10.5880/riesgos.2021.001 Merino-Peña, Yvonne Yvonne Merino-Peña 0000-0002-7965-5303 Department of Structural and Geotechnical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile Pittore, Massimiliano Massimiliano Pittore 0000-0003-4940-3444 GFZ German Research Centre for Geosciences, Potsdam, Germany EURAC Research (Accademia Europea): Bolzano, Trentino-Alto Adige, Italy Gomez-Zapata, Juan Camilo Juan Camilo Gomez-Zapata 0000-0001-7919-5549 GFZ German Research Centre for Geosciences, Potsdam, Germany GFZ Data Services 2021 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 Merino-Peña, Yvonne Yvonne Merino-Peña 0000-0002-7965-5303 Department of Structural and Geotechnical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile Pittore, Massimiliano Massimiliano Pittore 0000-0003-4940-3444 GFZ German Research Centre for Geosciences, Potsdam, Germany EURAC Research (Accademia Europea): Bolzano, Trentino-Alto Adige, Italy Pittore, Massimiliano Massimiliano Pittore 0000-0003-4940-3444 GFZ German Research Centre for Geosciences, Potsdam, Germany EURAC Research (Accademia Europea): Bolzano, Trentino-Alto Adige, Italy Gomez-Zapata, Juan Camilo Juan Camilo Gomez-Zapata 0000-0001-7919-5549 GFZ German Research Centre for Geosciences, Potsdam, Germany Gomez-Zapata, Juan Camilo Juan Camilo Gomez-Zapata 0000-0001-7919-5549 GFZ German Research Centre for Geosciences, Potsdam, Germany Gomez Zapata Juan Camilo GFZ German Research Centre for Geosciences, Potsdam, Germany 2018-11-01/2018-12-30 Dataset 10.3390/ijgi11020113 https://vimeo.com/158600573 https://storage.globalquakemodel.org/media/publication/EXP-MOD-GEM-Building-Taxonomy-201302-V01_1.pdf 10.1007/s10518-021-01312-9 https://www.riesgos.de/en/ 1.0 CC BY 4.0 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
-71.7508 -71.3485 -33.1991 -32.9459 Bundesministerium für Bildung und Forschung http://doi.org/10.13039/501100002347 03G0876 CLIENT II – International Partnerships for Sustainable Innovations: RIESGOS