How Zenmuse L2 is Transforming Mineral Exploration and Mapping 

19 December 2025

The minerals industry plays a vital role in the global economy. From construction to manufacturing, technology, and energy production, minerals provide the raw materials that keep the world moving. But managing these resources is not easy. 

Surveying stockpiles and structures is a critical part of the job, yet traditional methods are often slow, risky, and expensive. Workers spend long hours in dangerous conditions, and even then, results can be inconsistent. 

Today, a new solution is changing the way surveys are done. With the DJI Zenmuse L2 LiDAR sensor, mounted on the DJI Matrice 350 RTK drone, and supported by the Emild RS3 GNSS receiver and DJI Terra processing software, mineral exploration has become fastersafer and far more accurate.  

Challenges in Mineral Exploration 

Surveying stockpiles and structures in mines is not easy. Common problems include: 

  • Inaccurate measurements with traditional conveyor or manual methods 

  • Safety risks for workers climbing piles or inspecting tall structures 

  • Slow inspection processes that cause downtime and delays 

  • Heavy reliance on manpower, which increases costs and risks errors 

To overcome these issues, the industry needs a solution that is fast, consistent, and data driven

Equipment and Uses 

DJI’s ecosystem offers a complete solution designed to address these issues: 

  • DJI Matrice 350 RTK – Industrial drone with 55 minutes of flight time, weather resistance, and night vision for tough environments. 

  • Zenmuse L2 LiDAR sensor – Produces dense and accurate point clouds for precise stockpile and structural measurements. 

  • Emlid RS3 GNSS receiver – Provides accurate positioning with long endurance and robust field performance. 

  • DJI Terra software – Transforms LiDAR and GNSS data into 2D maps, 3D models, and digital elevation outputs for analysis. 

With these tools, inspection teams can collect millions of data points in minutes, delivering accurate and repeatable results that manual surveys cannot match. 

Mission Execution 

A structured workflow ensures the best results. The case study followed three main stages: 

  • Stage 1– Mission Planning 

Using DJI Pilot 2, the team designed flight routes over the survey area. Parameters like altitude, scanning mode, and overlap were set to ensure complete coverage. 

  • Stage 2 – Data Acquistion 

Before takeoff, the Emlid RS3 was activated to log positioning data. The Matrice 350 RTK with Zenmuse L2 then performed automated LiDAR scans, capturing millions of data points. 

  • Stage 3 – Analysis and Reporting 

The data was processed in DJI Terra, which combined LiDAR scans with GNSS logs to generate georeferenced 3D point clouds. From here, the team conducted: 

  • Stockpile Analysis: Measured iron ore volumes with precise calculations for inventory management. 

  • Structure Analysis: Assessed areas like the trestle roof, ensuring accurate measurements for potential replacement. 

  • Topographical Insights: Created digital elevation models for a clear understanding of the terrain. 

These deliverables ensured that decision makers had precise, actionable data to guide operations. 

Why This Matters for the Minerals Industry 

The benefits of this workflow go beyond speed: 

  • Consistency – Every survey produces reliable, repeatable results. 

  • Safety – Workers no longer need to climb stockpiles or dangerous structures. 

  • Efficiency – Projects that once took days now finish in hours. 

  • Cost Savings – Less downtime and fewer field resources lead to significant savings. 

Conclusion 

The integration of the DJI Matrice 350 RTKZenmuse L2Emlid RS3, and DJI Terra has transformed mineral exploration. 

By replacing manual surveys with drone-based LiDAR, companies gain accurate data, safer operations, and faster results. This is not just an improvement. It is a new standard for stockpile management and mineral site mapping. 

For an industry that depends on both precision and safety, the Zenmuse L2 is proving to be an indispensable tool for the future of exploration. 

Tags: 
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