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

多姆塔是魁北克南部一处总面积超过16万公顷的巨大森林庄园的所有者。总共建立了2250多个永久性样地，并定期进行测量，目的是监测(并不断改进)适用于该林区的营林系统的效果。作为魁北克森林、野生动物和公园部开展的全省调查活动的一部分，Domtar最近获得了覆盖其整个森林产业的机载激光扫描(ALS)数据。这项Engage Grant的目的将是开发一种科学合理的、最先进的战略，以最大限度地利用他们的ALS数据。这项工作将按以下顺序进行：1.生成选定的ALS衍生的森林区域的“墙到墙”指标；2.审查当前的野外样地计划和测量，并评估它们对ALS衍生模型的实用性；3.采用结构指导的抽样方法，评估当前地面样地网络的代表性；4.为Domtar举办技术转让研讨会，向员工展示如何使用R中的免费和开源LIDR包。这将帮助员工发展对如何有效使用ALS数据的一般理解，以及他们使用和分析可用ALS数据的能力。

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.