DJI Terra and DJI Modify have released new versions with groundbreaking updates.
DJI Terra now offers free support for Zenmuse L3 point cloud reconstruction* Standard and Flagship versions now include cluster reconstruction functionality. Existing users can access cluster reconstruction at no additional cost
Achieving high-precision POS through IMU fusion with GNSS differential processing is critical for accurate point cloud data processing. DJI Terra supports multiple PPK data processing methods, ensuring optimal point cloud accuracy across diverse operational scenarios.
Stable RTK Environments: Use raw POS processing—the software directly utilizes the RTB data recorded by the LiDAR for streamlined processing.
Unstable RTK Areas: Select local PPK processing by setting up a PPK base station (such as D-RTK 3) at a known point and importing the base station file into DJI Terra for enhanced accuracy.
New support for flight trajectory trimming enables you to remove low-quality flight route data before LiDAR point cloud reconstruction. Generate point clouds corresponding only to your required flight trajectory, with rendering displayed according to trajectory paths. Quality reports now include detailed flight strip accuracy information for better project oversight.
Flight Trajectory Trimming and Point Cloud Trajectory Rendering Display
Define your Region of Interest with precision by drawing areas or manually selecting blocks. DJI Terra reconstruction intelligently outputs results only within your specified ROI, optimizing processing time and storage. This functionality applies to point clouds, DOM, DEM, 3D models, and all other reconstruction outputs.
ROI Settings and ROI Effects
Generate point clouds using flexible blocking methods, with each block creating a separate point cloud file for easier data management. Custom block origin points are supported, giving you full control over your data organization strategy.
Block by Memory
Block by Side Length
Beyond traditional fusion reconstruction of 2D maps and 3D models, DJI Terra introduces groundbreaking Gaussian Splatting fusion reconstruction for Zenmuse L3 point clouds with visible light data. This innovation dramatically enhances model realism and detail representation. In challenging scenarios—including complex steel structures, substations, and dense vegetation—Gaussian Splatting models deliver significantly superior results compared to conventional visible light mesh reconstruction.
LiDAR Point Cloud Gaussian Splatting Reconstruction
Cluster reconstruction harnesses the power of distributed computing by utilizing multiple DJI Terra-equipped computers on a local LAN network to complete data processing tasks collaboratively. This advanced mode is ideal for processing ultra-large-scale aerial survey datasets, significantly boosting both processing capacity and efficiency.
Supported Projects: Both the DJI Terra visible light reconstruction and LiDAR point cloud reconstruction projects now fully support cluster reconstruction workflows.
With the DJI Terra V5.1 update, Standard and Flagship license holders gain immediate access to cluster reconstruction functionality—at no additional cost. This powerful capability enables efficient processing of large-scale datasets through distributed computing. Visible light cluster reconstruction supports key workflows including aerial triangulation, 2D map generation, and 3D mesh reconstruction.
Cluster mode reconstruction for Zenmuse L3 LiDAR point cloud tasks is now available without requiring additional DJI Terra software licenses. Simply log in to the software to begin leveraging distributed computing for your LiDAR reconstruction workflows.
If you previously purchased the DJI Terra Cluster Edition, please be aware that after upgrading to DJI Terra V5.1, the original cluster worker devices will require reconfiguration. For upgrade assistance, please contact your authorized dealer or DJI Enterprise after-sales technical support for specialized migration support.
DJI Modify continues to excel in intelligent point cloud editing and 3D model editing, while introducing powerful new capabilities. This update delivers large-scale point cloud rendering support, advanced 3D Profile tools, real-time TIN editing, and additional productivity-enhancing features designed for professional workflows.
DJI Modify now employs an optimized point cloud loading strategy that enables 32 GB memory systems to handle LAS point cloud data exceeding 120 GB. This represents a significant leap in processing capability for enterprise-scale projects.
When available memory falls below twice the size of the point cloud LAS file, DJI Modify automatically splits the data into blocks and groups them according to your system's memory capacity. One group can be loaded at a time for editing, ensuring smooth performance even with massive datasets.
64GB Computer Loading 200GB Point Cloud
The enhanced Profile view delivers comprehensive analytical capabilities, including point cloud rotation, precise point and line measurements, and accuracy verification for imported check points. Profile point clouds can be exported independently in industry-standard formats such as LAS, enabling seamless integration with downstream analysis and application workflows.
Profile Operation
DJI Modify now supports real-time terrain result generation, including TIN outputs. When performing operations such as ground point classification, smoothing, denoising, or thinning, changes to TIN terrain outputs are instantly previewed—eliminating wait times for regeneration. This real-time feedback transforms point cloud editing into a more intuitive, efficient, and responsive experience.
Note: *This pricing statement is based on DJI Terra V5.1.0. Pricing for future feature updates will be detailed in release notes at the time of publication.
Learn more about the DJI Terra Release Notes V5.1
Learn more about the DJI Modify Release Notes V1.5