RRVS Building survey for building exposure modelling in Valparaiso and Viña del Mar (Chile)

Cite as:

Merino-Peña, Yvonne; Pittore, Massimiliano; Gomez-Zapata, Juan Camilo (2021): RRVS Building survey for building exposure modelling in Valparaiso and Viña del Mar (Chile). V. 1.0. GFZ Data Services. https://doi.org/10.5880/riesgos.2021.001

Status

I N R E V I E W : Merino-Peña, Yvonne; Pittore, Massimiliano; Gomez-Zapata, Juan Camilo (2021): RRVS Building survey for building exposure modelling in Valparaiso and Viña del Mar (Chile). V. 1.0. GFZ Data Services. https://doi.org/10.5880/riesgos.2021.001

Abstract

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

Authors

Merino-Peña, Yvonne;Department of Structural and Geotechnical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile
Pittore, Massimiliano;GFZ German Research Centre for Geosciences, Potsdam, Germany;EURAC Research (Accademia Europea): Bolzano, Trentino-Alto Adige, Italy
Gomez-Zapata, Juan Camilo;GFZ German Research Centre for Geosciences, Potsdam, Germany