10.5880/riesgos.2021.001 eng dataset GFZ German Research Centre for Geosciences datapub@gfz-potsdam.de http://www.gfz-potsdam.de Helmholtz-Centre Potsdam - GFZ German Research Centre for Geosciences Helmholtz-Centre Potsdam - GFZ German Research Centre for Geosciences pointOfContact 2022-11-23 urn:ogc:def:crs:EPSG:4326 RRVS Building survey for building exposure modelling in Valparaiso and Viña del Mar (Chile) 2022-11-23 revision doi:10.5880/riesgos.2021.001 Merino-Peña, Yvonne Department of Structural and Geotechnical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile author Pittore, Massimiliano GFZ German Research Centre for Geosciences, Potsdam, Germany author Gomez-Zapata, Juan Camilo GFZ German Research Centre for Geosciences, Potsdam, Germany author GFZ Data Services publisher The dataset contains a set of structural and non-structural attributes collected using the GFZ RRVS (Remote Rapid Visual Screening) methodology. It is composed by 604 randomly distributed buildings in the urban area of Valparaiso and Viña del Mar (Chile). The survey has been carried out between November and December 2018 using a Remote Rapid Visual Screening system developed by GFZ and employing omnidirectional images from Google StreetView (vintage: December 2018) and footprints from OpenStreetMap (OSM). The buildings were inspected by local structural engineers from the Chilean Research Centre for Integrated Disaster Risk Management (CIGIDEN) while collecting their attribute values in terms of the GEM v.2.0 taxonomy Gomez Zapata Juan Camilo GFZ German Research Centre for Geosciences, Potsdam, Germany PhD candidate jcgomez@gfz-potsdam.de pointOfContact taxonomy RRVS GEM risk exposure attributes survey Valparaiso RIESGOS Scenario-based multi-risk assessment in the Andes region EARTH SCIENCE > HUMAN DIMENSIONS > NATURAL HAZARDS > EARTHQUAKES EARTH SCIENCE > HUMAN DIMENSIONS > NATURAL HAZARDS > TSUNAMIS NASA/GCMD Earth Science Keywords publication CC BY 4.0 CC BY 4.0 10.3390/ijgi11020113 DOI IsSupplementTo https://vimeo.com/158600573 URL References https://storage.globalquakemodel.org/media/publication/EXP-MOD-GEM-Building-Taxonomy-201302-V01_1.pdf URL References 10.1007/s10518-021-01312-9 DOI IsSupplementTo https://www.riesgos.de/en/ URL References eng geoscientificInformation -71.7508 -71.3485 -33.1991 -32.9459 2018-11-01 2018-12-30 http://doi.org/10.5880/riesgos.2021.001 WWW:LINK-1.0-http--link Data Access - DOI Data Access - DOI information