Building-Level Intelligence from LiDAR

Independent geospatial intelligence focused on extracting and harmonizing building-level physical metrics from national LiDAR datasets across Europe.

Overview

This capability enriches authoritative building footprints with LiDAR-derived physical metrics, defined consistently across countries.
The emphasis is on harmonization and consistency, not maximum visual detail.

Coverage

Implemented across 14 European countries (subject to national LiDAR availability/quality):
Belgium (Brussels-Capital Region, Flanders, Wallonia), Czechia, Denmark, Estonia, France, Latvia, Luxembourg, Netherlands, Poland, Portugal, Slovenia, Spain, Sweden, Switzerland.

Copenhagen, Denmark

Loading…
🖱️ Left drag = move
🖱️ Right drag = rotate (L/R + Up/Down)
🤏 Mobile: 1 finger move • 2 fingers rotate/tilt

Madrid, Spain

Loading…
🖱️ Left drag = move
🖱️ Right drag = rotate (L/R + Up/Down)
🤏 Mobile: 1 finger move • 2 fingers rotate/tilt

Wallonia, Namur, Belgium

Loading…
🖱️ Left drag = move
🖱️ Right drag = rotate (L/R + Up/Down)
🤏 Mobile: 1 finger move • 2 fingers rotate/tilt

What Exists

Within supported countries/regions, individual building footprints are enriched with:

  • Building height statistics (max height and height percentiles)
  • Building volume (from footprint geometry + LiDAR-based vertical extent)
  • Roof geometry indicators (slope, aspect)

All metrics are derived directly from LiDAR point clouds and processed through country-specific pipelines to account for differences in data quality, reference systems, and acquisition characteristics.
Resulting representations target LOD 1–1.5 use cases: measured height, volume, and roof geometry indicators (not detailed architectural surface models).

What This Is (and Is Not)

This is:

  • A building-level physical reference layer consistent across countries
  • An independent enrichment of authoritative building footprints

This is not:

  • A mapping/visualization product in itself
  • A raw LiDAR data distribution

LiDAR is the source, not the product.

Demonstrations

Visual material on this site is illustrative only, intended to communicate the analysis approach and cross-country physical coherence.
Where buildings are shown, footprints are extruded using a robust LiDAR-derived height statistic representing dominant building extent rather than local extremes.
Full-resolution, building-level datasets are not publicly distributed.

Potential Applications

Intended as an upstream input for organizations that require reliable physical building information, e.g.:

  • Physical risk and exposure assessment
  • Climate and flood risk screening
  • Portfolio-level risk analysis and aggregation
  • Energy and solar feasibility analysis
  • Real-estate and asset portfolio characterization
  • Urban form and density analysis

Any further modeling or decision-making is performed by the end user within their own domain context.

Status

Independent professional work — not a public product offering at this stage.
The capability is operational. I’m currently in limited discussions with organizations where it may be relevant, to understand decision contexts and assess applicability.

Contact

If this capability is relevant to your organization or research, you’re welcome to get in touch to discuss context and applicability.

Email: info@greyscalar.com