Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/129882
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dc.contributor.authorFerrer Valero, Nicolásen_US
dc.contributor.authorHerrera, Gustavoen_US
dc.date.accessioned2024-04-16T19:28:55Z-
dc.date.available2024-04-16T19:28:55Z-
dc.date.issued2024en_US
dc.identifier.issn0143-6228en_US
dc.identifier.urihttp://hdl.handle.net/10553/129882-
dc.description.abstractOceanic islands are multi-risk territories but statistical aggregation of socio-economic exposure data is often a constraint for high-resolution risk modelling and hazard prevention. This work presents a downscaling procedure to obtain a complete high-resolution cartographic base on the distribution of main socio-economic variables in the Canary Islands (Spain). For this purpose, a new dasymetric procedure has been developed based on the combination of cadastral censuses, detailed planimetries and LiDAR altimetry data. The methodology allowed for the construction of an exposure cartographic base (ECB) that comprises population, capital stock, productivity and heritage (cultural and natural) layers, covering the entire archipelago at 2.5 m resolution. The ECB results was tested for accuracy and found to be 90% accurate within a positional range of 50 m. The ECB was then compared with real damages in three recent natural disasters: a volcanic eruption on La Palma in 2021, a wildfire in Gran Canaria in 2019 and a coastal flooding in Tenerife in 2018. The comparison between modelled exposure and actual damage revealed the consistency of the cartographic base for full-damage events and the need to incorporate the vulnerability factor to obtain a more accurate estimate for partial damage events.en_US
dc.languageengen_US
dc.relation.ispartofApplied Geographyen_US
dc.sourceApplied Geography [ISSN 0143-6228], v. 165, 103239, (Febrero 2024)en_US
dc.subject54 Geografíaen_US
dc.subject250621 Vulcanologíaen_US
dc.subject5403 Geografía humanaen_US
dc.subject.otherNatural risksen_US
dc.subject.otherHuman exposureen_US
dc.subject.otherDasymetric downscalingen_US
dc.subject.otherOceanic islandsen_US
dc.subject.otherCanary islandsen_US
dc.titleHigh-resolution modelling of island exposure to natural hazards tested with real disastersen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.typeArticleen_US
dc.rights.licenseBY-NC-ND-
dc.identifier.doi10.1016/j.apgeog.2024.103239en_US
dc.identifier.scopus2-s2.0-85186426334-
dc.contributor.orcid0000-0002-3402-6183-
dc.contributor.orcid#NODATA#-
dc.relation.volume165en_US
dc.investigacionArtes y Humanidadesen_US
dc.type2Artículoen_US
dc.description.numberofpages13en_US
dc.utils.revisionen_US
dc.date.coverdateFebrero 2024en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-HUMen_US
dc.description.sjr1,138-
dc.description.jcr4,9-
dc.description.sjrqQ1-
dc.description.jcrqQ1-
dc.description.ssciSSCI-
dc.description.miaricds11,0-
item.fulltextCon texto completo-
item.grantfulltextopen-
crisitem.author.deptGIR IOCAG: Geografía, Medio Ambiente y Tecnologías de la Información Geográfica-
crisitem.author.deptIU de Oceanografía y Cambio Global-
crisitem.author.orcid0000-0002-3402-6183-
crisitem.author.parentorgIU de Oceanografía y Cambio Global-
crisitem.author.fullNameFerrer Valero, Nicolás-
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