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Advances in Drone Positioning and a Comparison of L1 and L2 Lidars and Thermal Sensors with Multiple Applications

Decorative image for session Advances in Drone Positioning and a Comparison of L1 and L2 Lidars and Thermal Sensors with Multiple Applications

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What:
Talk
When:
11:00 AM, Wednesday 30 Oct 2024 (30 minutes)
Where:
Big Four Roadhouse - Theatre 4
Tag:
Remotely Piloted Aircraft Systems
With drones like the DJI Matrice 300 now being positioned using RTK GNSS, combined with Structure from Motion (SfM), high precision mosaics are possible without deploying targets. The ability to mount lidars (DJI L1 and L2) and other optical sensors (RGB, multispectral, thermal) allows for precise surveying and the production of high resolution and high accuracy mosaics with minimal ground control. While battery power still remains an issue and the limiting factor for flight duration (10’s of hectares per flight).  Over the past two years, researchers at the Applied Geomatics Research Group, a spinoff of COGS in 2000, part of the Nova Scotia Community College, have been conducting research utilizing the M300 RTK drone from DJI and comparing outputs and accuracy of the DJI L1 and L2 lidar. They have also conducted experiments and compared the thermal sensitivity and accuracy of the DJI HT20 with the MicaSense Altum-PT sensor. The L2 sensor is far superior to the L1 lidar, especially in terms of obtaining details about the forest structure and mid-canopy. The L2-lidar sensor is also superior in terms of its relative and absolute accuracy. We have used a combination of L1 and L2 lidars on the M300 drone to made changes in volume and material along the costal zone as well as forestry applications that will be demonstrated.

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