
Megadron Blog


DJI Terra Edu is a powerful all-in-one 3D reconstruction and mapping software package designed for users who want to turn drone data into clear, detailed, and highly usable results. Combining advanced photogrammetry with LiDAR data processing, it creates a smooth workflow from data capture to processing and final analysis. The Education lifetime license supports up to 10 seats, making it a great choice for schools, training centers, labs, and teams working on larger projects.

Thanks to 3D Gaussian Splatting technology, DJI Terra Edu can generate highly realistic spatial models from photos. It handles complex structures such as buildings, landmarks, vegetation, and reflective materials with impressive visual fidelity. Compared to classic oblique photogrammetry, this method performs better with transparent elements, reflections, and fine details, while also helping create cleaner, distortion-free orthophotos.

DJI Terra is built for speed. It can process around 500 photos per hour, allowing single-block reconstruction in approximately 30 to 40 minutes. For projects with more than 10,000 images, the technology delivers up to twice the speed of the earlier Terra Mesh engine, helping users complete large-scale modeling work faster and more efficiently.

This software performs very well in advanced environments such as city districts, industrial parks, and infrastructure networks. DJI Terra can process approximately 300 to 400 photos per 1 GB of available RAM, and a single reconstruction task can include up to 30,000 images. That makes it a practical tool for large-area digital modeling and spatial data management.

Despite its advanced feature set, DJI Terra runs smoothly even on moderately powerful hardware. A graphics card with 4 GB of memory and 32 GB of RAM is enough for comfortable operation, making high-quality reconstruction more accessible without the need for an extremely expensive workstation.

Reconstruction results can be exported with a single click to popular formats such as PLY and B3DM (3D Tiles). This makes it easy to integrate projects with external platforms used in surveying, urban planning, game development, film production, GIS, and other technical workflows.

DJI Terra generates high-quality 3D models, point clouds, orthophotos, and DSM surface models from image data. Users can adjust 2D map resolution and 3D mesh density, then export results in commonly used industry formats. When paired with DJI drones equipped with RTK, the software can produce mapping results that meet 1:500 accuracy standards without requiring ground control points.

DJI Terra is fast enough to produce results on-site for smaller jobs. For larger 3D reconstructions, it can process up to 30,000 photos in three days on a single workstation, or in as little as 21 hours using cluster technology. In 2D reconstruction mode, 5,000 photos can be processed in under 2 hours, or around 80 minutes in cluster mode.

DJI Terra supports advanced integration of LiDAR data and visible-light imagery. A single flight with Zenmuse L2 can capture precise point clouds, 2D maps, and 3D mesh models at the same time. This approach provides more complete and more detailed reconstructions, even for challenging structures such as bridges. With RTK and PPK workflows, centimeter-level accuracy is possible without ground control points. The software can also automatically generate flight routes based on local 3D models or point clouds, including data from external sources.

Terra can process roughly 1 GB of point cloud data per 1 GB of available RAM, allowing smooth work with demanding projects. In practice, a computer with 32 GB RAM can handle up to 120 GB of data covering an area of around 10 km². For city-scale datasets, systems with 128 GB RAM can be used for even more demanding workloads.

DJI Terra supports data from DJI Mavic 3 Multispectral and Phantom 4 Multispectral drones, enabling the creation of NDVI and NDRE vegetation index maps. It can also generate reflectance maps and spraying routes for DJI Agras drones, including variable-rate applications. Simply select the crop type, and the software creates optimized 2D maps that can help improve yields while reducing operating costs.

The software is prepared for distributed workflows, making it possible to process huge volumes of data beyond the limits of a single workstation. In a configuration with five working units, up to 30,000 photos can be processed in around 21 hours. This lets you scale your setup depending on project size and performance needs.

DJI Terra works with a wide range of DJI Enterprise equipment, including DJI Matrice 4E, DJI Matrice 400, Zenmuse P1, Zenmuse L2, and the D-RTK 3 station. Together, they create a complete solution for photogrammetry and professional LiDAR mapping across many different applications.

With a single click, models created in DJI Terra can be transferred directly to DJI Modify, DJI’s mesh and point cloud editor. There you can use advanced tools such as smoothing, denoising, sampling, terrain classification, and export to GIS and CAD software. Combined with DJI drones, Terra and Modify create a complete workflow from capture and reconstruction to editing and sharing.

DJI Terra offers local and cloud-based PPK processing, control and checkpoint marking, support for more than 8,500 coordinate systems, PRJ files, and seven-parameter transformations. It also enables measurements, annotations, and export in formats compatible with local mapping standards, making it a versatile platform for technical and educational use.

DJI Terra is a great fit wherever precise spatial analysis and efficient data handling matter. It can be used in surveying and cartography, public safety, rescue planning, energy, oil and gas, water infrastructure, precision agriculture, construction, as well as game and film production. For educational environments, it is also an excellent tool for teaching modern mapping, modeling, and data-processing workflows.

| Feature / Version | Agriculture | Standard | Flagship | Cluster | Education |
|---|---|---|---|---|---|
| Agriculture applications | ✔ | ✔ | ✔ | ✔ | ✔ |
| 2D mapping (farmland/orchards) | ✔ | ✔ | ✔ | ✔ | ✔ |
| 2D mapping (urban areas) | — | ✔ | ✔ | ✔ | ✔ |
| 2D multispectral reconstruction | — | ✔ | ✔ | ✔ | ✔ |
| 3D mesh reconstruction | — | ✔ | ✔ | ✔ | ✔ |
| LiDAR point cloud reconstruction | — | ✔ | ✔ | ✔ | ✔ |
| Terrain result | — | ✔ | ✔ | ✔ | ✔ |
| Gaussian Splatting technology | — | — | ✔ | ✔ | ✔ |
| Energy sector applications | — | — | ✔ | ✔ | ✔ |
| Cluster computing | — | — | — | ✔ | — |
| Max. number of linked devices | 3 | 1 | 1 | 1 device, 3 nodes | 10 |
| Authorization mode | Online | Online/Offline | Online/Offline | Offline | Online |
| Validity period | 1 year | 1 year / perpetual | 1 year / perpetual | Perpetual | Perpetual |