Green Roofs in London from 2019 Aerial Imagery via Machine Learning

1.25 km^2 of green roof area was identified across Greater London in 2019 using a U-Net segmentation model on aerial imagery. This geospatial dataset, created by Charles Simpson of University College London, covers 1463 km^2 and is the largest open automatic survey of green roofs in any city. The data is provided as GeoJSON polygons, with accompanying code for segmentation and analysis.

Use Cases

• Assess green roof coverage for urban heat island modeling based on the geospatial area data.
• Guide sustainable building policy and neighborhood design based on the identified prevalence and characteristics of existing green roofs.
• Estimate potential for energy and emissions reductions from buildings based on the green roof area data.
• Analyze spatial distribution of green infrastructure, such as the higher concentration in the City of London financial district.

Strengths

• Covers a large area of 1463 km^2 across Greater London.
• Provides specific area estimates: 0.19 km^2 in Central Activities Zone, 0.81 km^2 in Inner London, and 1.25 km^2 in Greater London.
• Includes the Python code used for segmentation and analysis, enabling reproducibility.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.
• The underlying aerial imagery and building footprint data are not included due to licensing restrictions.

Provenance

Source

University College London

Collection Method

Generated using a U-Net machine-learning algorithm to segment 2019 aerial imagery.

Time Range

2019

Geography

Greater London, United Kingdom, including Central Activities Zone and Inner London.