More value per UAV project
Turn orthomosaics and CHMs into sellable forest layers instead of a plain map.
White-label processing for UAV and forest geodata
More value from every UAV forestry project.
digitalforestry.ai processes finished geodata or UAV imagery with sidecars into QGIS-ready forest layers, raster foundations and evidence packs — so you can deliver higher-value GIS products under your own brand.
We handle the processing — not the flight, not your client relationship.
QGIS-readyRaster + vectorEvidence pack optionalPartner-branded delivery
AOI · FOREST SECTOR Select a layer feature to inspect
Partner delivery package Assembled for QGIS
GPKGCOGQGZJSON
✓Evidence Pack
Why partners process with us
Forest layers without your own ML team
Ship AI-driven outputs without running your own geospatial pipeline.
QGIS-ready, not manual clicking
Structured GPKG, COG and QGZ packages instead of manual GIS handwork.
Keep the client relationship
You run the project and deliver under your brand — we stay invisible.
Two input routes · one delivery package
What you send — what you receive
A clear technical handoff for existing UAV and GIS projects — optionally starting from UAV imagery and sidecars.
A
Finished geodata
GEODATA- Orthomosaic / GeoTIFF / COG
- CHM / DSM / DTM
- AOI: GPKG / GeoJSON / Shapefile
- Optional: tree / control points
B
Optional: UAV imagery + sidecars
UAV + METAIf rasters are missing, we review imagery and metadata as a basis for orthomosaics, elevation models or COG outputs.
JPG / TIFF UAV imageryEXIF / GPS metadataMRK / RTK / NAV / OBS / OBKFlight folders / mission structure
OUT
Deliverable outputs
QGIS- orthomosaic.cog.tif · DSM / DTM / CHM
- tree_points.gpkg
- crown_candidates.gpkg
- qgis_project.qgz
- processing_manifest.json
- QA summary · optional Evidence Pack
Layer Inspection Console
Inspect the path from input to delivery.
Switch between raster foundation, height model, candidate layers and partner-ready delivery. Geometries are explicitly presented as reviewable candidates.
Dataset-specific processing
Not one model. A method stack.
Treetops, tree candidates and crown delineations are generated, compared and selected through multiple method paths depending on input data, quality and output scope — instead of applying one model blindly to every project.
Different data sources provide different signals: RGB/RGBA orthomosaics, CHMs or elevation models, LiDAR/point clouds, existing control points or ground-truth data. digitalforestry.ai does not treat these as a rigid single-model workflow, but as inputs for method paths that can be combined, compared and documented with QA notes depending on the project goal.
AI-based tree detectionCHM-based treetop detectionRGB/RGBA-based crown cuesLiDAR/elevation-model structure extractionGeometric crown modelsDeterministic segmentation methodsEnsemble and comparison logicQA and review rules
METHOD ROUTER Focus a signal or path
Input signals
Method paths
Review-ready outputs
Processing workflow
From data intake to delivery.
Six concise stages, including optional raster generation and documented handoff.
01
INPUTData intake
Raster, vector, imagery, sidecar and AOI assets are received in a structured package.
02
RASTEROptional: raster foundation
UAV imagery is reviewed for suitable orthomosaic, elevation-model and COG outputs.
03
NORMALIZEData normalization & validation
CRS, NoData, units, resolution and file structure are normalised and validated.
04
PROCESSAI/geospatial processing
Tree points, crown polygons and structure layers are processed with defined parameters.
05
EVIDENCEQA, manifest & evidence pack
Processing steps, checksums, parameters and outputs are documented for your project context.
06
DELIVERPartner-branded delivery
QGIS-ready package using the agreed output schema and handoff process.
Sellable partner products
Turn processing into services you can sell.
Ten clearly scoped packages for UAV, GIS, surveying and forestry teams — from production forest layers to optional calibration and MRV preparation modules.
01 · Partner product
Tree & Crown Layer Package
Client need
An orthomosaic and CHM exist, but tree and crown objects are missing for review and downstream analysis.
Our processing
Normalisation, tree-point candidates, crown delineation and QA notes.
Delivery package
QGIS project with tree and crown candidates, CSV/GPKG files and manifest.
tree_points.gpkgcrown_candidates.gpkgQGZ
What you can offer your client
A ready-to-use forest layer package that extends the value of your UAV project.
02 · Partner product
Raster Foundation Package
Client need
UAV imagery and metadata are available, but reliable raster foundations are missing.
Our processing
Data review, optional orthomosaic and elevation-model derivation, plus COG normalisation.
Delivery package
Orthomosaic, DSM/DTM/CHM or normalised COGs, subject to data quality and technical suitability.
orthomosaic.cog.tifDSM / DTM / CHMQA note
What you can offer your client
A clean raster foundation for forest layers, GIS review and further partner services.
03 · Partner product
Forest Structure Review Package
Client need
Clients need a structured view of height, crown area and stand characteristics.
Our processing
Height statistics, crown areas, density metrics and structure proxies.
Delivery package
Review-ready layers, tables and a partner-branded summary.
height statscanopy densitysummary.pdf
What you can offer your client
A higher-value analytics module while professional interpretation remains with your team.
Productised packages
Start small. Standardise when the workflow fits.
Test a bounded dataset, review the deliverable outputs, then define repeatable packages for recurring projects.
Sample Processing
from €490
Best forFirst real dataset and technical feasibility
For partners who want to see what can be derived from their UAV/GIS data.
- Data check
- Small AOI subset
- 1–2 output layers
- Sample manifest
- Short result note
- Partner call
Forest Layer Essentials
from €1,500 per project
Best forStandard QGIS tree and crown package
The robust base package for standardised forest layers and QGIS hand-off.
- Data intake and validation
- Boundary clipping
- CHM/orthomosaic normalisation
- Tree point candidates
- Crown polygon candidates
- QGIS-ready GPKG
- Basic audit manifest
Forest Metrics Pro
from €3,500 per project
Best forExtended metrics and documentation
Extended structure metrics and partner-ready project documentation.
- Everything in Essentials
- Height statistics
- Crown areas
- Crown-diameter proxy
- Canopy density
- QA report
- Partner-branded summary
- Optional pilot modules: canopy gap / health screening
Partner Engine
custom
Best forRecurring processing with fixed schemas
For recurring white-label partners with defined workflows.
- Recurring processing
- Defined output schemas
- Partner branding
- Prioritisation
- API/S3 hand-off
- NDA available
- Client communication stays with the partner
- Repeatable audit trail
Premium add-on
Evidence Pack
A structured project record with input/output references, checksums, parameters, processing steps, QA notes and handoff documentation.
from €750 per projectDiscuss evidence pack ↗Sample processing uses a clearly bounded AOI. Scope and timing are confirmed after reviewing input quality and requested outputs.
Premium processing evidence
Deliver more than layers. Deliver traceability.
The optional evidence pack combines input references, checksums, processing steps, parameters, versions, outputs, QA notes and handoff documentation into a traceable project record.
01 Manifest
→ Technical run and output artifact.
02 Evidence Pack
For partners who need to document results for clients, internal QA or later review stages.
Add-on from €750 per projectPremium add-on
Discuss evidence pack Chain of Evidence Explorer Evidence Pack
Evidence stage · 01
Reference input assets
Project assets, AOI, sidecars and handoff structure are linked to the processing run.
Included artifacts
✓input_assets.json
✓project_summary.md
Statusdocumented
Evidence stage · 02
Secure the file state
Checksums connect documented inputs to the exact files used during processing.
Included artifacts
✓checksums.sha256
✓asset references
Statusdocumented
Evidence stage · 03
Review technical suitability
CRS, NoData, coverage, units and available metadata are recorded before processing.
Included artifacts
✓preflight_qa.md
✓quality flags
Statusdocumented
Evidence stage · 04
Map processing steps
Raster, vector and candidate-layer operations are documented in execution order.
Included artifacts
✓processing_steps.json
✓lineage
Statusdocumented
Evidence stage · 05
Keep parameters traceable
Relevant thresholds and processing settings are captured for the project context.
Included artifacts
✓parameters.json
✓run configuration
Statusdocumented
Evidence stage · 06
Link workers and models
Worker, pipeline and model versions are associated with the processing run.
Included artifacts
✓worker_versions.json
✓model references
Statusdocumented
Evidence stage · 07
Frame outputs for review
QA notes identify limitations, anomalies and the required professional review.
Included artifacts
✓qa_notes.md
✓output_assets.json
Statusdocumented
Evidence stage · 08
Package a professional handoff
A README and evidence summary explain structure, use and validation responsibility.
Included artifacts
✓handoff_readme.md
✓evidence_summary.pdf
Statusdocumented
ChecksumsQA packageReproducibilityClient handoff
Clear partner boundaries
You keep the project and client relationship.
You lead the flight, project communication, professional interpretation and client delivery. digitalforestry.ai handles the agreed processing step in the background.
✓Background processing partner
✓Flight and data capture stay with your team
✓No direct communication with your end clients
✓Delivery under your brand
✓NDA and defined handoff available
✓No publication without approval
✓Traceable outputs with a manifest
PARTNERdigitalforestry.ai
You run the project. We deliver the processing.
Interpretation, professional approval and client communication remain entirely within your process.
Processing infrastructure
Why digitalforestry.ai
Forestry UAV projects generate large amounts of data. The real value emerges when those datasets become reproducible raster foundations, individual-tree layers, crown structures, QA notes and traceable project records.
digitalforestry.ai is built as processing infrastructure for exactly this step: methodically documented, partner-ready, repeatable and designed for professional delivery under your brand.
Method-first
Multiple methods depending on the dataset instead of a single-model black box.
Evidence-first
Every relevant processing step becomes part of a traceable project record.
Partner-first
You keep the project, client relationship and delivery.
FAQ
Technical questions before the first project.
Short answers for UAV, GIS, surveying and forestry teams.
01How quickly will I receive results?+
Timing depends on data volume, area and requested outputs. After data review, we provide a realistic estimate; sample processing uses a clearly bounded subset.
02What happens if data quality is insufficient?+
We respond with concrete QA notes and clarify early which outputs can be produced reliably.
03How does technical data handoff work?+
Handoff is agreed via a suitable upload or cloud-storage route. Fixed S3 structures or API-adjacent workflows can be defined for recurring partners.
04Can you generate rasters from UAV imagery?+
Optionally, yes. We review imagery, EXIF/GPS and sidecars and derive suitable raster foundations where data quality, overlap and project goals make this technically sensible.
05Which sidecar files help processing?+
MRK, RTK, NAV, OBS and OBK files are useful, as are complete flight folders and mission structures.
06What is the difference between a manifest and an Evidence Pack?+
A manifest describes one processing run or output package. The Evidence Pack bundles inputs, checksums, parameters, processing steps, outputs, QA and handoff into a project record.
07Is the Evidence Pack a certification?+
No. It documents our part of the workflow and supports internal QA and client documentation; it is not an external certification.
08Are revisions or QA questions included?+
Yes. QA questions are part of the process so inputs, output scope and delivery format are clearly defined.
Start with real data
Start with real data.
Send a bounded dataset. We will assess which raster foundations, forest layers and documentation packages can support your partner offer.