Remote Rapid Visual survey (RRVS) for exposure modelling in Kyrgyzstan and Tajikistan

DOI

The dataset contains a set of structural and non-structural attributes collected using the GFZ RRVS methodology in Kyrgyzstan and Tajikistan, within the framework of the projects EMCA (Earthquake Model Central Asia), funded by GEM, and "Assessing Seismic Risk in the Kyrgyz Republic", funded by the World Bank. The survey has been carried out between 2012 and 2016 using a Remote Rapid Visual Screening system developed by GFZ and employing omnidirectional images and footprints from OpenStreetMap. 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

For each building an EMCA vulnerability class has been assigned following the fuzzy scoring methodology described in Pittore et al., 2018. The related class definition schema (as a .json document) is included in the data package.

Identifier
DOI https://doi.org/10.5880/GFZ.2.6.2019.006
Related Identifier https://doi.org/10.1177/8755293020951582
Related Identifier https://doi.org/10.5880/GFZ.2.6.2019.001
Related Identifier https://doi.org/10.5880/GFZ.2.6.2019.002
Related Identifier https://doi.org/10.5880/GFZ.2.6.2019.003
Related Identifier https://doi.org/10.5880/GFZ.2.6.2019.004
Related Identifier https://doi.org/10.5880/GFZ.2.6.2019.005
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:7121
Provenance
Creator Pittore, Massimiliano ORCID logo; Wieland, Marc (ORCID: 0000-0002-1155-723X); Haas, Michael; Sheraliev, Temirlan; Duisheev, Arstan; Niyazov, Jafar
Publisher GFZ Data Services
Contributor Pittore, Massimiliano; Wieland, Marc; Haas, Michael; Sheraliev, Temirlan; Duisheev, Arstan; Niyazov, Jafar; Pittore Massimiliano
Publication Year 2019
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); Pittore Massimiliano (GFZ-Potsdam)
Representation
Resource Type Dataset
Version 1.0
Discipline Geosciences
Spatial Coverage (71.529W, 39.135S, 78.912E, 42.945N); Time span of the overall RRVS surveys