Linking traditional forest inventory data with airborne laser scanning (ALS) measurements******

Domtar是魁北克南部一片面积超过16万公顷的大片森林的所有者。总共建立了2 250多块永久性样地，并定期进行测量，目的是监测（并不断改进）适用于该森林区的造林系统的效果。作为魁北克森林、野生动物和公园部开展的全省范围调查活动的一部分，Domtar最近获得了覆盖其整个森林的机载激光扫描（ALS）数据。这项参与补助金的目的是制定一个科学合理的，最先进的战略，以最大限度地利用他们的ALS数据。工作将按以下顺序进行：1.在森林地产上生成选定的ALS衍生的“墙到墙”度量; 2.审查当前的现场绘图程序和测量，并评估其对ALS衍生模型的实用性; 3.采取结构性指导抽样方法，评估当前地面地块网络的代表性; 4.为Domtar举办一个技术转移研讨会，向员工展示如何使用R中的免费开源lidR包。这将帮助员工不仅对如何有效使用ALS数据有一个大致的了解，而且还能帮助他们使用和分析可用的ALS数据。

Domtar is the owner of a vast forest estate totalling over 160,000 ha in southern Quebec. In total, more than 2,250 permanent sample plots (PSPs) have been established and measured periodically with the objective to monitor the effects of (and continuously improve) the silvicultural systems applied to this forest estate. As part of a province-wide surveying campaign conducted by Quebec's Ministry of Forests, Wildlife and Parks, Domtar have recently gained access to Airborne Laser Scanning (ALS) data covering their entire forest estate. The aim of this Engage Grant will be to develop a scientifically sound, state of the art, strategy to make the best possible use of their ALS data. The work will be conducted in the following sequence: 1. Generation of selected ALS-derived "wall-to-wall" metrics over the forest estate; 2. Review current field plot program and measurements and assess their utility for ALS derived models; 3. Undertake a structurally guided sampling approach to assess the representiveness of the current network of ground plots; 4. Present a tech transfer workshop for Domtar in which staff will be shown how to use the free and open-source lidR package in R. This will help employees develop not only a general understanding of how ALS data can be used effectively, but also their ability to use and analyze the available ALS data.