Skylark Lightweight UAV LiDAR System

SureStar Skylark Lightweight UAV LiDAR System

Skylark is SureStar’s best-in-class mapping LiDAR system specifically designed for larger drones and manned light aircraft. With an acquisition range of up to 1,500 meters, and a point density 3 times that of a small format 360° FOV airborne LiDAR, Skylark is the perfect choice for 1:500 topographic mapping and other high-density point cloud applications. Its uniquely high point acquisition rate means Skylark can be mounted to flying platforms ranging from large multi-rotor UAVs to fixed-wing aircraft with flying speeds of 100km/h. With cutting-edge technologies inside, Skylark has been applied to transmission line inspection, topographic mapping, 3D city modeling, water conservancy survey, forestry census, and geological disaster assessment.

details

Skylark is SureStar’s best-in-class mapping LiDAR system specifically designed for larger drones and manned light aircraft. With an acquisition range of up to 1,500 meters, and a point density 3 times that of a small format 360° FOV airborne LiDAR, Skylark is the perfect choice for 1:500 topographic mapping and other high-density point cloud applications. Its uniquely high point acquisition rate means Skylark can be mounted to flying platforms ranging from large multi-rotor UAVs to fixed-wing aircraft with flying speeds of 100km/h. With cutting-edge technologies inside, Skylark has been applied to transmission line inspection, topographic mapping, 3D city modeling, water conservancy survey, forestry census, and geological disaster assessment.     



Max range: 1500 m

Elevation accuracy:< 5 cm

Plane accuracy:< 10 cm

Pulse frequency:1MHz

Scanning FOV:70°*40°

Laser safety: Class I

Laser echo: multiple

Flying altitude:100 - 700 m

Weight: 3.3 kg (no camera)

Operating temperature:-20~55℃

Scanning mode:Oblique ellipse

Scanning frequency:20~100 Hz

Mapping scale: 1:500 / 1000/2000 (no ground control point) 



Forestry
Forestry
Mining
Mining
Topographic mapping
Topographic mapping


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