2026-07-22T01:27:41Zhttp://doidb.wdc-terra.org/oaip/oaioai:doidb.wdc-terra.org:65522026-06-10T09:56:23ZDOIDBDOIDB.GFZfalse4DOIDB.GFZ
10.5880/GFZ.2.6.2018.002
Pittore, Massimiliano
Massimiliano
Pittore
0000-0003-4940-3444
GFZ German Research Centre for Geosciences, Potsdam, Germany
Haas, Michael
Michael
Haas
GFZ German Research Centre for Geosciences, Potsdam, Germany
Megalooikonomou, Konstantinos
Konstantinos
Megalooikonomou
0000-0001-7897-7231
GFZ German Research Centre for Geosciences, Potsdam, Germany
RRVS Building survey for exposure modelling in Alsace (France)
GFZ Data Services
2018
induced seismicity
taxonomy
RRVS
GEM
EARTH SCIENCE > HUMAN DIMENSIONS
EARTH SCIENCE > SOLID EARTH > TECTONICS > EARTHQUAKES
geological process > seismic activity
risk > natural risk
safety > risk assessment > disaster preparedness
safety > risk assessment > natural risk analysis
safety > risk assessment > risk exposure
Pittore, Massimiliano
Massimiliano
Pittore
0000-0003-4940-3444
GFZ German Research Centre for Geosciences, Potsdam, Germany
Pittore, Massimiliano
Massimiliano
Pittore
0000-0003-4940-3444
GFZ German Research Centre for Geosciences, Potsdam, Germany
Haas, Michael
Michael
Haas
GFZ German Research Centre for Geosciences, Potsdam, Germany
Megalooikonomou, Konstantinos
Konstantinos
Megalooikonomou
0000-0001-7897-7231
GFZ German Research Centre for Geosciences, Potsdam, Germany
Pittore Massimiliano
GFZ German Research Centre for Geosciences, Potsdam, Germany
2018-03-21
2017-06-01/2017-07-01
Dataset
Pittore et al., (2018). Risk-oriented, bottom-up modelling of building portfolios with faceted taxonomies, Frontiers in Built Environment
https://taxonomy.openquake.org
https://www.globalquakemodel.org/single-post/2017/05/17/GEM-Building-Taxonomy-Version-20
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 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,description
lon, longitude in fraction of degrees
lat, latitude in fraction of degrees
object_id, unique id of the building surveyed
MAT_TYPE,Material Type
MAT_TECH,Material Technology
MAT_PROP,Material Property
LLRS,Type of Lateral Load-Resisting System
LLRS_DUCT,System Ductility
HEIGHT,Height
YR_BUILT,Date of Construction or Retrofit
OCCUPY,Building Occupancy Class - General
OCCUPY_DT,Building Occupancy Class - Detail
POSITION,Building Position within a Block
PLAN_SHAPE,Shape of the Building Plan
STR_IRREG,Regular or Irregular
STR_IRREG_DT,Plan Irregularity or Vertical Irregularity
STR_IRREG_TYPE,Type of Irregularity
NONSTRCEXW,Exterior walls
ROOF_SHAPE,Roof Shape
ROOFCOVMAT,Roof Covering
ROOFSYSMAT,Roof System Material
ROOFSYSTYP,Roof System Type
ROOF_CONN,Roof Connections
FLOOR_MAT,Floor Material
FLOOR_TYPE,Floor System Type
FLOOR_CONN,Floor Connections
Time span of the actual RRVS survey
7.86419
7.95077
48.8914
48.9658
Vintage of the GoogleStreet images used in the survey
7.86419
7.95077
48.8914
48.9658
European Commission
http://doi.org/10.13039/501100000780
691728
DESTRESS