Development of advanced scalable 3D spatial techniques for multi-spectral LiDAR point cloud modeling of boreal forest inventory attributes, above-ground carbon, and wildfire fuel.

开发先进的可扩展 3D 空间技术，用于北方森林库存属性、地上碳和野火燃料的多光谱 LiDAR 点云建模。

• 批准号: 570298-2022
• 负责人: Okhrimenko, MaximM
• 金额: $ 2.55万
• 依托单位: University of Lethbridge
• 依托单位国家: 加拿大
• 项目类别: Alexander Graham Bell Canada Graduate Scholarships - Doctoral
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=755151
• 关键词: Development; advanced; scalable; 3D; spatial

multispectral LiDAR, forest inventory, carbon stock, wildfire fuel load, ecological habitat mapping, spatial point patterns, above ground biomass, data fusion, machine learning, stochastic geometry

多光谱激光雷达、森林调查、碳储量、野火燃料负荷、生态栖息地测绘、空间点模式、地上生物量、数据融合、机器学习、随机几何