DJI Zenmuse L1

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The Zenmuse L1 is DJI’s first LiDAR solution for aerial surveying. High-precision IMU, Livox LiDAR sensor, 1″ 20MP CMOS, 3-axis Gimbal. Shop Now.


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Set Alert for Product: Zenmuse L1 - £12,750.00
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SKU: 1C2F9A14
Last updated on March 1, 2024 5:15 pm


DJI Zenmuse L1

Team UAV GeoLab from the Warsaw University of Technology, together with in cooperation with the company Skysnap conducted a series of test flights with a laser scanner DJI Zenmuse L1. Test flights took place in two different areas. The first area was the aggregate landfill by a newly built road near Mława in June 2021. Additionally, on August 9, flights were carried out over the test field for Lidar UAV systems near Warsaw. The nature of the facilities varied; the first area was uncovered, mainly with aggregate dumps and low voltage lines. On the second site were trees, low buildings and elements of the test field.

After obtaining the data in the DJI Terra program, clouds of points were generated. The DJI Terra program is an intuitive program that requires you to select the path to the folder with the input data, indicates the resulting coordinate system and select data processing parameters.

DJI Zenmuse L1
Figure 1: A point cloud from one of the flights over the test field near Warsaw generated in the DJI Terra program

In the next step, after processing the data from the raids, the GeoLab UAV team conducted a series of experiments and analyses based on the obtained data and geodetic field measurements. Examples of analyzes are point cloud density depending on flight altitude, speed, frequency and scanning pattern, point cloud accuracy analysis based on points with known coordinates, height differences between adjacent series (scanning stripes), and standard deviation of point distribution on a flat surface, e.g. on the way. Based on the data, visualizations of aggregate storage sites were also made, which can later be used to measure the volume.

DJI Zenmuse L1
Figure 2: Example of a 3D model for aggregates
DJI Zenmuse L1
Figure 3: Example of a point cloud from the Zenmuse L1 Scanner

There were low-voltage lines in the aggregate storage area. Due to the high density of data from the L1 scanner, points were also registered on the lines, as shown in the visualization below.

DJI Zenmuse L1
Figure 4: Low voltage line mapping to data from the DJI Zenmuse L1 scanner

The DJI Zenmuse L1 scanner allows you to record data in two scanning modes: circular (non-repetitive, [a]) and linear mode (repetitive, [b]).

DJI Zenmuse L1

A point cloud has a different point density distribution depending on the scan mode selected. When scanning in circular mode, the point cloud density decreases as you move away from the centre of the scan belt. In linear mode, the cloud density is more constant across the row, with a higher cloud density at the extremities.

DJI Zenmuse L1
Figure 5: Point cloud density for one series per m2 – circular scanning mode
DJI Zenmuse L1
Figure 6: Point cloud density for one series per m2 – linear scan mode

In the DJI Terra program, you can select data processing parameters – Optimize point cloud accuracy. When selected, the accuracy of the point cloud is expected to be more significant. A comparison of the height models of the generated two-point clouds was performed: with and without using the Optimize point cloud accuracy function. The differences between the height models for flat areas and heaps are in the range of – / + 10 cm.

DJI Zenmuse L1
Figure 7: Difference between elevation models generated from two-point clouds processed using different parameters in DJI Terra

Based on the data obtained over the test field in Józefosław near Warsaw, it was possible to analyze, among other things, the passage of the laser beam through trees in the case of three different scanner frequencies, which also differ in the number of registered reflections (registration of a maximum of 1, 2 and 3 beam reflections, respectively). For this purpose, cross-sections through 1 m wide point clouds were made, and all clouds were obtained from the height of 50 m AGL.

DJI Zenmuse L1
Figure 8: Cross-section through the cloud – registration of 1 reflection
DJI Zenmuse L1
Figure 9: Cross-section through the cloud – registration of 2 reflections
DJI Zenmuse L1
Figure 10: Cross-section through the cloud – registration of 3 reflections

The cross-sections show that the canopy of trees is similar regardless of the scanning frequency. On the other hand, the more beam reflections are recorded, the more points are visible in the lower parts of trees and on the ground.

In addition, analyzes were performed based on objects in the test field. The results show that the errors are within 5 cm for most of the objects, and for four planes, these errors were more significant and reached 20 cm.

DJI Zenmuse L1


The results showed that the measurement accuracy with the DJI Zenmuse L1 is acceptable. When comparing the point cloud with the reference measurements, differences of 5-10 cm were obtained. Clouds of points from the L1 laser scanner are characterized by higher noise than other UAV laser scanners available on the market, which are also characterized by a higher price. It is worth noting that the DJI Zenmuse L1 scanner is 2-3 times cheaper than its competitors; hence the noise may be a bit higher. This means a more significant standard deviation of the point distribution on planar points for point clouds in overlapping adjacent stripes also varies from 5 to 10 cm.

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