RRVS Building survey for exposure modelling in Alsace (France)

DOI

The dataset contains a set of structural and non-structural attributes collected using the GFZ RRVS (Remote Rapid Visual Screening) methodology in Alsace, France, within the framework of the DESTRESS project. The survey has been carried out between May and June 2017 using a Remote Rapid Visual Screening system developed by GFZ and employing omnidirectional images from Google StreetView (vintage: February 2011) and footprints from OpenStreetMap.Surveyor: Konstantinos G. Megalooikonomou (GFZ German Research Centre for Geosciences)The attributes are encoded according to the GEM taxonomy v2.0 (see https://taxonomy.openquake.org). The following attributes are defined (not all are observable in the RRVS survey):code,descriptionlon, longitude in fraction of degreeslat, latitude in fraction of degreesobject_id, unique id of the building surveyedMAT_TYPE,Material TypeMAT_TECH,Material TechnologyMAT_PROP,Material PropertyLLRS,Type of Lateral Load-Resisting SystemLLRS_DUCT,System DuctilityHEIGHT,HeightYR_BUILT,Date of Construction or RetrofitOCCUPY,Building Occupancy Class - GeneralOCCUPY_DT,Building Occupancy Class - DetailPOSITION,Building Position within a BlockPLAN_SHAPE,Shape of the Building PlanSTR_IRREG,Regular or IrregularSTR_IRREG_DT,Plan Irregularity or Vertical IrregularitySTR_IRREG_TYPE,Type of IrregularityNONSTRCEXW,Exterior wallsROOF_SHAPE,Roof ShapeROOFCOVMAT,Roof CoveringROOFSYSMAT,Roof System MaterialROOFSYSTYP,Roof System TypeROOF_CONN,Roof ConnectionsFLOOR_MAT,Floor MaterialFLOOR_TYPE,Floor System TypeFLOOR_CONN,Floor Connections

Identifier
DOI https://doi.org/10.5880/GFZ.2.6.2018.002
Related Identifier https://taxonomy.openquake.org
Related Identifier https://www.globalquakemodel.org/single-post/2017/05/17/GEM-Building-Taxonomy-Version-20
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:6552
Provenance
Creator Pittore, Massimiliano ORCID logo; Haas, Michael; Megalooikonomou, Konstantinos ORCID logo
Publisher GFZ Data Services
Contributor Pittore, Massimiliano; Haas, Michael; Megalooikonomou, Konstantinos
Publication Year 2018
Funding Reference European Commission, 691728
Rights CC BY 4.0; http://creativecommons.org/licenses/by/4.0/
OpenAccess true
Contact Pittore, Massimiliano (GFZ German Research Centre for Geosciences, Potsdam, Germany)
Representation
Language English
Resource Type Dataset
Format application/vnd.ms-excel
Size 73254 Bytes; 1 Files
Version 1.0
Discipline Geosciences
Spatial Coverage (7.864W, 48.891S, 7.951E, 48.966N); Time span of the actual RRVS survey; Vintage of the GoogleStreet images used in the survey