| 2023-HABI-69979 | |
| NCS: Researchers at Purdue University developed a new system for forest inventory assessment, surpassing current methods which are labor-intensive, expensive, and inaccurate. The Purdue researchers' method integrated LiDAR units mounted on an unmanned aerial vehicle (UAV) and backpack mobile mapping systems (MMS) equipped with integrated Global Navigation Satellite System/Inertial Navigation System (GNS/INS). With system calibration and trajectory enhancement using aerial and ground-based data, the combined system provides high quality point clouds for accurate, high-resolution forest inventory. The researchers evaluated their method with two UAV and one backpack datasets covering a forest plantation. This groundbreaking technology can assist in the prevention of forest fires and forest and pest management, along with carbon sequestration measurements. Technology Validation: The UAV datasets achieved relative and absolute accuracy in the range of 0.1 m. The backpack dataset achieved relative and absolute accuracy of 2 cm and 10 cm, respectively. Advantages: - High accuracy - High resolution - Lower cost than manned airborne systems Applications: - Estimating forest inventory - Prevention of forest fires - Forest management - Carbon sequestration measurement |
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Nov 15, 2022
Provisional-Patent
United States
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Purdue Office of Technology Commercialization The Convergence Center 101 Foundry Drive, Suite 2500 West Lafayette, IN 47906 Phone: (765) 588-3475 Fax: (765) 463-3486 Email: otcip@prf.org |
