Opportunity

SAM #140G0126Q0206

USGS Solicits Two Leica BLK360G2 Laser Scanners for Ecosystem Monitoring

Buyer

USGS Office of Acquisition and Grants

Posted

July 02, 2026

Respond By

July 15, 2026

Identifier

140G0126Q0206

NAICS

334516, 334511

The US Geological Survey (USGS) EROS Science Center is seeking to acquire advanced terrestrial laser scanning equipment for ecosystem monitoring and vegetation surveys. - Government Buyer: - U.S. Geological Survey (USGS), National Acquisition Branch, EROS Science Center, Sioux Falls, SD - OEMs and Vendors: - Leica (Original Equipment Manufacturer) - Products/Quantities/Part Numbers: - Two (2) Leica BLK360G2 Imaging Laser Scanners - Part Number: BLK360G2 - Also referenced as Leica BLK360 LiDAR Scanner (NSN: 7540-01-152-8067) - Product Features and Requirements: - 3D imaging laser scanner with integrated spherical imaging system - Wireless network connectivity (802.11 b/g/n) - Internal memory for at least 500 data captures - Rechargeable Li-Ion battery for at least 50 scans - Laser class 1 system, near-infrared laser (~830 nm) - 360° horizontal and 270° vertical field-of-view - Range: 0.5 m to 45 m; point measurement rate up to 680,000 points/sec - Real-time pre-registration of multi-setup point cloud data - 3D point accuracy minimum 4 mm @ 10 m - Suitable for indoor/outdoor use, operating temperature 0-40°C, IP54 dust/humidity protection - Notable Requirements: - Brand name justification: Leica BLK360G2 required for compatibility with existing automated data processing, visualization, and distribution systems - Delivery required within 30 days after award - Supports multi-agency wildland fire science research and ecosystem monitoring

Description

The USGS EROS Science Center in Sioux Falls, SD supporting the Core Science Systems Mission Area requests two (2) BLK360 G2 laser scanners. The primary use will be to conduct vegetation surveys in different landscape types to characterize surface and canopy vegetation, fuels type, size, and orientation, and for computation and modeling of various ecosystem monitoring metrics to support ongoing wildland fire science research. These instruments will augment existing instruments as part of a large, multi-agency program and utilize an existing automated data processing, visualization, and distribution system.

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