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dc.contributor.authorBornaetxea Estela, Txomin ORCID
dc.contributor.authorRemondo, Juan
dc.date.accessioned2023-12-14T18:33:03Z
dc.date.available2023-12-14T18:33:03Z
dc.date.issued2023-07
dc.identifier.citationNatural Hazards 118 : 2513-2542 (2023)es_ES
dc.identifier.issn1573-0840
dc.identifier.issn0921-030X
dc.identifier.urihttp://hdl.handle.net/10810/63383
dc.description.abstractSimilar to many mountainous regions of the world, landslides are a recurrent geological hazard in the Gipuzkoa province (northern Spain) that commonly cause damage to communication infrastructure, such as roads and railways. This geomorphological process also threatens buildings and human beings, albeit to a lesser degree. Over time, different institutions and academic research groups have individually collected crucial information on historic and ancient landslides in this region, resulting in various landslide inventories. However, these inventories have not been collectively assessed, and their suitability for landslide susceptibility modelling projects has often been assumed without comprehensive evaluation. In this study, we propose a simplified method to explore, describe, and compare the various landslide inventories in a specific study area to assess their suitability for landslide susceptibility modelling. Additionally, we present the results of an illustrative experiment that demonstrates the direct effect of using different inventories in landslide susceptibility modelling through a data-driven approach. We found that out of the five digitally available inventories in the study area, only three provide sufficient guarantees to be used as input data for susceptibility modelling. Furthermore, we observed that each individual inventory exhibited inherent biases, which directly influenced the resulting susceptibility map. We believe that our proposed methods can be easily replicated in other study areas where multiple landslide inventory sources exist, and that our work will induce other researchers to conduct preliminary assessments of their inventories as a critical step prior to any landslide susceptibility modelling project.es_ES
dc.description.sponsorshipOpen Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. Txomin Bornaetxea is financially supported by the postdoctoral fellowship program of the Basque Govern- ment (Grant Numbers POS_2020_2_0010) and hosted by the University of the Basque Country (UPV/EHU, Group IT1678) in the framework of a scientific collaboration with the Geological Survey of Canada as well as his association with the Geomorphology Group of the Research Institute for the Geo-Hydrological Pro- tection in Perugia, Italian National Research Council (CNR-IRPI).es_ES
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectlandslide inventoryes_ES
dc.subjectlandslide susceptibility modeles_ES
dc.subjectGipuzkoa provincees_ES
dc.subjectdata availabilityes_ES
dc.titleExploring available landslide inventories for susceptibility analysis in Gipuzkoa province (Spain)es_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© The Author(s) 2023. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.es_ES
dc.rights.holderAtribución 3.0 España*
dc.relation.publisherversionhttps://link.springer.com/article/10.1007/s11069-023-06103-wes_ES
dc.identifier.doi10.1007/s11069-023-06103-w
dc.departamentoesGeologíaes_ES
dc.departamentoeuGeologiaes_ES


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© The Author(s) 2023. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Except where otherwise noted, this item's license is described as © The Author(s) 2023. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.