Skip to main content

Landslide Disaster Management and Reduction: An Approach Through Remote Sensing and GIS

  • Conference paper
  • First Online:
  • 1679 Accesses

Part of the book series: Advances in Geographical and Environmental Sciences ((AGES))

Abstract

It is fact that, landslide disaster is the most significant hazard in the mountainous regions. These natural phenomena have resulted damage to engineering structures and loss to human life all over the world. Identification of potential instability problems in the initial stage of investigation may not only lead to delineation of landslide disaster zones but will also help to evolve possible remedial measures which may either be adopted to improve the slope stability condition or such problematic zones may be avoided for human settlement and any other developmental activities.

Remote sensing and GIS is a very useful tool in delineating area into various potential instability zones over a wide area. Information and data on all such aspects over a wide area can be abstracted by utilizing remotely sensed data and through GIS application tools. To understand the possible mechanism of landslide and relative contribution of various factors in inducing instability to slopes, it is required to study the past landslide activities. Later, the collected data has to be arranged and prepared into layered spatial GIS database for landslide hazard mapping. Some of the governing parameters; aspect, slope, curvature and elevation can be calculated from the digital elevation model (DEM) of the area, which can be obtained from the ASTER elevation data set. The slope material and land use/cover maps can be processed from Land sat + ETM satellite using different digital image processing procedures. Further, GIS based statistical and probability approach can be used to rate the governing parameters and then customized raster calculation can be applied to develop the landslide hazard map. Thus, Remote sensing and GIS application not only facilitate in identifying the potential landslide hazard over the area but it also helps in disaster management and reduction by provided information on possible degree of hazard with spatial distribution. Such information will be vital to mitigate the hazard and to foresee the anticipated adverse conditions which may adversely affect the safety of people and property.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  • Anbalagan R (1992) Landslide hazard evaluation and zonation mapping in mountainous terrain. Eng Geol 32:269–277

    Article  Google Scholar 

  • Ayalew L, Yamagishi H, Ugawa N (2004) Landslide susceptibility mapping using GIS-based weighted linear combination, the case in Tsugawa area of Agano River, Niigata Prefecture, Japan. Landslides 1:73–81

    Article  Google Scholar 

  • Ayenew T, Barbieri G (2005) Inventory of landslides and susceptibility mapping in the Dessie area, Northern Ethiopia. Eng Geol 77:1–15

    Article  Google Scholar 

  • Bommer JJ, Rodrı’guez CE (2002) Earthquake-induced landslides in Central America. Eng Geol 63:189–220

    Article  Google Scholar 

  • Carrara A, Cardinali M, Guzzetti F (1992) Uncertainty in assessing landslide hazard and risk. ITC J 2:172–183

    Google Scholar 

  • Casagli N, Catani F, Puglisi C, Delmonaco G, Ermini L, Margottini C (2004) An inventory-based approach to landslide susceptibility assessment and its application to the Virginio River Basin, Italy. Environ Eng Geosci 10(3):203–216

    Article  Google Scholar 

  • Clerici A (2002) A GRASS GIS based shell script for landslide susceptibility zonation by the conditional analysis method. In: Proceedings of the Open source GIS—GRASS Users Conference 2002—Trento, Italy, 11–13 September 2002, pp 1–17

    Google Scholar 

  • Dahal RK, Hasegawa S, Masuda T, Yamanaka M (2006) Roadside slope failures in Nepal during torrential rainfall and their mitigation. In: Marui et al (eds) Disaster mitigation of debris flows, slope failures and landslides. Universal Academy Press, Tokyo, pp 503–514

    Google Scholar 

  • Dai FC, Lee CF (2001) Terrain-based mapping of landslide susceptibility using a geographical information system: a case study. Can Geotech J 38:911–923

    Article  Google Scholar 

  • Dai FC, Lee CF (2002) Landslide characteristics and slope instability modeling using GIS, Lantau Island, Hong Kong. Geomorphology 42:213–228

    Article  Google Scholar 

  • Dai FC, Lee CF, Ngai YY (2002) Landslide risk assessment and management: an overview. Eng Geol 64:65–87

    Article  Google Scholar 

  • Fall M, Azzam R, Noubactep C (2006) A multi-method approach to study the stability of natural slopes and landslide susceptibility mapping. Eng Geol 82:241–263

    Article  Google Scholar 

  • Gorsevski PV, Jankowski P, Gessler PE (2006) An heuristic approach for mapping landslide hazard by integrating fuzzy logic with analytic hierarchy process. Contr Cybern 35:121–146

    Google Scholar 

  • Guzzetti F, Carrara A, Cardinali M, Reichenbach P (1999) Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, central Italy. Geomorphology 31(1–4):181–216

    Article  Google Scholar 

  • Kanungo DP, Arora MK, Sarkar S, Gupta RP (2006) A comparative study of conventional, ANN black box, fuzzy and combined neural and fuzzy weighting procedures for landslide susceptibility zonation in Darjeeling Himalayas. Eng Geol 85:347–366

    Article  Google Scholar 

  • Keefer DK (1984) Landslides caused by earthquakes. Geol Soc Am Bull 95:406–421

    Article  Google Scholar 

  • Keefer DV (2000) Statistical analysis of an earthquake-induced landslide distribution-the 1989 Loma Prieta, California event. Eng Geol 58:231–249

    Article  Google Scholar 

  • Lee S, Min K (2001) Statistical analysis of landslide susceptibility at Yongin, Koria. Environ Geol 40:1095–1113

    Article  Google Scholar 

  • Leroi E (1997) Landslide risk mapping: problems, limitation and developments. In: Cruden F (ed) Landslide risk assessment. Balkema, Rotterdam, pp 239–250

    Google Scholar 

  • Luzi L, Floriana P (1996) Application of statistical and GIS techniques to slope instability zonation (a:50,000 Fabriano geological map sheet). Soil Dyn Earthquake Eng 15:83–94

    Article  Google Scholar 

  • Malamud BD, Turcotte DL, Guzzetti F, Reichenbach P (2004) Landslide inventories and their statistical properties. Earth Surf Proc Land 29:687–711

    Article  Google Scholar 

  • Mario PM, Jibson RW (2000) A seismic landslide susceptibility rating of geologic units based on analysis of characteristics of landslides triggered by the 17 January, 1994 Northridge, California earthquake. Eng Geol 58:251–270

    Article  Google Scholar 

  • Pachauri AK, Pant M (1992) Landslide hazard mapping based on geological attributes. Eng Geol 32:81–100

    Article  Google Scholar 

  • Pan X, Nakamura H, Nozaki T, Huang X (2008) A GIS-based landslide hazard assessment by multivariate analysis. Landslides 45:187–195

    Article  Google Scholar 

  • Raghuvanshi TK, Ibrahim J, Ayalew D (2013) Slope stability susceptibility evaluation parameter (SSEP) rating scheme – an approach for landslide hazard zonation 24th Colloquium of African Geology (CAG24) “40 years of GSAf (1973–2013): Earth Sciences Solutions to African Development challenges” – an international conference, January 8–14, 2013, Addis Ababa, Ethiopia

    Google Scholar 

  • Sarkar S, Kanungo DP, Mehrotra GS (1995) Landslide hazard zonation: a case study in Garhwal Himalaya. India Mt Res Dev 15(4):301–309

    Article  Google Scholar 

  • Schuster RL, Fleming RW (1986) Economic losses and fatalities due to landslides. Bull Am Assoc Eng Geol 23(1):11–28

    Google Scholar 

  • Turner KA, Schuster RL (1996) Landslide investigation and mitigation. Transportation research board, National Research Council. Special Report 247, p 12

    Google Scholar 

  • Turrini CT, Visintainer P (1998) Proposal of a method to define areas of landslide hazard and application to an area of the Dolomites. Italy Eng Geol 50:255–265

    Article  Google Scholar 

  • Van Den Eeckhaut MM, Reichenbach P, Guzzetti F, Rossi M, Poesen J (2009) Combined landslide inventory and susceptibility assessment based on different mapping units: an example from the Flemish Ardennes, Belgium. Nat Hazards Earth Syst Sci 9:507–521

    Article  Google Scholar 

  • Van Westen CJ (1994) GIS in landslide hazard zonation: a review, with examples from the Andes of Colombia. In: Price MF, Heywood DI (eds) Mountain environments and geographic information systems. Taylor and Francis Publishers, London, pp 135–166

    Google Scholar 

  • Varnes DJ (1984) Landslide hazard zonation: a review of principles and practice. UNESCO, Paris, pp 1–63

    Google Scholar 

  • Wang X, Niu R (2009) Spatial forecast of landslides in three Gorges based on spatial data mining. Sensors 9:2035–2061

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to P. M. Kala .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Japan

About this paper

Cite this paper

Raghuvanshi, T.K., Kala, P.M., Singh, M. (2014). Landslide Disaster Management and Reduction: An Approach Through Remote Sensing and GIS. In: Singh, M., Singh, R., Hassan, M. (eds) Landscape Ecology and Water Management. Advances in Geographical and Environmental Sciences. Springer, Tokyo. https://doi.org/10.1007/978-4-431-54871-3_3

Download citation

Publish with us

Policies and ethics