What data do you have?

Start with the data you already have.

Terrametrica builds structured forest intelligence asset packages from imagery, LiDAR, point clouds, rasters, vectors or project boundaries.

01

Drone Imagery

You have
RGB imagery from a forest flight.
We can produce
Orthomosaic, surface, tree and crown candidate assets.
Typical first delivery
Raster and vector assets, QGIS project and evidence pack.
Start from drone imagery
02

Multispectral Captures

You have
Calibrated or raw multispectral flight captures.
We can produce
Vegetation indices and spectral condition indicator assets.
Typical first delivery
Condition review layers, QGIS project and evidence pack.
Start from multispectral data
03

LiDAR Point Clouds

You have
Classified or unclassified LiDAR point clouds.
We can produce
DTM, DSM, CHM, structure and tree/crown candidate assets.
Typical first delivery
Normalized point cloud, structure assets and evidence pack.
Start from LiDAR
04

Existing Point Clouds

You have
Photogrammetry, LiDAR or another point-cloud source.
We can produce
Point-cloud QA, normalized assets and realistic downstream candidates.
Typical first delivery
Reviewed point-cloud package with limitations and evidence.
Review a point cloud
05

Existing Rasters & Vectors

You have
GeoTIFFs, CHMs, terrain models, GeoPackages or vectors.
We can produce
Canonical rasters, normalized vectors and derived forest assets.
Typical first delivery
CRS-harmonized QGIS package with manifest and checksums.
Structure existing geodata
06

Boundaries Only

You have
A project AOI and an early-stage forest-data question.
We can produce
Reference extracts, screening assets and data-gap notes.
Typical first delivery
Boundary-based reference package and evidence index.
Start from boundaries

Structured delivery

Different inputs. One disciplined delivery model.

Every starting point is reviewed before downstream assets are defined. The package records what was received, what was produced and where expert review remains necessary.

Starting-point packageReview boundary

forest_asset_package/

  1. inputs/
  2. rasters/
  3. vectors/
  4. analytics/
  5. qgis/
  6. manifest.json
  7. lineage.json
  8. checksums.txt
  9. qa_notes.md
  10. evidence_index.md
Partner delivery
  • inputs/
  • rasters/
  • vectors/
  • analytics/
  • qgis/

Review boundary

manifest.jsonlineage.jsonchecksums.txtqa_notes.mdevidence_index.md

Tell us your starting point.

We will help define a realistic first package based on the data, scope and validation available.