Forest feature LiDAR SLAM (F2-LSLAM) for backpack systems

T Zhou, C Zhao, CP Wingren, S Fei, A Habib - ISPRS Journal of …, 2024 - Elsevier
Recent advances in sensor and algorithmic technologies have led to the exploration of
remote/proximal sensing for automated forest inventory at various scales. For detailed below …

[HTML][HTML] Delineating and reconstructing 3D forest fuel components and volumes with terrestrial laser scanning

Z ** vegetation structure using terrestrial mobile laser scanning.
J Tiede, K Reinke, S Jones - Ecological Informatics, 2024 - Elsevier
Abstract Mobile Laser Scanning (MLS) is rapidly increasing in popularity for the capture and
quantification of vegetation structure in natural landscapes. However, understanding the …

Forest Stem Extraction and Modeling (FoSEM): A LiDAR-Based Framework for Accurate Tree Stem Extraction and Modeling in Radiata Pine Plantations.

M Ibrahim, H Wang, IA Iqbal, Y Miao… - Remote …, 2025 - search.ebscohost.com
Accurate characterization of tree stems is critical for assessing commercial forest health,
estimating merchantable timber volume, and informing sustainable value management …

Detecting natural gas storage microleakage based on K-means clustering under constraint of Jeffries-Matusita distance criterion using mobile LiDAR data

X Wang, K Li, J Jiang, X Cui, Y Pan, K **_Systems_for_Deriving_Accurate_Comprehensive_Products/23774427/1/files/48276832.pdf" data-clk="hl=ro&sa=T&oi=gga&ct=gga&cd=6&d=14981069162741516554&ei=O6DGZ8SSE9WUieoPn7TdmQw" data-clk-atid="CknEyAdz588J" target="_blank">[PDF] purdue.edu

Integration of Camera and LiDAR Units onboard Mobile Map** Systems for Deriving Accurate, Comprehensive Products

T Zhou - 2024 - search.proquest.com
Modern mobile map** systems (MMSs)--such as Uncrewed Aerial Vehicles (UAVs),
backpack systems, Unmanned Ground Vehicles (UGVs), and wheel-based systems …