Building and Road Features Extracted from 2018 Orthophotos

A geospatial dataset representing building footprints and ordinary road networks. The features were extracted from orthophotos captured in 2018 using deep learning techniques. The data is provided by the Agenzia per l'Italia Digitale.

Use Cases

• Urban growth analysis based on building footprints
• Transportation network modeling based on road features
• Land-use classification based on extracted geospatial features
• Training computer vision models for feature extraction from aerial imagery

Strengths

• Features derived from orthophotos captured in a specific year (2018)
• Data extraction method is specified as deep learning techniques

Limitations

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

Provenance

Source

Agenzia per l'Italia Digitale

Collection Method

Extracted from orthophotos through deep learning techniques

Time Range

2018