What Is DJI Terra?
All-in-one drone mapping solution.
How DJI Terra Can Help You
DJI Terra is a 3D modelling and drone mapping software package.
This all-in-one drone mapping solution allows pilots to automate flight routes and collect real-time insights, helping surveyors plan, visualise, process, and analyse drone mapping data.
Thanks to DJI Terra, photos captured from your DJI drone can be transformed into high-resolution 2D orthomosaics and fully-navigable 3D reconstructions, allowing organisations to analyse data much more easily and accurately.
DJI Terra can also be used as an end-to-end drone LiDAR solution, when used in conjunction with the Zenmuse L1.
DJI Terra can benefit a variety of applications, such as public safety, construction, infrastructure, and agriculture.
Four types of licence are available for DJI Terra - Agriculture, Pro, Electricity and Cluster - offering a suite of mapping software capabilities and allowing operators to choose the best option for them. Online and offline options are available, depending on the license.
DJI Terra is available to purchase through heliguy™ - a trusted DJI partner providing drone supply and support to surveying companies around the world.
DJI Terra Key Features
DJI Terra has a range of key features to enhance drone mapping missions, for automated surveying, seamless end-to-end workflows and accurate results.
- Drone Mission Planning: Create and plan efficient flight paths prior to your operations and automate complex missions.
- Data Acquisition: Collect and centralise drone data.
- Area Mapping: Create 3D maps from selected areas.
- Data Analysis: Suite of tools to help you obtain measurements such as volume and distance, providing key insights about your survey area.
- Efficient: Bulk process up to 400 images/1GB of RAM (based on images captured using P4 RTK) and generate reconstruction missions using multiple graphics cards simultaneously to improve efficient.
- Mission Quality Report: Set GCPs and checkpoints for 3D models with enhanced absolute accuracy. Ensure the results meet your accuracy standards by viewing a mission quality report.
- Highly Compatible: Convert the coordinates of your maps and models into 8,500+ major coordinate systems. Create highly-accurate georeferenced maps and models by incorporating POS data and/or GCPs into your project's target coordinate system.
DJI Terra Case studies
Use The DJI Ecosystem For An End-to-End Aerial Mapping Workflow.
These exclusive data sets created by heliguy™ show the qualities of DJI Terra as a software processing tool.
We collected the data using the DJI Zenmuse P1 photogrammetry camera and DJI Zenmuse L1 LiDAR and RGB payload, both integrated with the DJI M300 RTK drone.
Our data sets highlight the capabilities of using the DJI ecosystem for an end-to-end drone surveying workflow.
DJI Terra For Photogrammetry
Using the DJI Terra, P1, and M300 RTK combination:
- DJI Terra produced sharp and realistic 3D models, with clear and intricate details;
- The 2D orthomosaic was just as crisp - even enabling us to count the number of holes in bricks on the ground when zooming in to the map, taken from 80m flight height;
- Easy-to-use measurement and analysis tools, such as surface area and volume calculations, and coordinates;
- DJI Terra is a locally-based software, so no photo upload was required. Uploading only comes into play when working on a cloud-based platform. It took us just over eight hours to process 390 images.
DJI Terra For Drone LiDAR
Using the DJI Terra, L1, and M300 RTK combination:
- Rapid processing - it took us just three minutes to process data from a 30-minute mission;
- Terra created a robust point cloud model, which would have been even more defined with a reorientation of the gimbal;
- DJI Terra helped to identify intricate details on the survey site, such as powerlines.
- Terra supports a range of colour modes, including visible, reflectivity rate, and return numbers.
3D Modelling: DJI Terra Vs Pix4Dmapper
Enhanced Detail With DJI Terra
One of the most impressive aspects of DJI Terra is its ability to build sharp and realistic 3D models - especially when used in conjunction with the high-resolution 45MP full-frame P1 camera. In many ways, it is bordering on reality capture. Such robust data sets are valuable for people who are utilising 3D models for decision-making and information sharing, especially for operations which require intricate details, such as crime-scene investigation.
The 3D modelling capabilities of DJI Terra are further endorsed when comparing to an alternative software; in this case, Pix4Dmapper.
The following examples highlight the differences. Both were captured during autonomous missions, each during a single flight, with the M300 RTK and using the P1 camera's Smart Oblique Capture mode - which captures only essential imagery. Adding manual data capture to supplement the initial flight would further enhance these models across both software platforms.
Farm Buildings And JCB
This first example of some farm outbuildings and a digger shows the difference in detail between the models in the two software packages.
The 3D reconstruction via DJI Terra is very intricate.
The shed is replicated in its entirety, with nice clean, clear edges, and no distortion or warping. Meanwhile, the map has enough detail to enable the viewer to clearly see the items in the shed to the right of the image.
In the foreground, the JCB is razor-sharp: Even the cab has been replicated in extremely clear detail.
The second image - while not a bad model - is not as clear as the DJI Terra data set: The building facades are slightly distorted, the items in the shed are more difficult to distinguish, and the JCB - with its blurry cab - almost appears to be melting into the ground.
This second example further demonstrates DJI Terra's 3D modelling capabilities.
The DJI Terra model of the farm house is sharp and higher-resolution.
This in turn helps to pick out the small details. Note, for instance, how the Terra data set has replicated the three chimneys, giving the structures texture and shape and highlighting their intricate features. Meanwhile, you can clearly see the letter box, widows and even the door knob on the front door.
In comparison, the alternative software is unable to replicate these fine details. Again, it's not a bad model, but the chimneys are more blocky, with minimal texturing. And while the letter box can be distinguished, the front door is missing the windows and door knob.
HOW CAN I USE DJI TERRA?
Streamlined survey missions.
Utilise a suite of tools for accurate data capture
Streamline your surveying missions with DJI Terra, which provides seamless workflows and accurate results.
DJI Terra allows you to create highly detailed 2D orthomosaic and 3D models with enhanced absolute accuracy by setting Ground Control Points (GCPs) and checkpoints. This ensures you can measure and inspect easily and efficiently and builds reliable representations of our asset, objects and surroundings.
To ensure the results meet the required accuracy, view a quality report of your mission, and convert the coordinates of your maps and models into 8500+ major coordinate systems.
Through DJI Terra, incorporate POS data, GCPs, or both data sets to create georeferenced maps and models.
To help you collect accurate data and build detailed maps, DJI Terra has a range of mission plans, mapping features, and analysis tools, to aid automated missions, rapid data collection, and onsite analysis.
For these reasons, DJI Terra can benefit multiple industry applications.
- Construction/Infrastructure: Collect data for measurements and analyse of your job site to bolster decision-making and collaboration, and perform inspections of complex assets and structures.
- Energy: Conduct inspection of utilities, safely and efficiently. DJI Terra's Electricity licence has special optimisations for powerlines.
- Public Safety: Achieve rapid on-site critical information and build detailed maps for crime-scene investigation and traffic-collision analysis.
- Agriculture: Obtain in-depth insights of your fields to generate greater yields and crop vitality. DJI Terra's Agriculture licence has features engineered for the farming industry and mapping orchards.
Types of Mission Planning
Numerous types of missions can be conducted with DJI Terra, enabling you to collect a variety of data. These are:
Use a set of predefined waypoints to create a flight path.
These waypoints have lots of adjustable parameters including altitude, gimbal pitch angle, speed, heading and more.
For even more complex flights - use 3D Flight Visualisation to simulate the flight on an existing 3D model before starting your mission.
With just a few simple taps you can totally automate flights over a specific area.
Using as little as three points you can create an area on a map that you would like to capture data from.
DJI Terra will automate the flight path for the mission, giving you access to accurate imagery which can be used to produce maps and 3D models.
Use Oblique mission planning for even more accurate data collection.
This type of mission is recommended when accuracy and small details are essential to the operation.
You can capture rich 3D model data by adjusting the camera angle during flight, giving a fully detailed model of the asset.
Simply draw a line on the map to create automated flight missions around roads and railways.
Tailor your flight and tweak the mission settings to change the total area mapped.
This provides flexibility to choose between creating high-definition 2D maps and 3D models, or quick overviews.
Detailed inspection mission planning enables automated inspection workflows.
Select one or more points in a local 3D model or point cloud to generate waypoints and flight routes.
Enhance waypoint selection and flight route planning through a simulated camera view, displayed on screen and including the selected point.
DJI Terra offers a number of different mapping features for a range of different applications. These include:
Real-Time 2D & 3D Mapping
Use DJI Terra to conduct real-time 2D and 3D mapping.
Generate 2D orthomosaic data over a chosen area. Perfect for building detailed flight paths in remote areas and for time-sensitive missions that require quick, on-site decision-making.
Use 3D mapping to quickly render and visualise a 3D model of the mapped area. Make decisions based on the preliminary model and check for completeness immediately or plan 3D flights on-site.
2D & 3D Reconstruction
Generate high-resolution 2D orthomosaics for detailed and accurate measurements. .
Quickly build 3D models for a realistic representation of your surroundings.
The CUDA-based reconstruction algorithms are capable of quickly processing large amounts of data to deliver quality results.
With Region of Interest, image reconstruction can be performed to a specific target region - increasing efficiency and building a clearer model or point cloud.
2D Multispectral Reconstruction
Using multispectral data from P4 Multispectral, generate radiometrically calibrated reflectance maps for remote sensing research and more, or produce vegetation index maps including NDVI and NDRE.
Multispectral Imaging Bands supported are blue, green, red, red edge, and near-infrared. The vegetation indices supported are NDVI, GNDVI, NDRE, LCI, OSAVI.
Create prescription maps for variable rate application using DJI’s Agras drones to improve crop yields while driving down costs.
LiDAR Data Processing
Point cloud data captured by the DJI Zenmuse L1 LiDAR sensor can be processed in DJI Terra.
With just one click, Terra offers a streamlined way to calculate POS data, fuse point cloud and visible light data, export point clouds in standardised formats, and generate fieldwork reports.
DJI Terra gives you access to key dimensions from the height of a single point, to volumetric measurements. All these tools are simple to use within the DJI Terra software application. Make better use of the data you're collecting with your drone.
Obtain key dimensions and measurements with a range of analysis tools, allowing you to collect coordinates, as well as distance, area, and volume.
Mark up any measurements you take within DJI Terra, allowing you to label the purpose behind the measurement and communicate the data with other team members.
Analyse individual images from the orthomosaic to dive into the detail of a single spot and highlight critical features of any individual image.
DJI Terra - Which drones are compatible?
Harness The Power Of The DJI Ecosystem.
End-to-end Surveying Workflows
Use DJI Terra to plan and execute flights for:
- Phantom 4 RTK (Remote Controller)
- Phantom 4 Pro V2.0
- Phantom 4 Pro + V2.0
- Phantom 4 Pro
- Phantom 4 Advanced and Phantom 4
- Matrice 300 RTK + H20 Series payloads (Route planning: Only Detailed Inspection planning route export is supported).
Use DJI Terra to process data from:
- Phantom 4 Series drones (The P4 Multispectral can be used for 2D multispectral data)
- Zenmuse P1
- Zenmuse L1
- Zenmuse X7
Phantom 4 RTK And DJI Terra FAQs
The DJI Phantom 4 RTK is a low-altitude mapping solution which integrated with DJI Terra.
What should I do to ensure accuracy in my missions when collecting data with the Phantom 4 RTK?
- Conduct your missions in clear weather conditions with high visibility.
- Check the images and videos for brightness and clarity immediately after your mission.
- During a surveying mission, avoid areas with strong electromagnetic interference or obstructions to ensure the accuracy of the attitude algorithm of the Phantom 4 RTK. Also make sure that the remote controller is properly linked to the aircraft.
- Ensure there is enough forward and side overlap. It is recommended to have a forward overlap rate of 80% and a side overlap rate of 70%. Overlap rates can be adjusted depending on the terrain.
When I connect DJI Terra to Phantom 4 RTK, the app tells me that I cannot take off because the RTK signal is too weak. What should I do?
It could be that you are operating somewhere with a lot of signal interference or obstructions, which affects the strength of the RTK signal.
Try turning off the RTK module and take off manually with the GNSS positioning. Once the drone reaches a height where there is less interference, you can turn on the RTK module and connect to DJI Terra to conduct your flight missions.
What is the accuracy when building 2D maps and 3D models with the Phantom 4 RTK?
When using the Phantom 4 RTK, the absolute accuracy achieved by the 2D maps in DJI Terra is around 1 to 2 times the GSD, which is a similar level of accuracy as other data processing software.
When flying at 100m height, the absolute horizontal accuracy of the 2D map is 2-5cm, and the absolute accuracy of the 3D models is within 4cm.
Zenmuse L1 And DJI Terra FAQs
Combine the L1 with the M300 RTK and DJI Terra for an integrated, complete solution for accurate real-time 3D data acquisition.
Once you have the data you need, use DJI Terra for a one-stop post-processing solution. DJI Terra seamlessly fuses the IMU and GNSS data for point cloud and visible light calculations, in addition to conducting POS data calculations, helping you to effortlessly generate reconstructed models and accuracy reports.
Zenmuse L1 LiDAR Point Cloud Process - Help And Advice
Do I need to purchase a license to use the DJI Terra LiDAR to process point cloud?
No, LiDAR point cloud is a free feature, but if you need to use the point cloud accuracy optimisation feature, you need to purchase the license for the professional version or higher.
Does LiDAR point cloud mission create 3D models?
Which data should be imported when doing the LiDAR point cloud process?
Imported folders must include LiDAR point cloud data, RTK data, IMU data, whereas JPEG data can be imported when needed (select the folder named after data collection time).
What is the point cloud effective distance? How do I set up a point cloud effective distance? Under which scenes do I need to set up?
- Point cloud effective distance: The point cloud that exceeds the distance from the LiDAR will be filtered during post-processing.
- How to set up a point cloud effective distance: Estimate the maximum straight-line distance between the location of LiDAR and the corresponding target area when collecting data.
- Under which scenes to set up: When reconstructing a closer measuring area, and when distant background areas are inevitably collected, you can set up an effective distance to get a better result for point cloud.
What is point cloud accuracy optimisation? When do I need to turn on point cloud accuracy optimisation? After it is turned on, what changes would there be for processing quality and time?
- Point cloud accuracy optimisation: Optimise point cloud data scanned at different times to make the overall point cloud accuracy higher.
- When to turn on point cloud accuracy optimisation: When it is off, if the results contain obvious layer malposition, turn on the point cloud accuracy optimisation feature to fix the problem.
What is the default output coordinate system? Can I modify the coordinate?
The default coordinate system is WGS84 and can be modified.
How do I process a point cloud file when it is too large?
You are recommended to separate it into multiple tasks for processing.
What does the value of the Colorbar reflectivity mean? And what would be the range?
The reflectivity of the measured target is between 0 - 255, where 0 to 150 correspond to the reflectivity within the range of 0 to 100% in the Lambertian reflection model; 151 to 255 correspond to the reflectivity of target objects with retroflection properties.
What information does LAS file record?
The 3D coordinates, RGB color, reflectivity, GPS timestamp, number of returns, the actual return number, and scanning angle of the points are recorded, along with the total number of points corresponding to each return, the software and version corresponding to the generated results, and the geographic coordinate system.
What output formats of the files does LiDAR point cloud process?
.pnts, .las, .s3mb, .ply, and .pcd
Zenmuse P1 and DJI Terra FAQs
DJI Terra syncs effortlessly with DJI’s flagship surveying camera payload, the P1; offering detailed and accurate 3D models and measurements.
Zenmuse P1 Calibration
How should I design the calibration route and set parameters? Is RTK required for route collection?
The calibration route can be designed using 5-heading tilt-shift photography or traditional 5-route oblique photography.
To achieve a more reliable calibration result, the following parameters are recommended:
- Capturing no less than 500 images
- The front overlap is no less than 80%
- The side overlap is no less than 70%
- The proportion of oblique images is not less than 2/3
- A calibration scenario with a large elevation difference area
RTK is not required, but the quality of calibration results can be verified through RTK in connection with checkpoint layout.
After reconstruction is complete, how do I check whether the route data meets the calibration standard?
If RTK positioning data is available for calibration route collection, the accuracy of checkpoints can be verified based on the results of the calibration route reconstruction by deploying checkpoints in the survey area. If the accuracy meets the required engineering accuracy, the calibration meets the standard.
If no RTK positioning data is available for calibration route collection, it is impossible to quantitatively evaluate whether the calibration result meets the standard.
However, this can be verified based on the difference between the initial value and the optimised value of camera parameter focal length f and principal points cx, cy for oblique photography reconstruction after camera calibration. If there is no significant difference, the calibration can be considered as meeting the standard.
How often should the load device be calibrated?
How often the load device should be calibrated depends on actual use.
It is recommended to calibrate the camera using the latest reconstruction calibration file when there is a significant difference between the initial value and the optimised value of camera parameter focal length f and principal points cx, cy in the reconstruction quality report, and the reconstruction result meets the engineering accuracy requirements.
P4 Multispectral and DJI Terra FAQs
Import data from the DJI Phantom 4 Multispectral into DJI Terra for multispectral reconstructions.
2D Multispectral Reconstruction
Does the 2D Multispectral Construction mode also support data from other multispectral cameras other than the P4 Multispectral?
Can I create 2D multispectral reconstructions without importing RGB images?
No. Currently RGB images are required for 2D multispectral reconstructions.
Can images of a particular band captured by P4 Multispectral be imported into DJI Terra for 2D multispectral reconstruction?
Yes. You only need to import RGB images and images within the bands required by a particular vegetation index to perform a reconstruction.
Is radiometric correction supported by 2D multispectral reconstruction?
Yes, before reconstruction, calibration data can be imported for radiometric correction.
How many sets of calibration board data are supported for radiation calibration?
Up to three sets of calibration board data are supported.
DJI TERRA LICENCE OPTIONS
Integrate DJI Terra into your workflows.
Choose The Best Package For Your Needs
There are four different options when buying DJI Terra: Agriculture, Pro, Electricity, and Cluster.
All four licences offer a range of drone software benefits, including the ability to conduct real-time 2D mapping and build 2D field reconstructions.
The Agriculture package contains features designed for applications in agriculture/mapping orchards.
The Pro version has all the features of the Agriculture licence, plus additional capabilities, such as performing ROI reconstruction, conducting 3D mission planning, processing Ground Control Points (GCPs), and allowing users to benefit from LiDAR Point Cloud Accuracy Optimisation.
The Electricity package has all of the functions of the Basic and Pro, but has extended capability to provide new optimisations for powerline modelling, helping enterprise users create detailed 3D reconstructions of thin powerlines.
The Cluster licence has the same features as the Electricity package, but supports cluster computing. This enables multiple computers to conduct computations simultaneously, significantly improving efficiency.
All of the differences between the four licences are outlined below.
(Online and Offline Versions)
Real-time 2D mapping
KML File Import
2D Reconstruction (Field)
2D Reconstruction (Urban)
2D Multispectral Reconstruction
Output Coordinate System
Image POS import
3D Mission Planning
Real-time 3D mapping
|LiDAR Point Cloud Accuracy Optimisation||✓||✓||✓|
Cluster Reconstructions - FAQs
What computer equipment configuration is required for cluster reconstruction?
Please refer to Preparation Before Using DJI Terra.
How can I set up a local area network (LAN)?
Please refer to Preparation Before Using DJI Terra.
What is the maximum number of photos that can be processed through cluster reconstruction?
Depending on the highest computer RAM configuration, 1GB of free RAM can handle 8 gigapixels of data (approximately 400 Phantom 4 RTK images).
What is a control device? What is a worker device?
Each computer connected to a local network is either a control device or a worker device. A control device assigns reconstruction missions (and also undertakes part of the computing work), while reconstruction algorithms run mainly on worker device.
Do control devices need to be bound with a license?
Do worker devices need to be bound with a license? Can worker devices be replaced?
Binding is not necessary. Worker devices can be replaced as needed.
Can control devices be turned on at the same time in the same local area network (LAN)?
Can the number of worker devices be increased after the cluster version license is activated?
Yes. For details, please refer to Preparation Before Using DJI Terra.
Which software should be used to open worker devices?
What is the purpose of the Shared Directory?
It is used to store original image data, temporary outputs and reconstruction outputs.
Does aerotriangulation support cluster reconstruction?
Currently supported during the feature point matching phase. Other phases will be computed using the worker device with the highest RAM.
How can I view the working status of worker devices?
The reconstruction mission list displays the status of the worker devices currently participating in the reconstruction.
How control device assign the work of worker devices during cluster reconstruction?
Aerotriangulation: Automatically selects the worker device with the highest RAM to perform the aerotriangulation missions;
Block reconstruction: When the number of blocks is larger than the number of worker devices, the worker devices will be used to the maximum extent.
In cluster reconstruction, can a worker devices participate in the current reconstruction mission again after being restarted or released?
No. To enable a restarted or released worker devices to participate in the current reconstruction mission, you can stop the mission and re-select the devices before continuing reconstruction.
Why is the utilisation rate of integrated graphics cards on worker devices higher than that of discrete graphics cards during reconstruction?
Temporarily not to the step of using a discrete graphics card (integrated graphics cards are not used for computing on DJI Terra).
The following prompt appears when opening the software: “Unable to continue code execution because MSVCR120.dll could not be found. Reinstalling the program may resolve this issue.”
Download and install the application: https://download.microsoft.com/download/2/E/6/2E61CFA4-993B-4DD4-91DA-3737CD5CD6E3/vcredist_x64.exe
No worker device can be found in the Local Network Worker Devices list.
- Ensure that the Shared Directory of the control devices and worker devices are consistent and the paths are accessible;
- Close the antivirus software and security software, then try searching again;
- Disable the firewall of the control and worker devices.
- Try searching again after disabling the virtual network card (Network Settings → Change Adapter Option → Disable Networks Started with Hyper-V).
There are already aerotriangulation results and the photos are stored on the local disk. Will it go through aerotriangulation again if using cluster to do point cloud or model reconstruction?
No, the photos and existing aerotriangulation results will be automatically copied to the network-attached storage (NAS) for cluster reconstruction.
This prompt occurs for a worker device: “Script error.”
1: First, check if you are using software such as Microsoft OneDrive, Outlook, Microsoft Teams and Flash. The software can be uninstalled if not needed;
2: If it is needed, you can try:
- (1) Updating the above software
- (2) Updating the Win10 system
- (3) Updating the driver
- (4) Performing the setting: IE security policy-allow dynamic scripts
- (5) Performing the setting: IE advanced settings-reset
Will any problem with a single device affect the reconstruction mission?
A single worker device error will not cause the reconstruction mission to fail. Any failed worker device mission will be redistributed by the control device. If the redistributed worker device also has errors, the reconstruction mission will fail.
Do cluster missions support resuming from a breakpoint?
Where can I get the logs of cluster reconstruction missions?
- In the control device, open DJI Terra, press Ctrl+Alt+L, find all logs for the corresponding time period of the failed mission in the folder and export the logs;
- Under the shared directory, find all logs of the log folder [slaves_log] corresponding to the mission and export them;
- SDK_log.txt in the models (3D) or map (2D) folder in the cache directory of that mission.
Why are all worker devices in the preparing state at certain stages of reconstruction, while some worker devices are in the working state and the others in the preparing state at certain other stages?
The reconstruction process is divided into several stages which should be carried out in sequence. Some stages are completed independently on the control device, at which point all worker devices will be in the preparing state.
Some stages are split into multiple missions which are then assigned to the worker device for processing. The worker devices that have completed the missions assigned will be in the preparing state, and will enter the next reconstruction stage after the other worker devices have also completed their processing.
DJI Terra Online And Offline Modes
The Difference Between The Two Modes
Some licences can be used online, while others are for offline.
- Online Mode: Connect devices to the internet regularly to verify permissions and use paid features.
- Offline Mode: For users with high requirements for information security, paid features can be used without connecting to the internet.
The following online features are not available in Offline Mode:
- Unlocking GEO Zones
- Map loading and location searching
- Without logging into a DJI account, some flight control functions in DJI Terra will be restricted.
DJI Terra - Latest updates
Constant innovation to enhance DJI Terra.
Update: May 2021
DJI Terra V3.0.0 is launched. Key updates include:
- Cluster Computing: Multiple computers conduct computations simultaneously, significantly improving efficiency, fit for large-scale reconstructions.
- LiDAR Processing Supports processing LiDAR point cloud collected by Zenmuse L1.
The update has also enabled the following improvements:
- 2D DSM and DOM optimisation (for areas with severely irregular building boundaries and sudden elevation changes).
- Real-time 3D model processing speed increased by about 20%.
- 3D reconstruction processing speed increased by about 20%.
- Added PLY format and PCD format to 3D point cloud reconstruction results.
- Task library supports viewing the current reconstruction task list.
- 3D point cloud reconstruction results support display by height.
- Optimised the reconstruction effect of the Zenmuse P1 or other high-resolution images.
- Optimised the accuracy of RTK-enabled real-time reconstruction models.
Update (December 2020)
Supporting Offline Log-in
A new update for DJI Terra provides the following benefits:
- Supports offline login.
- Supports radiometric correction (P4 Multispectral only).
- Adds a new function where a camera calibration file is generated when reconstruction is complete for photos taken with the Zenmuse P1 camera.
Supporting Offline Login
Terra now supports an offline login feature. Users can use most paid features of Terra without connecting their devices to the internet.
Multispectral Radiometric Correction
Using multispectral data from the DJI P4 Multispectral, users can now generate radiometrically calibrated reflectance maps for remote sensing research or produce vegetation index maps including NDVI and NDRE.
Support For P1
This new feature generates a camera calibration file when reconstruction is complete for photos taken with the Zenmuse P1 camera.
With the P1, teams can work on real-time mapping missions gathering geographic information using DJI Terra.
Easy Search and Export
Support has been added to separate flight missions from reconstruction missions.
A search function has also been added to the detailed inspection model bank.
Terra now also supports easy exporting to multiple formats after a reconstruction mission is complete.
Increased Maximum Gimbal Pitch
Terra now supports a maximum gimbal pitch from -90° to +30° for waypoint missions and detailed inspection missions, reducing any unwanted jerks in the camera movement.
Update (August 2020):
400 Times Faster
A new update has been released for DJI Terra, making it 400% more efficient than before - increasing the speed of which you can digitise your job site and obtain the vital information you need.
Prior to the update, 1GB RAM was needed to process 100 images from the Phantom 4 RTK. Now, DJI Terra can process 400 images from the same drone, using the same memory power.
To put this into context and to show how this can benefit your drone surveying jobs:
- Before Update: 64GB RAM needed to convert 22,744 images into a high-quality 3D model in four days.
- After Update: Terra needs only 12GB RAM to perform the same task.
This means that DJI Terra is faster and can process more data from one device than most of its competitors.
The new update has also improved the accuracy of DJI Terra's maps and models. These include:
- Support for third-party camera or third-party PPK data processing where images are separated from position and orientation system (POS). With the new update, the original POS data can be converted to the coordinates system before data processing to solve the problem of inconsistency in height.
- Exporting Aerotriangulation results in XML or DJI Terra format to third-party photogrammetry software is now possible. This includes support for applying external parameters to images for distortion correction.
- 3D model reconstruction now supports the five camera oblique system. So, you will be able to plan five flight routes to capture the same amount of data as you would have attained using five cameras simultaneously on a drone. The routes will correspond to the five camera headings – downward, forward, backward, leftward, and rightward.
- Semantic segmentation and automatic flight route generation have been enabled for 2D field reconstruction. And for those using multispectral sensors, support for generating semantic maps, prescription maps, and flight routes with varied spraying amounts has been added in 2D multispectral reconstruction.
- Support for SuperMap point cloud reconstruction in S3MB has been added.
- New capabilities added for energy industry users, focusing specifically on automatic mission planning and 3D reconstruction for powerline inspections.
Supports offline login. Most paid features of Terra are available without connecting a device to the internet.
- Supports radiometric correction (P4 Multispectral only).
New function where a camera calibration file is generated when reconstructionis complete for photos taken with the Zenmuse P1 camera.
Frequently Asked Questions
Frequently Asked Questions
Your Questions - Answered
DJI Terra Agriculture, Pro, Electricity, and Cluster can be purchased through Heliguy.
Your license comes into effect starting the day the device is bound to DJI Terra.
DJI Terra Agriculture: 1 year
DJI Terra Pro: 1 year
DJI Terra Pro: Permanent
DJI Terra Electricity: 1 year
DJI Terra Cluster: Permanent
You can unbind your DJI Terra Agriculture, Pro, Electricity and Cluster licenses (Except Agras-gift Agriculture license). To unbind, please contact us. The 1-device licenses can be unbound once in each natural year. 3-device licenses can be unbound twice in each natural year. Once processed, all devices registered under the license will be unbound.
It is the one-year period from the first date of binding any permanent package after purchase, during which you can update to any version released in that period for free and use all functions included in the package.
The paid functions will not be available, but you can still use the basic functions.
No, the license is bound to the device's hardware and therefore replacing hardware would invalidate the license.
Phantom 4 RTK, Phantom 4 Pro V2.0, Phantom 4 Pro+ V2.0, Phantom 4 Pro, Phantom 4 Advanced and Phantom 4. The Phantom 4 does not support 2D Real-time Mapping.
DJI Terra supports NDVI, GNDVI, NDRE, LCI, and OSAVI vegetation indices on the Phantom 4 Multispectral, but does not have a vegetation index calculator function. Currently, the 2D Multispectral Construction mode does not support data from any other multispectral cameras other than the P4 Multispectral.
The following online features are not available in Offline Mode:
There are three possible reasons cause this problem:
Phantom 4 RTK, Matrice 300 RTK.
Yes, LAS point cloud files can be imported.
Yes. You should set the coordinate system when you first import the file. If the file uses an arbitrary coordinate system, you need to correct it using third-party point cloud correction software.
No, the aircraft needs to be flown at absolute altitude.
DJI Terra’s Oblique Mission uses five flight routes to capture the same amount of data as using five cameras simultaneously on a drone. The five flight routes correspond to the five camera headings – downward, forward, backward, left and right.
If you have access to a mobile device that has an internet connection (such as a cellphone), you can turn on the hot spot so that the laptop can be connected to the internet.
In photogrammetry and remote sensing, ground sample distance (GSD) in an aerial digital photo (such as an orthophoto) of the ground is the actual distance on the ground captured as represented by pixels. The unit is cm/pixel.
Relative Height in Advanced Settings is the height of the takeoff point relative to the area being mapped. Mission Altitude is the height of the drone relative to the area being mapped, which is also how ground sample distance (GSD) is calculated.
When there is a large difference between the elevation of the takeoff location and the elevation of the area being mapped, you can adjust the Relative Height in Advanced Settings to ensure that the Mission Altitude is determined considering the elevation of the area being mapped.
t is recommended to have a forward overlap rate of 80% and a side overlap rate of 70%, which should meet the requirements for most application scenarios.
Phantom 4 RTK (Remote Controller), Phantom 4 Pro V2.0, Phantom 4 Pro + V2.0. Note: point clouds may be of poor quality or be unavailable in environments without RTK signals.
To build reconstruction models as quickly as possible, DJI Terra uses all the computer resources available, including the CPU, RAM, and VRAM of the graphics card, which could make the computer slower while running DJI Terra but should not be a problem once the processing is finished.
The Field Scenario is designed to capture data from a relatively flat land, for example rice or wheat fields.
There is no difference. If only Nadir view images are available, it is recommended to use a mapping mission for building 2D maps. If oblique photos are available, you can choose an oblique photography mission.
There are three options for reconstruction resolution: high, medium, and low, which will generate models at full, half, and quarter resolution respectively. The higher the resolution the better the quality of the reconstructed models. The rough ratio of time consumption for reconstruction at high:medium: low resolutions is about 16:4:1.
Gaps in the model can be due to missing shots of the area being mapped, or images taken at poor angles. The quality of reconstruction can be affected by factors such as reflective surfaces in the area (water or glass), or large areas of the same colour or pattern (white walls, skies).
Yes, this can be achieved before reconstruction. After aerial triangulation optimisation is complete, crop 2D and 3D models by specifying the reconstruction area using the ROI modeling function.
The accuracy of the reconstruction can be affected by factors such as camera distortion, image quality, flight height, side and forward overlap settings, GPS (RTK) positioning accuracy and the area’s texture information.
Due to limitations in the computer’s processing capacity, you can only run multiple reconstructions at the same time. They will be processed in the order in which they are added to the lineup.
Update the GPU driver.
No. Currently RGB images are required for 2D multispectral reconstructions.
Yes, the .obj files generated in DJI Terra can be imported into Maya, Blender, SketchUp, and 3ds Max. Look up tutorials for the specific process for each software.
Yes, .b3dm, .osgb, and .ply files generated by DJI Terra are universal file formats and can be embedded into webpages. You can find instructions for embedding each of these formats online.
Theoretically they can be used to reconstruct 3D models although the quality might suffer. They cannot be used to build 2D reconstructions.