用于决策支持和利益相关者交流的虚拟森林

IF 4.8 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Environmental Modelling & Software Pub Date : 2024-07-18 DOI:10.1016/j.envsoft.2024.106159
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引用次数: 0

摘要

由于气候变化及其相关风险,森林管理面临的挑战与日俱增。考虑到不同利益相关者的需求和要求,决策变得更加复杂。可用的地理、森林和单棵树木数据的数量和质量不断提高,这些数据的组合以及森林生长模拟器的使用使得在决策过程中为森林管理者提供支持成为可能。我们的目标是开发一种强大的可视化工具,可用于森林规划和利益相关者沟通。我们提出了一个基于游戏引擎的解决方案,将多种来源的数据(地形数据、卫星图像、树木数据)整合到一个虚拟环境中。用户可以在虚拟森林中自由移动,从任意角度观察森林,并观察森林在不同管理方案下的发展变化。我们以瑞士的一个研究区域为例,展示了这种方法的实用性。
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Virtual forests for decision support and stakeholder communication

Challenges in forest management are increasing due to climate change and its associated risks. Considering the needs and demands of various stakeholders leads to more complex decision-making. The increasing amount and quality of available geographic, forest and individual tree data, the combination of this data, and the use of forest growth simulators make it possible to support forest managers in this decision-making process. Our aim was to develop a strong visualization instrument that can be used in both forest planning and stakeholder communication. We present a solution based on a game engine, where data from multiple sources (terrain data, satellite imagery, tree data) is combined into a virtual environment. The user can move freely inside this virtual forest, look at the forest from arbitrary perspectives, and observe its development over the years under different management scenarios. We demonstrate the usefulness of this approach with a study region in Switzerland.

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来源期刊
Environmental Modelling & Software
Environmental Modelling & Software 工程技术-工程:环境
CiteScore
9.30
自引率
8.20%
发文量
241
审稿时长
60 days
期刊介绍: Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.
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