4.2 Article

Pan-European landslide susceptibility mapping: ELSUS Version 2

Journal

JOURNAL OF MAPS
Volume 14, Issue 2, Pages 97-104

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1080/17445647.2018.1432511

Keywords

ELSUS; landslide susceptibility mapping; Europe; heuristic model

Funding

  1. Albanian Geological Survey (AGS)
  2. Geologische Bundesanstalt, Austria (GBA)
  3. British Geological Survey (BGS)
  4. Environment, Nature and Energy Department, Flemish Government, Belgium (LNE)
  5. Czech Geological Survey (CGS)
  6. Bureau de Recherches Geologiques et Minieres, France (BRGM)
  7. Office National des Forets/Service de Restauration des Terrain en Montagne, France (ONF/RTM, Direction de l'Environnement et des Risques Naturels)
  8. Sachsisches Landesamt fur Umwelt, Landwirtschaft und Geologie, Germany (LfULG)
  9. Bayerisches Landesamt fur Umwelt, Germany (LFU)
  10. Landesamt fur Umwelt, Naturschutz und Geologie MV, Germany (LUNG)
  11. Institute of Geology and Mineral Exploration, Greece (IGME)
  12. Hungarian Office for Mining and Geology (BMFH)
  13. Geological Survey of Ireland (GSI)
  14. Instituto de Geografia e Ordenamento do Territorio, University of Lisbon, Portugal (IGOT)
  15. Geological Survey of Norway (NGU)
  16. Institute of Geography, Romanian Academy (IGAR)
  17. Geological Survey of the Slovak Republic (SGUDS)
  18. Swedish Geotechnical Institute (SGI)
  19. Federal Office for the Environment, Switzerland (FOEN/BAFU)
  20. Council of Europe/EUR-OPA Major Hazards Agreement through the European Centre on Seismological and Geomorphological Hazards (CERG) project

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We present an updated version of the European landslide susceptibility map ELSUS 1000 released through the European Soil Data Centre in 2013. The ELSUS V2 map shows the landslide susceptibility zonation for individual climate-physiographic zones across Europe. ELSUS V2 covers a larger area of Europe than ELSUS 1000 at a higher spatial resolution (200x200 m). The updated map was prepared using the same semi-quantitative method as for ELSUS 1000, combining landslide frequency ratios information with a spatial multi-criteria evaluation model of three thematic predictors: slope angle, shallow subsurface lithology and land cover. However, the new map was prepared using also: (i) an extended landslide inventory, containing 30% of additional locations for model calibration, map validation and classification and (ii) a new lithological data set derived from the International Hydrogeological Map of Europe (IHME). The new version of the map increases the overall predictive performance of ELSUS by 8 %.

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