Define
Set the deliverable, accuracy target, coordinate reference and review standard.
DJI Terra brings photogrammetry, LiDAR, multispectral processing and 3D reconstruction into one production environment. Unmanned Canada helps configure the licence, workstation, aircraft data and output workflow around the result your team actually needs.
The strongest Terra deployment starts with the deliverable—not the software button. Define accuracy, coordinate system, turnaround time and file format first, then configure capture and processing around those requirements.
Set the deliverable, accuracy target, coordinate reference and review standard.
Collect RGB, LiDAR or multispectral data with the required overlap and positioning.
Apply the appropriate reconstruction method and workstation resources to the dataset.
Review checkpoints, completeness, alignment and output quality before delivery.
Choose the processing method that best matches the sensor, site conditions and required downstream deliverable.
Convert overlapping RGB imagery into mapped surfaces, orthomosaics and textured 3D models for measurement, documentation and analysis.
Process supported LiDAR datasets into point-cloud and terrain-oriented outputs for complex surfaces, vegetation and asset environments.
Create visually rich scene reconstructions where complex geometry and surface appearance are important to review and communication.
Turn calibrated multispectral imagery into field-scale maps that support crop observation, variability review and agronomic workflows.
Distribute suitable large reconstruction projects across multiple worker devices when one workstation is not the right production model.
Select the output your team needs. The planner will identify the most relevant Terra processing path and the questions to resolve before deployment.
Use a calibrated, overlapping RGB dataset to produce an orthomosaic and mapped surface for site records, measurement or progress review.
Use supported LiDAR data when terrain, vertical assets, vegetation penetration or point-cloud analysis is central to the deliverable.
Use Gaussian Splatting for visually complex scenes; choose mesh when geometry, surface structure and compatibility with established model workflows matter most.
Use compatible multispectral imagery for vegetation-index and field-variability outputs, supported by consistent capture and agronomic interpretation.
Consider a dealer-configured cluster environment when dataset size and delivery timing justify distributing reconstruction across multiple worker devices.
Edition, online or offline binding, workstation ownership and collaboration model should be confirmed together—not treated as separate purchases.
A practical starting point for teams building repeatable Terra reconstruction workflows on a dedicated Windows workstation.
For organizations that need a broader Terra capability set and want to standardize advanced reconstruction across production work.
An offline, dealer-configured architecture for distributing suitable large reconstruction projects across multiple worker devices.
Paid features require internet access for an online-bound licence.
Dealer-supplied offline versions can use paid functions after binding, while internet-dependent services remain unavailable.
Final functions, binding method and device plan are verified at quote.
Official minimums establish compatibility. Production capacity depends on image count, resolution, reconstruction method, turnaround expectations and concurrent work.
Review your workstation planDJI’s current Terra FAQ states that macOS and non-NVIDIA graphics cards are not supported. Confirm compatibility before purchasing hardware.
Sensor, aircraft, positioning, control and processing decisions all affect the final deliverable.
Platforms such as DJI Matrice 4E, Mavic 3 Enterprise and Zenmuse P1 support RGB mapping at different scales.
Match camera, altitude and overlap to GSD.Zenmuse LiDAR payload workflows support point-cloud production for terrain, vegetation and complex structures.
Confirm payload and aircraft compatibility.Compatible multispectral platforms provide calibrated band data for vegetation-index and field-observation workflows.
Plan timing and calibration consistently.RTK, checkpoints and ground control can support repeatable positioning and independent quality review.
Document the control method with every project.A short planning session can prevent hardware mismatches, reprocessing and deliverables that do not meet the client’s actual use case.
Define the output, accuracy, format and acceptance criteria.
Confirm projection, vertical reference and control method.
Size GPU, memory, storage and processing time for the dataset.
Plan local storage, backup, transfer and client data handling.
Document checkpoints, inspection steps and delivery sign-off.
These answers summarize current DJI guidance. Version, licence and compatibility details should be rechecked when the system is quoted.
Ask a Terra specialistDJI Terra supports visible-light photogrammetry, LiDAR processing, multispectral reconstruction and 3D Gaussian Splatting workflows. The correct path depends on the sensor data and required output.
Both are available as perpetual licence options, with online and offline variants. The exact function set and best edition should be confirmed against the current DJI release and your required workflows.
No. DJI’s current guidance specifies a 64-bit Windows environment and NVIDIA graphics. macOS and non-NVIDIA graphics cards are not supported.
DJI indicates that non-DJI images can theoretically be used for 3D reconstruction, but results may be less reliable. Complete GPS or RTK metadata and controlled capture improve the starting dataset.
Online licences require internet access to use paid functions. Dealer-supplied offline versions can use paid functions after binding without an internet connection, although online-dependent services will not be available.
Not in the same way as earlier versions. DJI states that version 5.0 and later no longer support the older general route-planning role; route planning is limited to detailed inspection and agriculture workflows.
Tell us what you need to deliver, the equipment you already operate and the typical size of your datasets. We’ll help define a practical Terra deployment for your Canadian team.