Erik Brunekreef
Business Development
Building Data. Every structure. In detail.
Complete, enriched building data. Ready for risk assessment, compliance monitoring and spatial analysis.
What we monitor
We detect, classify and continuously monitor every building in the Netherlands. From the footprint and roof geometry to physical characteristics, risk indicators and changes over time. We combine the official BAG (Basisregistratie Adressen en Gebouwen) and BGT (Basisregistratie Grootschalige Topografie) with our own object detection from aerial and satellite imagery, enriching the national register far beyond what public sources provide. Detection, classification and change monitoring are all part of a single, continuously updated dataset.
Methodology & Technology
We process high-resolution aerial photography, including stereo and oblique imagery. Together with satellite data and AHN elevation models, feeding them through AI and deep learning models that automatically detect buildings, classify their characteristics and compare them against the previous registration cycle. Detected changes are validated before delivery, and each enrichment carries transparent metadata on source and quality level. The dataset is updated at minimum twice a year, with mutation detection running continuously. Achieving an address coverage of over 95% of all buildings in the Netherlands, compared to approximately 70% in the standard BAG alone.
Examples of what we detect
The footprint captures the precise ground-level outline of each building as derived from BAG, BGT and aerial detection. It is the spatial anchor for all other attributes and enables integration with any GIS or mapping environment.
3D roof geometry records the shape, slope and surface of the roof in three dimensions, derived from AHN elevation data and aerial imagery. It is the primary input for solar energy potential calculations, shadow modelling and volumetric visualisations of the built environment.
Roof type classifies each building’s roof as flat, pitched, hip, shed or other categories. It determines water runoff behaviour, solar suitability, structural risk profiles and material assumptions for maintenance and insurance purposes.
Roof material identifies the covering type. Such as tile, metal, bitumen or glass. Using spectral analysis of aerial imagery. It is essential for energy performance assessments, insurance risk scoring and detecting materials such as asbestos that require remediation.
This attribute detects the presence and location of dormer extensions on the roof. Dormers are frequently added without permit notification and are a key signal for BAG and BGT mutation detection workflows.
Solar panel detection identifies the presence, estimated surface area and orientation of photovoltaic installations on rooftops. It supports energy transition monitoring, grid capacity planning and policy reporting on renewable energy penetration.
Address coverage indicates whether a building footprint has been successfully matched to an official BAG address. With over 95% coverage in the Terramira dataset versus approximately 70% in the standard BAG, this attribute directly indicates data quality and completeness for administrative and analytical use.
Risk indicators capture proximity-based exposure to flood risk, high-voltage cables, petrol stations, trees and other environmental factors. They translate spatial context into actionable signals for insurers, asset managers and municipalities assessing vulnerability at building level.
This attribute quantifies the degree of vegetation cover in the immediate surroundings of a building. It is used in heat stress assessments, livability analyses and as a complementary input for ecological scoring in urban environments.
The mutation flag indicates whether a physical change has been detected at a building since the previous measurement cycle. Such as an extension, new roof structure, demolition or newly built object. It is the primary trigger for BAG and BGT update workflows and helps municipalities meet their annual registration obligations efficiently.
Output & integration
Building data is available via API for direct integration into existing GIS and data systems, via an online viewer for map-based selection and analysis, and as dataset downloads per municipality, region or the full Netherlands. The API supports dynamic spatial queries. For example, returning all buildings with solar panels within 100 metres of a waterway. The dataset is compatible with QGIS, ArcGIS and BI environments, and is updated at minimum twice per year, with mutation signals generated continuously as new imagery becomes available.
Connected Intelligence
Challenge us.
We work with organisations that have specific, complex or non-standard data needs and we like it that way. Tell us what you’re looking for.
Explore our building data and it’s possibilities.
Erik Brunekreef
Business Development
