Drone imagery
→Orthomosaic, canopy products, tree and crown candidate assets.
Forest Intelligence Asset Infrastructure
Turn drone, LiDAR and geospatial data into forest intelligence.
Terrametrica combines state-of-the-art AI, remote-sensing workflows and established forest analytics methods to extract tree, crown, canopy and project-level intelligence from UAV, LiDAR and geospatial data.
Forest AI. Structural analytics. Evidence-ready delivery.
Stop delivering 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
White-label processing
Your brand. Terrametrica’s forest intelligence infrastructure.
Terrametrica runs forest analytics, OGC STAC delivery and evidence infrastructure behind the scenes. You keep the client relationship, commercial context, interpretation and branded delivery.
- 01Your client
- 02Your team
- 03Terrametrica processing layer
- 04Asset package
- 05Your branded delivery
You stay in control of
- Client relationship
- Commercial terms
- Project interpretation
- Final approval
- Branded delivery
Terrametrica supports with
- Forest AI and analytics processing
- Raster and vector outputs
- Tree, crown and canopy intelligence
- OGC STAC asset and evidence delivery
- QA notes and handoff structure
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.