Earthquake Damage Assessment for 24,732 Buildings in Catia La Mar, Venezuela

Damage assessment data for 24,732 buildings in East Catia La Mar, Venezuela, generated by Microsoft AI for Good Lab using AI models on satellite imagery. The dataset includes geospatial files (GeoPackage, GeoJSON) and JPEG images. It was last updated on June 27, 2026.

Use Cases

• Train or validate AI models for building damage detection based on satellite imagery.
• Assess the spatial distribution and severity of earthquake damage in a specific urban area.
• Plan targeted disaster response and resource allocation based on building-level damage assessments.
• Conduct geospatial analysis of vulnerability to seismic events in coastal urban settings.

Strengths

• Covers a specific, sizable area with data for 24,732 individual buildings.
• Produced by a named organization (Microsoft AI for Good Lab) using AI models.
• Includes multiple geospatial file formats (GeoPackage, GeoJSON) for interoperability.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Microsoft AI for Good Lab

Collection Method

AI model analysis of satellite imagery.

Time Range

null

Freshness

Last updated 2026-06-27 23:46:27.034345; freshness should be verified.

Geography

East Catia La Mar, Venezuela