Introducing the DJI Zenmuse L2: High-Precision Aerial LiDAR System
Elevate Your Geospatial Data Acquisition:
We are proud to introduce the DJI Zenmuse L2, a state-of-the-art aerial LiDAR system that integrates frame LiDAR, a high-accuracy IMU system, and a 4/3 CMOS RGB mapping camera. This system is designed to provide DJI flight platforms with unparalleled precision, efficiency, and reliability in geospatial data acquisition.
Key Features:
Integrated LiDAR Solution: Offers precise scanning of complex subjects and faster point cloud acquisition, with the ability to preview, playback, and process point cloud models on-site.
High-Level Precision: Achieves 4 cm vertical accuracy and 5 cm horizontal accuracy, enhancing the quality of geospatial data.
Exceptional Efficiency: Capable of covering a 2.5 km² area in a single flight, ready for immediate operation upon powering on.
Superior Penetration and Range: Detects smaller objects with more details and can penetrate denser vegetation, with a detection range of up to 450 meters.
Versatile Scanning Modes: Supports two scanning modes for varied operational demands, including repetitive scanning for uniform point clouds and non-repetitive scanning for deeper structural information.
High-Accuracy IMU System: Provides highly accurate position, speed, and attitude information, enhancing operational reliability and precision.
Enhanced Operational Experience: Offers diverse flight route types, point cloud LiveView, playback and merging, and one-click processing on DJI Terra.
Wide Application Scenarios: Ideal for land surveying and mapping, electricity management, forestry, infrastructure management, and more.
Transform Your Surveying and Mapping Operations:
The DJI Zenmuse L2 is more than just a LiDAR system; it's a comprehensive solution that significantly elevates the capabilities of aerial surveying and mapping. Whether it's for land surveying, forestry management, or infrastructure inspection, the Zenmuse L2 is equipped to deliver high-precision results efficiently and reliably
