RRVS Building survey for building exposure modelling in Chía (Colombia)

Description: 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 6249 randomly distributed buildings in the urban area of Chía (Colombia). The survey has been carried out between May and July 2020 using a Remote Rapid Visual Screening system developed by GFZ and employing omnidirectional images from Google StreetView (and footprints from OpenStreetMap (OSM), both with vintages of May 2020. The buildings were inspected by dozens of local students of civil engineering students from the Universidad de La Sabana (Chía, Colombia). Their attribute values in terms of the GEM v.2.0 taxonomy.

Global identifier:

Doi(
    "10.5880/riesgos.2022.001",
)

Origins: /Wissenschaft/Helmholtz-Gemeinschaft/GFZ

Tags: Gebäude ? Bautechnik ? Taxonomie ? Modellierung ? Urbaner Raum ? Überwachung ? Chia ? EARTH SCIENCE > HUMAN DIMENSIONS > NATURAL HAZARDS > EARTHQUAKES ? EARTH SCIENCE > HUMAN DIMENSIONS > NATURAL HAZARDS > TSUNAMIS ? GEM ? RIESGOS ? RRVS ? attributes ? risk exposure ?

License: cc-by/4.0

Language: Englisch/English

Organisations

• GFZ Data Services (Herausgeber*in)

Issued: 2023-01-01

Time ranges: 2023-01-01 - 2023-01-01

Status

Aktiv

Quality score

• Overall: 0.54
• Findability: 0.58

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• Interoperability: 0.25

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  • Machine-readable metadata: true
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• Reusability: 0.67

  • License: ClearlySpecifiedAndFree (1.00)
  • Contact info: false
  • Publisher info: true

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