Wigger Tims
Expert Nature & Landscape
Every tree in sight.
Precise, location-based tree data. Ready for urban planning, compliance, risk assessment, nature monitoring and more.
What we monitor
We detect and classify individual trees across urban, peri-urban and rural environments using aerial imagery, satellite data and elevation models. For every tree we monitor presence, crown size, species and structural condition and we track how canopy coverage changes over time. Detection, classification and change monitoring are all part of a single, continuously updated dataset.
Methodology & Technology
We combine high-resolution aerial imagery (RGB + near-infrared), Sentinel-2 satellite data and AHN elevation models to detect and classify individual trees at object level. Our detection models segment each tree crown and estimate root zone extent based on trunk location and species-specific growth profiles, validated against municipal tree registers and periodic field checks. Individual tree detection accuracy exceeds 95% in urban environments. Reliable to act on directly, without additional field verification in the early stages of planning or analysis.
Examples of what we detect
Location records the precise geographic position of each tree’s trunk. It enables spatial queries, route analysis and integration with any GIS environment — and is the anchor point for all other attributes.
Crown area measures the surface covered by the canopy from above. It is the primary input for calculating canopy coverage percentages in compliance reporting and heat stress modelling.
Crown volume captures the three-dimensional size of the canopy derived from elevation data. It reflects ecological quality far better than a tree count alone — a mature tree with large volume provides significantly more cooling, biodiversity and carbon value than a recently planted one.
Canopy change quantifies the net shift in tree canopy between two measurement moments. It is the core metric for tracking compliance with the EU Nature Restoration Law’s no-net-loss obligation, measured against the 2024 baseline.
Tree height records the vertical extent from ground to crown top. It is directly relevant for shade modelling, infrastructure clearance assessments and estimating the structural risk a tree poses near roads or cables.
Root zone captures the estimated horizontal extent of the root system around the trunk. In infrastructure design, this determines where construction is constrained or cost-intensive — ignoring root zones is one of the most common causes of project delays and redesigns.
Protected status records whether a tree holds legal protection under municipal or national regulation. It determines which permitting requirements apply and is a critical input for any intervention, construction or route design in the vicinity.
Output & integration
Tree data is available via API and direct platform access, with exports in GeoJSON, Shapefile and CSV. Ready to load into QGIS, ArcGIS or engineering design environments without conversion. The dataset is updated annually, with historical data available from approximately 2010 for trend and change analysis. It combines directly with impervious surface data for heat stress and BAF+ scoring, with buildings and roads data for infrastructure risk and shade modelling, and with parcel data for ownership context and permitting workflows.
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 tree data and it’s possibilities.
Wigger Tims
Expert Nature & Landscape
