Detection and characterisation of the forest road network using LiDAR

森林道路是可持续森林管理的基本前提，为营林作业提供通道，如种植、林分抚育和采伐，对其他活动，如灭火和通道，也至关重要。道路也被用来提供娱乐活动的通道，包括露营、徒步旅行或狩猎。对公路网的管理至关重要的是，保持有关林区内路面数量和质量的最新和准确信息。该项目的目的首先是开发和验证新的方法来准确定位魁北克的森林道路，其次是预测森林道路的状况(或属性)。全球定位系统将利用魁北克最近一次机载激光扫描(ALS)数据采集的高空间精度和覆盖全省的优势。道路属性预测和时间更新将混合使用卫星图像分析、参与式地理信息系统和深度学习。我们的研究将在四个核心领域进行，涵盖影响魁北克全境道路发展和状况的一系列环境条件。该团队高度致力于推动ALS加拿大的使用。更新后的路层将在魁北克森林、野生动物和公园部支持的开放获取平台(https://www.foretouverte.gouv.qc.ca/))上提供，这将使感兴趣的用户能够直接获取研究成果。

Forest roads are an essential prerequisite for sustainable forest management providing access for silvicultural operations, such as planting, stand tending, and harvesting, as well as being critical for other activities such as fire suppression and access. Roads are also used to provide access for recreational activities including camping, hiking or hunting. Critical to the management of the roads network is maintaining up-to-date and accurate information on both the quantity and the quality of road surfaces within a forest estate. The aims of this project are first to develop and validate new approaches to accurately locate forest roads across Quebec, and second to predict the condition (or attributes) of forest roads. For location will take advantage of the high spatial accuracy and province-wide coverage of the most recent airborne laser scanning (ALS) data acquisition in Quebec. Road attribute predictions and temporal updates will be derived from a mixture of satellite imagery analysis, participatory GIS and deep learning. Our research will be conducted in four core areas, covering a range of environmental conditions affecting road development and condition across Quebec. The team is highly committed to advancing the use of ALS Canada. The updated road layers will be made available on an open-access platform (https://www.foretouverte.gouv.qc.ca/) supported by the Quebec Ministry of Forests, Wildlife and Parks, which will enable interested users to gain direct access to the research outcomes.