Guzzetti, F. and Tonelli, G. (2004) Information system on hydrological and geomorphological catastrophes in Italy (SICI): a tool for managing landslide and flood hazards. Nat. Hazards Earth Syst. Sci., v.4, pp.213–232.CrossRefGoogle Scholar
  20. Islam, M.A., Chattoraj S.L. and Champati Ray P.K. (2014) Ukhimath landslide 2012 at Uttarakhand, India: Causes and consequences. Internat. Jour. Geomatics and Geosci., v.4(3), pp.554–557Google Scholar
  21. Jaiswal P., Ghosh T., Kumar H., Bhowmik S., Kumar P. and Ghosh S. (2016) Landslide compendium of Northwestern Himalayas. Geol. Surv. India, Spec. Publ., No.107.Google Scholar
  22. Jaiswal P., van Westen C.J. and Jetten V. 2010. Quantitative assessment of landslide hazard along transportation lines using historical records. Landslides, v.8(3), ppp.279–291CrossRefGoogle Scholar
  23. Jaiswal P. and van Westen C.J. (2009) Estimating temporal probability for landslide initiation along transportation routes based on rainfall thresholds. Geomorphology, v.112, pp.96–105.CrossRefGoogle Scholar
  24. Khan M.A. and Mishra P.S. (2012) Geology and mineral resources of the States of India, Geol. Surv. India Misc. Publ., No.30, Part-XIII: Uttar Pradesh and Uttarakhand.Google Scholar
  25. Martha, T.R. (2011) Detection of landslides by object-oriented image analysis. PhD Thesis.Google Scholar
  26. Martha, T.R., Govindharaj Babu, K. and Vinod Kumar, K. (2014) Damage and geological assessment of the 18 September 2011 Mw 6.9 earthquake in Sikkim, India using very high resolution satellite data. Geoscience Frontiers. doi: https://doi.org/10.1016/j.gsf.2013.12.011.CrossRefGoogle Scholar
  27. Martha, T.R., Kerle, N., Jetten, V., van Westen, C.J. and Kumar, K.V. (2010) Characterising spectral, spatial and morphometric properties of landslides for semi-automatic detection using object-oriented methods. Geomorphology, v.116(1–2), pp.24–36.CrossRefGoogle Scholar
  28. Martha, T.R., Roy P., Govindharaj Babu K., Vinod Kumar K., Diwakar P.G., Dadhwal V.K. (2015) Landslides triggered by the June 2013 extreme rainfall event in parts of Uttarakhand state, India. Landslides, v.12, pp.135–146.CrossRefGoogle Scholar
  29. Mirco Galli, Francesca Ardizzone, Mauro Cardinali, Fausto Guzzetti, Paola Reichenbach (2008) Comparing landslide inventory maps. Geomorphology, v.94, pp.268–289.CrossRefGoogle Scholar
  30. Nadim F., Kjekstad O., Peduzzi P., Herold C. and Jaedicke C. (2006) Global landslides and avalanche hotspots. Landslides, v.3, pp.159–173.CrossRefGoogle Scholar
  31. Naithani, A.K., Kumar, D. and Prasad, C., (2002) The catastrophic landslide of 16 July 2001 in Phata Byung area, Rudraprayag District, Garhwal Himalaya, India. Curr.Sci., v.82(8), pp.921–923.Google Scholar
  32. Naithani, A.K. and Prasad, C. (1997). Landslide hazard zonation mapping in the Okhimath Kedarnath area, Garhwal Himalaya. Geol. Surv. India Spec. Publ. v.48(2), pp.37–42.Google Scholar
  33. NIDM: India Disaster Report 2013 by National Institute of Disaster Management (NIDM). NIDM webpage http://nidm.gov.in/books.asp (accessed on 23.05.2017)
  34. Poonama, Rana, N., Champati ray, P.K., Bisht, P., Bagri, D.S., Wasson, R.J., Sundriyal, Y. (2017) Identification of landslide-prone zones in the geomorphically and climatically sensitive Mandakini valley, (central Himalaya), for disaster governance using the Weights of Evidence method. Geomorphology, v.284, pp.41–52.CrossRefGoogle Scholar
  35. Prakash, S. and Kathait, A. (2014) A Selected Annotated Bibliography and Bibliography on Landslides in India, National Institute of Disaster Management, Ministry of Home Affairs, Govt. of India.Google Scholar
  36. Rawat U.S. and Rawat J.S. (1998) A report on geotechnical reconnaissance of the excessive landsliding in August, 1998 near Okhimath, Rudraprayag district, U.P. Unpubld. Geol. Surv. India Report of FS 1997–1998.Google Scholar
  37. Stark C.P. and Hovius N. (2001) The characterization of landslide size distributions. Geophys. Res. Lett., v.28(6), pp.1091–1094.CrossRefGoogle Scholar
  38. Taylor, F. E., Malamud, B. D., Freeborough, K. and Demeritt, D. (2015) Enriching Great Britain’s National Landslide Database by searching newspaper archives. Geomorphology, v.249, pp.52–68.CrossRefGoogle Scholar
  39. Thapliyal A.P., Mandal J., Lakshmanan K., Rawat P.V.S., Bahuguna H. and Tripathi S.K. (2014) Preliminary slope stability assessment of disaster affected areas of Rudraprayag district, Uttarkahand. Unpubld. Geol. Surv. India Report of FS 2013–2014.Google Scholar
  40. Trigila, A., Iadanza, C., Spizzichino, D. (2010) Quality assessment of the Italian landslide inventory using GIS processing. Landslides, v.7, pp.455–470.CrossRefGoogle Scholar
  41. Uniyal, A. (2013). Lessons from Kedarnath Tragedy of Uttarakhand Himalaya, India. Curr. Sci., v.105(5), pp.1472–1474.Google Scholar
  42. Van Westen, C.J., Asch, T.W.J. and Soeters, R. (2006) Landslide hazard and risk zonation-why is it still so difficult? Bull. Engg. Geol. Environ., v.65, pp.67–184.Google Scholar
  43. Wieczorek G.F. (1984) Preparing a detailed landslide-inventory map for hazard evaluation and reduction. Bull. Assoc. Engg. Geol., v.21(3), pp.337–342.Google Scholar

Copyright information

© GEOL. SOC. INDIA 2020

Authors and Affiliations

  • T. Ghosh
    • 1
    Email author
  • S. Bhowmik
    • 1
  • P. Jaiswal
    • 2
  • S. Ghosh
    • 3
  • D. Kumar
    • 4
  1. 1.Photogeology and Remote Sensing DivisionGeological Survey of IndiaKolkataIndia
  2. 2.Landslide Studies Division, Geohazards Research & Management CentreGeological Survey of IndiaKolkataIndia
  3. 3.Engineering Project Evaluation (EPE) Division, DGCOGeological Survey of IndiaNew DelhiIndia
  4. 4.State Unit: Uttarakhand, Patel NagarGeological Survey of IndiaDehradun, UttarakhandIndia

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