DJI Terra Update For Drone LiDAR Data Processing


DJI Terra Firmware Update 4.0.1 introduces a host of new features tailored for enhanced LiDAR data processing capabilities:

  • Streamlined contour line generation now empowers users with more efficient LiDAR point cloud reconstruction missions.
  • The Profile function of LiDAR point cloud reconstruction missions now boasts added measurement tools and gridlines for enhanced precision.
  • Experience optimized noise reduction effects within LiDAR point clouds for improved data clarity.
  • Enjoy a significant improvement in point cloud reconstruction efficiency, now approximately three times faster than the previous version (v3.9.4).
  • Users employing the DJI Zenmuse L2 and DJI Zenmuse L1 can seamlessly integrate these upgrades into their data processing workflows.

This update significantly enhances the efficiency and functionality of DJI Terra for processing drone LiDAR data.

Highlighted Features of Version 4.0.1 include:

  • Contour line generation tailored for LiDAR point cloud reconstruction missions.
  • Added measurement and gridlines within the Profile function for precise analysis.
  • Optimized noise reduction for clearer data interpretation.
  • Improved point cloud reconstruction efficiency, boasting a remarkable threefold increase compared to v3.9.4.
  • Compatibility with data collected using the DJI Zenmuse L2 and DJI Zenmuse L1.

Explore further details on these enhancements in our comprehensive blog.

Increase in Raw Point Cloud Maximum Size

This update also expands the maximum size limit of the raw point cloud for processing, allowing for the handling of larger datasets with your existing setup. Refer to the table below for a clear comparison.

Available RAMMax Size Of Raw Point Cloud
(Version earlier than Terra v4.0)
Max Size Of Raw Point Cloud
(Terra v4.0 and later versions) 

Vertical Profile Tool Enhancement

In a recent update, DJI Terra introduced the capability to visualize cross-sections of LiDAR point clouds.

Continuing this trajectory of improvement, the latest update further enhances Terra’s functionality by incorporating support for measurements and gridlines within the vertical profile function of LiDAR point cloud reconstruction missions.

Below is a vertical profile excerpt from the dataset, illustrating a stockpile.

zenmuse L2

Now, you can activate grid lines to provide a better understanding of your scale.

zenmuse L2

And you can conduct measurements directly from the vertical profile tool, providing information on the slope, as well as the straight, horizontal, and vertical distance.

zenmuse L2

Contour Line Generation Capability

DJI Terra has been enhanced to facilitate the creation of contour lines from LiDAR point cloud data.

Contours serve to delineate terrain elevation, offering a more precise representation of the landscape compared to those derived from a Digital Terrain Model (DTM).

To initiate contour generation, simply access the Point Cloud Processing feature and activate the options for Generate DEM and Ground Point Classification.

dji terra

Upon enabling contour generation, you will encounter the following adjustable parameters:

  1. Interval: This parameter allows you to specify the vertical spacing between contour lines.
  2. Datum: Used to establish the baseline elevation for contour lines.
  3. Elevation Annotation Radius: Determines the distance from which DJI Terra annotates elevation levels across the model.
  4. Discard Invalid Contour Lines: Enabling this option prompts the system to remove any contour lines shorter than the defined minimal contour length from the generated drawing file.

These parameters can be adjusted according to your requirements. Once configured and saved, the resulting drawing files can be seamlessly imported into third-party CAD software for visualization purposes.

In the images provided below, the contours are displayed in Esri ArcGIS (left), where elevation changes are denoted by color, and Terrasolid (right).

dji terra