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Spatial data infrastructure (SDI) for inventory rockfalls with fragmentation information

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Spatial data infrastructure (SDI) for inventory rockfalls with fragmentation information

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dc.contributor.author Núñez-Andrés, M. Amparo es_ES
dc.contributor.author Lantada Zarzosa, Nieves es_ES
dc.contributor.author Martínez Llario, José Carlos es_ES
dc.date.accessioned 2023-10-06T18:01:24Z
dc.date.available 2023-10-06T18:01:24Z
dc.date.issued 2022-07 es_ES
dc.identifier.issn 0921-030X es_ES
dc.identifier.uri http://hdl.handle.net/10251/197846
dc.description.abstract [EN] The fragmentation phenomenon has a significant effect on rockfall risk assessment. This information is difficult to obtain, but it is key to improving rockfall modelling. For this reason, the RockModels team has gathered data on the fragmentation of several natural events since 2014 that nowadays wants to share them with professionals, academics and stakeholders. The best way for the dissemination of this information is the use of standard or data specifications in order to be interoperable. A fragmentation rockfall database has been created using all the gathered information, according to the INSPIRE Natural Hazard Area Data Specification currently in force. However, new tables have had to be added, since this specification does not consider fragmentation data. There are currently 6000 records of geometries of source areas, envelopes, deposits and mostly individual blocks. A web mapping application, with an automatic function for coordinate reference system transformation, has been created to facilitate access to the spatial database information. All that was developed on open-source software such as OpenLayers JavaScript library, database (PostGre-PostGIS) and the map generating Web Map Service (GeoServer). As more data are collected, the database can be easily updated and the new information will be published. Moreover, to improve data interpretation, a future task is to incorporate 3D models on the web application. The existence of this public database will facilitate research and advance in knowledge of this kind of natural hazards. [GRAPHICS] es_ES
dc.description.sponsorship Most of the data collected were funding by the Project "Rockfalls in cliffs: risk quantification and its prevention (RockRisk)" Ref. BIA2013-42582-P, funded by the Spanish Ministry of Economy and Competitiveness. The RockDB and WMS implementation were supported by Projects: "Characterization and modelling of rockfalls (RockModels)" Ref.BIA2016-75668-P (AEI/FEDER,UE), funded by the Ministerio de Ciencia e Innovacion (MCIN) co-funded by the Agencia Estatal de Investigation (AEI) and The European Regional Development Fund (ERDF or FEDER in Spanish) and the Project "Advances in rockfall quantitative risk analysis (QRA) incorporating developments in geomatics (GeoRisk)" with reference PID2019-103974RB-I00, funded by MCIN/AEI/10.13039/501100011033. Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. es_ES
dc.language Inglés es_ES
dc.publisher Springer-Verlag es_ES
dc.relation.ispartof Natural Hazards es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Rockfall database es_ES
dc.subject Fragmentation data es_ES
dc.subject SDI es_ES
dc.subject Web mapping es_ES
dc.subject.classification INGENIERIA CARTOGRAFICA, GEODESIA Y FOTOGRAMETRIA es_ES
dc.title Spatial data infrastructure (SDI) for inventory rockfalls with fragmentation information es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s11069-022-05282-2 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-103974RB-I00/ES/AVANCES EN EL ANALISIS DE LA CUANTIFICACION DEL RIESGO (QRA) POR DESPRENDIMIENTOS ROCOSOS EMPLEANDO AVANCES EN LAS TECNICAS GEOMATICAS/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//BIA2016-75668-P/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//BIA2013-42582-P/ES/DESPRENDIMIENTOS EN ESCARPES ROCOSOS: CUANTIFICACION DEL RIESGO Y SU PREVENCION/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería Geodésica, Cartográfica y Topográfica - Escola Tècnica Superior d'Enginyeria Geodèsica, Cartogràfica i Topogràfica es_ES
dc.description.bibliographicCitation Núñez-Andrés, MA.; Lantada Zarzosa, N.; Martínez Llario, JC. (2022). Spatial data infrastructure (SDI) for inventory rockfalls with fragmentation information. Natural Hazards. 112(3):2649-2672. https://doi.org/10.1007/s11069-022-05282-2 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/s11069-022-05282-2 es_ES
dc.description.upvformatpinicio 2649 es_ES
dc.description.upvformatpfin 2672 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 112 es_ES
dc.description.issue 3 es_ES
dc.relation.pasarela S\456220 es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
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