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Description: This dataset contains both building-level and hexagon-level estimates of debris generated by damaged buildings and personal property following the Venezuela earthquake. Building-level estimates were derived by combining AI-based building damage assessments with building height information from the Google Open Buildings 2.5D Temporal Dataset. For each building, footprint area, average height, estimated number of floors, gross floor area, and building volume were calculated. Damage probabilities were classified into five damage categories and converted into estimates of building debris (tons) and personal property debris (tons) using predefined damage coefficients.
Building-level results were aggregated to a regular hexagonal grid using representative points to avoid double-counting buildings intersecting multiple cells. Hexagon-level indicators include the number of buildings, total estimated building debris, total estimated personal property debris, mean building damage percentage, and maximum building damage percentage. The dataset is intended to support humanitarian response, debris management, recovery planning, and spatial damage assessment.
Service Item Id: 22aeb213438c4481ad9b5ea36db3f4a6
Copyright Text: This dataset was produced using building damage assessment data developed by Microsoft AI for Good Lab and published through the Humanitarian Data Exchange (HDX). Building height estimates were derived from the Google Research Open Buildings 2.5D Temporal Dataset. Debris estimation methodology and spatial aggregation were developed by the dataset authors.
Spatial Reference:
4326
(4326)
LatestVCSWkid(0)
Initial Extent:
XMin: -67.21362226013423
YMin: 10.446062829384525
XMax: -66.65806201476587
YMax: 10.765961237818653
Spatial Reference: 4326
(4326)
LatestVCSWkid(0)
Full Extent:
XMin: -67.11540546399993
YMin: 10.516304465000076
XMax: -66.80622224099994
YMax: 10.62718725600007
Spatial Reference: 4326
(4326)
LatestVCSWkid(0)
Units: esriDecimalDegrees
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Supports Dynamic Layers: false
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