Drone imagery
→Orthomosaic, canopy products, tree and crown candidate assets.
Ready for QGIS in under 48 hours.
Turn your drone and LiDAR data into white-labeld forest intelligence assets.
Stop shipping raw point clouds. Get standardized tree crowns, canopy models and evidence packs – with full checksums and provenance. Delivered in OGC STAC under your brand.
Forest AI. Structural analytics. Evidence-ready delivery.
Stop shipping file dumps.
From forest outputs to verifiable asset catalogs.
Terrametrica generates tree, crown, canopy and project-level forest analytics, then structures every delivery around the OGC SpatioTemporal Asset Catalog (STAC), the open standard for making geospatial assets discoverable, interoperable and searchable by place, time and product context.
That turns Forest AI and analytics outputs into 100% OGC STAC-compliant assets your team can review, reuse, hand off and scale from downloadable packages into branded catalogs or APIs.
Delivery products
Feature highlights
No AI team required
White-label Forest AI under your brand.
Terrametrica runs the AI, geospatial processing, OGC STAC delivery and evidence infrastructure behind the scenes. You keep the customer relationship, pricing, interpretation and branded handoff.
No stack to build
No ML team to hire. No model pipeline to maintain. No geospatial catalog infrastructure to build. You bring the customer, domain context and commercial offer — Terrametrica turns project data into professional forest intelligence outputs.
Your customer relationship stays yours
You retain customer access, pricing, project interpretation and the final branded handoff while Terrametrica operates behind the scenes.
Qualified white-label workflows can include NDA, data confidentiality, project data-use restrictions and customer non-circumvention terms.
Your client sees your brand. Terrametrica runs the engine.
First pilot
A practical first pilot: tree and crown assets.
Start with one real forest project. We prepare the foundation data, generate tree and crown candidate assets, package the outputs for review and document the delivery.
- 01Input review
- 02Foundation assets
- 03Treetop candidates
- 04Crown candidates
- 05Optional classification
- 06QGIS + evidence pack
Typical first delivery
- Input review and foundation preparation
- Treetop candidate assets
- Crown candidate assets
- Optional classification or indicators where data supports them
- QGIS project
- Evidence pack
Discuss a Tree & Crown Pilot
Candidate and indicator assets for expert review. They do not constitute a complete inventory.
Starting points
Bring the data. We structure the forest intelligence.
Whether your team starts with drone imagery, LiDAR, existing geodata or only a project boundary, Terrametrica helps define the first realistic asset package.
Multispectral captures
→Vegetation indices and spectral condition indicator assets.
LiDAR point clouds
→DTM, DSM, CHM, structure and tree/crown candidate assets.
Existing point clouds
→Point-cloud QA, normalization and downstream candidate assets.
Existing rasters & vectors
→Canonical rasters, normalized vectors and derived forest assets.
Boundaries only
→Reference extracts, screening assets and data-gap notes.
Reference workflows
Early-stage forest reference packages for carbon teams.
Start with a project boundary and receive a structured geospatial reference package for screening, field planning and evidence preparation.
Discuss reference workflowsA reference package can include
- 01AOI normalization
- 02Public raster extracts
- 03Historical forest-change context
- 04GEDI-informed reference assets
- 05Canopy and biomass-relevant screening layers
- 06Data-gap and field-planning notes
Terrametrica supports screening, planning and evidence preparation. We do not certify projects, issue credits or replace validation and verification bodies.
Start with one real forest-data project.
Tell us what data exists, what your client needs and what your team wants to deliver. We’ll help define a realistic first asset package.