Indianapolis building-level data integrates structural attributes, envelope materials, archetype classifications, embodied carbon indicators, material quantities, and operational energy baselines. The United States High-Resolution Building Stock dataset was created by Siavash Ghorbany and last updated on May 11, 2026. It combines National Structure Inventory records, Google Street View and satellite imagery, Athena Impact Estimator outputs, and ResStock energy simulations through AI-driven enrichment.
Use Cases
- Urban digital twin creation based on high-resolution structural and envelope attributes
- Building retrofit analysis based on archetype classifications and operational energy baselines
- Decarbonization policy research based on embodied carbon indicators and material quantity take-offs
- Building stock modeling based on integrated National Structure Inventory records and AI-enriched features
Strengths
- Dataset integrates multiple data sources including National Structure Inventory records, Google Street View, and satellite imagery.
- Provides high-resolution building-level data for urban modeling at a 912.6 MB scale.
- Includes derived metrics like embodied carbon indicators and material quantity take-offs from Athena Impact Estimator.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment for large-scale modeling.
Provenance
- Source
- Siavash Ghorbany via figshare
- Collection Method
- Combines NSI records, Google Street View and satellite imagery, Athena Impact Estimator outputs, and ResStock energy simulations through AI-driven enrichment and archetype-based modeling.
- Freshness
- Last updated 2026-05-11 14:07:29
- Geography
- Indianapolis, United States