Leica Geosystems Makes Mapping More Accessible with TerrainMapper-3

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Leica Geosystems

Leica Geosystems, part of Hexagon, offers the Leica TerrainMapper-3 airborne LiDAR sensor, featuring new scan pattern configurability to support a variety of construction applications and requirements in a single system.

Building upon Leica Geosystems’ legacy of LiDAR efficiency, the TerrainMapper-3 provides three scan patterns to customize the sensor’s performance to specific applications. Circle scan patterns enhance 3D modelling of urban areas or steep terrains, while ellipse scan patterns optimize data capture for more traditional mapping applications. Skew ellipse scan patterns improve point density for infrastructures and corridor mapping applications.

The sensor’s higher scan speed rate allows customers to fly the aircraft faster while maintaining data quality and the 60-degree, adjustable field of view maximizes data collection with fewer flight lines. The TerrainMapper-3 is complemented by the Leica MFC150 4-band camera, operating with the same 60-degree field of view coverage as the LiDAR for consistency.

Thanks to reduced beam divergence, the TerrainMapper-3 provides planimetric accuracy, while new MPiA (Multiple Pulses in Air) handling guarantees more consistent data acquisition, even in steep terrain, providing users with reliability and precision. The new system introduces possibilities for real-time full waveform recording at maximum pulse rate, opening new opportunities for automated point classification.

The TerrainMapper-3 integrates with Leica HxMap end-to-end processing workflow, supporting users from mission planning to product generation.

“We recognized the critical need for an efficient, fully configurable solution to support multiple LiDAR applications in a single system," said Layton Hobbs, airborne product line director at Leica Geosystems. "With its exceptional accuracy and versatility, and cutting-edge technology, the Leica TerrainMapper-3 opens up a world of possibilities and it's a game-changer for a data-driven future.”

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