Solar Panels

Jonathan Wilbrink
Business Developer

Jonathan Wilbrink
Business Developer

Solar Panel Data. Every installation. In sight

Accurate, continuously updated solar panel data across the globe. Ready for energy transition monitoring, grid planning and rooftop potential analysis.

What we monitor

We detect, classify and monitor all solar panel installations across the globe using satellite imagery, aerial photography and AI-driven object recognition. At every scale from individual address to municipality and beyond. We map not only where panels are currently installed, but also the orientation, estimated surface area and expected yield of each installation. Change monitoring runs continuously, tracking growth in installed capacity over time and enabling comparison against historical baselines and policy targets.

Methodology & Technology

We process high-resolution satellite imagery and aerial photography through deep learning models specifically trained to detect photovoltaic installations on rooftops, facades and open terrain. Panel detection is combined with building roof data (including 3D geometry, slope and orientation) to estimate yield potential per installation. The dataset is updated multiple times per year, with historical data available to track growth trends and measure the effectiveness of energy transition policy. All data is delivered with address, building and parcel linkage, enabling analysis at any spatial aggregation level. From individual rooftop to national overview.

Examples of what we detect

Panel presence

Panel presence is the binary detection result. Whether a solar installation has been identified on a given rooftop or surface. It is the foundational layer for any inventory, reporting or policy monitoring use case, and the starting point for all derived attributes.

Installation location

Location records the precise geographic position of each installation, linked to a BAG address and building footprint where available. It enables spatial queries at any level. From a single street to a regional energy transition programme area.

Panel surface area (m²)

Panel surface area estimates the total photovoltaic footprint of an installation based on the detected panel geometry from aerial or satellite imagery. It is the primary input for yield estimation and the most reliable proxy for installed capacity where official registrations are incomplete or lagging.

Roof orientation and slope

Orientation and slope are derived from 3D roof geometry and describe the cardinal direction and angle of the panel surface. Together they determine the solar irradiance a panel receives across the year and are essential for yield modelling that goes beyond simple surface area counts.

Estimated yield (kWh/year)

Estimated yield calculates the expected annual electricity generation per installation based on panel surface, orientation, slope and standard irradiance values for the Netherlands. It translates physical detection into energy terms. The currency that matters for policy targets and grid planning.

Rooftop potential

Rooftop potential quantifies the remaining unoccupied roof area that is technically suitable for solar installation. Based on roof orientation, slope, shading analysis and existing panel coverage. It is the core metric for identifying where additional capacity can be stimulated with the highest return.

Output & integration

Solar panel data is available via a live API for direct integration into GIS environments including ESRI, QGIS and GeoApps, as well as via dataset downloads and periodic reporting. All data is linkable to building, parcel and address data, enabling combination with energy labels, building type classifications and grid connection data for deeper analysis. Updates run multiple times per year, ensuring that monitoring and reporting always reflect the current state of installations rather than outdated inventories. The dataset can be delivered at any spatial aggregation level (address, building, neighbourhood, municipality or province) making it directly usable in both operational workflows and policy dashboards.