Advertisement

Open image in new windowSynoptic Pan-European Landslide Susceptibility Assessment: The ELSUS 1000 v1 Map

  • Andreas GüntherEmail author
  • Javier Hervás
  • Miet Van Den Eeckhaut
  • Jean-Philippe Malet
  • Paola Reichenbach
Conference paper

Abstract

In order to identify areas in Europe susceptible to landslides in the context of the EU Soil Thematic Strategy and the associated Proposal for a Soil Framework Directive, a harmonised approach encompassing geographically-nested susceptibility assessments (“Tiers”) and, where possible, the use of comparable datasets as input criteria for susceptibility modelling was devised. The first version of the 1 km grid size European Landslide Susceptibility Map (ELSUS 1000 v1), covering the EU and neighbouring countries, is derived from “Tier 1” assessment. The mapping approach employed includes first a climate-physiographic regionalisation of the study area. For each region, a spatial multi-criteria evaluation model is established to evaluate landslide susceptibility using commonly available pan-European datasets on slope angle, lithology and land cover, which are considered as the main conditioning factors for all types of landslides at this scale. Factor weights are assigned through pairwise comparisons using analytical hierarchy processes for each region, while region-specific factor class weights are initially established by computing landslide frequency ratios using more than 102,000 landslide locations across Europe. For each model region, a pixel-based susceptibility index is calculated by linear summation of conditioning factor weights and factor class weights. Each index map is then evaluated and classified into five susceptibility levels using true positive ratio breaks derived from receiver operating characteristics curves obtained with the landslide inventory. Finally, the region-specific classified susceptibility maps are spatially combined into the synoptic ELSUS 1000 v1 map. The map is available from the European Soil Data Centre (ESDAC), hosted by the Joint Research Centre, together with ancillary datasets, including a reliability evaluation of the susceptibility map. Further work is in progress to improve the accuracy of the map, mainly by integrating into the assessment a new pan-European lithological dataset and further landslide locations for areas not represented in the current inventory.

Keywords

Landslides Soil thematic strategy Landslide susceptibility assessment ELSUS 1000 Europe 

Notes

Acknowledgements

This work has been carried out in the framework of the Joint Research Centre-coordinated European Landslide Expert Group’s support to the EU Soil Thematic Strategy. It also forms part of the International Programme on Landslides project IPL-162 “Tier-based harmonised approach for landslide susceptibility mapping over Europe” and of the Council of Europe’s EUR-OPA project “Pan-European and nation-wide landslide susceptibility assessment”, coordinated by the European Centre on Geomorphological Hazards (CERG).

We are grateful for the support of the following institutions and persons providing basic information on landslides from their national or regional databases: Albanian Geological Survey (AGS, M. Jusufati) Geologische Bundesanstalt, Austria (GBA, N. Tilch), British Geological Survey (BGS, C. Dashwood), Environment, Nature and Energy Department, Flemish Government, Belgium (LNE, L. Vandekerckhove), Czech Geological Survey (CGS, D, Čápová), Bureau de Recherches Géologiques et Minières, France (BRGM, G. Grandjean), Sächsisches Landesamt für Umwelt, Landwirtschaft und Geologie, Germany (LfULG, P. Dommaschk), Bayerisches Landesamt für Umwelt (LFU, A. von Poschinger and T. Gallemann), Landesamt für Umwelt, Naturschutz und Geologie MV (LUNG, K. Schütze), Institute of Geology and Mineral Exploration, Greece (IGME, E. Poyiadji), Hungarian Office for Mining and Geology (BMFH, T. Oszvald), Geological Survey of Ireland (GSI, R. Creighton), Instituto de Geografia e Ordenamento do Território, University of Lisbon, Portugal (IGOT, J.L. Zêzere), Geological Survey of Norway (NGU, T. Oppikofer and R. Hermanns), Swedish Geotechnical Institute (SGI, M. Öberg and C. Cederbom), and Federal Office for the Environment, Switzerland (FOEN/BAFU, H. Raetzo and B. Loup).

We also thank P. Panagos and M. Van Liedekerke (JRC Ispra, Italy) for publishing the maps on ESDAC.

References

  1. EC (2006a) Thematic Strategy for Soil Protection. Communication from the Commission to the Council, the European Parliament, the European Economic and Social Committee and the Committee of the Regions. COM(2006)231 final. Commission of the European Communities, Brussels, Belgium. 12p.Google Scholar
  2. EC (2006b) Proposal for a Directive of the European Parliament and of the Council establishing a framework for the protection of soil and amending Directive 2004/35/EC. COM(2006)232 final. Commission of the European Communities, Brussels, Belgium. 30p.Google Scholar
  3. Eckelmann W, Baritz R, Bialousz S, Bielek P, Carré F, Houšková B, Jones RJA, Kibblewhite MG, Kozak J, Le Bas C, Tóth G, Tóth T, Várallyay G, Yli Halla M, Zupan M (2006) Common criteria for risk area identification according to soil threats. European Soil Bureau Research Report No. 20, EUR 22185 EN. Office for Official Publications of the European Communities, Luxembourg, 94p.Google Scholar
  4. ESPON (2013) Territorial Dynamics in Europe – Natural Hazards and Climate Change in European Regions. Territorial Observation No. 7. ESPON, Luxembourg, 27p.Google Scholar
  5. Gilbrich WH, Krampe K, Winter P (2001) Internationale Hydrogeologische Karte von Europa 1:1.500.000. Bemerkungen zum Inhalt und Stand der Bearbeitung. Hydrologie und Wasserbewirtschaftung 45(3):122–125Google Scholar
  6. Günther A, Reichenbach P, Hervás J (2008) Approaches for delineating areas susceptible to landslides in the framework of the European Soil Thematic Strategy. In: Proceedings of the first World Landslide Forum, Tokyo, 18–21 November 2008. pp 235–238Google Scholar
  7. Günther A, Reichenbach P, Malet J-P, Van Den Eeckhaut M, Hervás J, Dashwood C, Guzzetti F (2013a) Tier-based approaches for landslide susceptibility assessment in Europe. Landslides 10(5):529–546CrossRefGoogle Scholar
  8. Günther A, Van Den Eeckhaut M, Reichenbach P, Hervás J, Malet J-P, Foster C, Guzzetti F (2013b) New developments in harmonized landslide susceptibility mapping over Europe in the framework of the European soil thematic strategy. In: Margottini C, Canuti P, Sassa K (eds) Landslides science and practice, vol 1. Springer, Heidelberg, pp 297–301CrossRefGoogle Scholar
  9. Günther A, Van Den Eeckhaut M, Malet J-P, Reichenbach P, Hervás J (2014) Climate-physiographically differentiated pan-European landslide susceptibility assessment using spatial multi-criteria evaluation and transnational landslide information. Geomorphology (in press)Google Scholar
  10. Hervás J, Günther A, Reichenbach P, Chacón J, Pasuto A, Malet J-P, Trigila A, Hobbs P, Maquaire O, Tagliavini F, Poyiadji E, Guerrieri L, Montanarella L (2007) Recommendations on a common approach for mapping areas at risk of landslides in Europe. In: Hervás J (ed) Guidelines for mapping areas at risk of landslides in Europe. JRC Report EUR 23093 EN. Office for Official Publications of the European Communities, Luxembourg, pp 45–49Google Scholar
  11. Hervás, J, Günther A, Reichenbach P, Malet J-P, Van Den Eeckhaut, M (2010) Harmonised approaches for landslide susceptibility mapping in Europe. In: Malet J-P, Glade T, Casagli N (eds) Proceedings of the international conference on mountain risks: bringing science to society, Florence, Italy, 24–26 November 2010. CERG Editions, Strasbourg, pp 501–505Google Scholar
  12. Hong Y, Adler R, Huffman G (2007) Use of satellite remote sensing data in the mapping of global landslide susceptibility. Nat Hazards 43:245–256CrossRefGoogle Scholar
  13. Jaedicke C, Van Den Eeckhaut M, Nadim F, Hervás J, Kalsnes B, Vangelsten BV, Smith JT, Tofani V, Ciurean R, Winter MG, Sverdrup-Thygeson K, Syre E, Smebye H (2013) Identification of landslide hazard and risk ‘hotspots’ in Europe. Bull Eng Geol Environ. doi: 10.1007/s10064-013-0541-0 Google Scholar
  14. Malet J-P, Puissant A, Mathieu A, Van Den Eeckhaut M, Fressard M (2013) Integrating spatial multi-criteria evaluation and expert knowledge for country-scale landslide susceptibility analysis: application to France. In: Margottini C, Canuti P, Sassa K (eds) Landslides science and practice, vol 1. Springer, Heidelberg, pp 303–311Google Scholar
  15. Malet J-P, Puissant A, Mathieu A, Van Den Eeckhaut M, Fressard M (2014) Landslide susceptibility assessment at 1:1M scale for France. Geomorphology: 15p (under review)Google Scholar
  16. Nadim F, Kjekstad O, Peduzzi P, Herold C, Jaedicke C (2006) Global landslide and avalanche hotspots. Landslides 3(2):159–173CrossRefGoogle Scholar
  17. Nordregio (2004) Mountain areas in Europe, analysis of mountain areas in EU member states, acceding and other European countries. Report 2004.1. Nordic Centre for Spatial Development, Stockholm, Sweden, 271pGoogle Scholar
  18. Panagos P, Van Liedekerke M, Jones A, Montanarella L (2012) European Soil Data Centre: response to European policy support and public data requirements. Land Use Pol 29(2):329–338CrossRefGoogle Scholar
  19. Peel MC, Finlayson BL, McMahon TA (2007) Updated world map of the Köppen-Geiger climate classification. Hydrol Earth Syst Sci 11(5):1633–1644CrossRefGoogle Scholar
  20. Reuter H (2009) A Europe-wide digital elevation model based on SRTM and Russian topographic contours. Data set and documentation for the contract 2007-4500049350. BGR, Hannover, GermanyGoogle Scholar
  21. Saaty TL (1980) The analytic hierarchy process. McGraw Hill, New York, 287pGoogle Scholar
  22. Van Den Eeckhaut M, Hervás J, Jaedicke C, Malet J-P, Montanarella L, Nadim F (2012) Statistical modelling of Europe-wide landslide susceptibility using limited landslide inventory data. Landslides 9(3):357–369CrossRefGoogle Scholar
  23. Voogd H (1983) Multi-criteria evaluation for urban and regional planning. Pion, London, 367pGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Andreas Günther
    • 1
    Email author
  • Javier Hervás
    • 2
  • Miet Van Den Eeckhaut
    • 3
  • Jean-Philippe Malet
    • 4
  • Paola Reichenbach
    • 5
  1. 1.Federal Institute for Geosciences and Natural Resources (BGR)HannoverGermany
  2. 2.Institute for Environment and Sustainability, Joint Research Centre (JRC), European CommissionIspraItaly
  3. 3.ARCADISBrusselsBelgium
  4. 4.Institut de Physique du Globe de Strasbourg, CNRSUniversity of StrasbourgStrasbourgFrance
  5. 5.Research Institute for Hydrogeological Protection (CNR-IRPI)National Research CouncilPerugiaItaly

Personalised recommendations