Fol Cyprien R, Zhao Jiayan, Späth Leonhard, Murtiyoso Arnadi, Remondino Fabio, Griess Verena C
Forest Resources Management Group, ETH Zurich, Zurich, 8092, Switzerland.
Laboratory of Geo-Information Science and Remote Sensing, Wageningen University & Research, Wageningen, 6708, Netherlands.
Sci Rep. 2025 May 7;15(1):15908. doi: 10.1038/s41598-025-00285-y.
Forest biodiversity is essential for ecosystem health and provides critical services to humanity. However, threats from pollution and climate change underscore the urgent need for more accurate assessment methods. Monitoring and inventorying biodiversity are vital for informed decision-making in forest management, and Mixed Reality (MR) technology offers a promising solution to enhance traditional visual assessment methods. By overlaying 3D virtual information, such as text and holograms, in forest environments, MR can improve the contextualisation of biodiversity data. Here, we developed HoloFlora, the first interactive MR application designed to visualise biodiversity indicators on digital tree stems. With a geometric accuracy of 1.4 cm, HoloFlora sets a benchmark for future methods, demonstrating MR's potential to deliver precise spatial information in complex forest settings. Expert evaluations validated the application's intuitive design and functionality, and further refinements were made based on their feedback. The strong acceptance of MR technology among experts highlights its transformative potential in forestry, suggesting it could facilitate integration into existing management practices. Our findings establish a foundation for using MR in forest environments to enhance biodiversity monitoring and raise public awareness about biodiversity loss.
森林生物多样性对于生态系统健康至关重要,并为人类提供关键服务。然而,污染和气候变化带来的威胁凸显了对更精确评估方法的迫切需求。监测和清查生物多样性对于森林管理中的明智决策至关重要,而混合现实(MR)技术为改进传统视觉评估方法提供了一个有前景的解决方案。通过在森林环境中叠加3D虚拟信息,如文本和全息图,MR可以改善生物多样性数据的情境化。在此,我们开发了HoloFlora,这是首个旨在在数字树干上可视化生物多样性指标的交互式MR应用程序。HoloFlora的几何精度为1.4厘米,为未来的方法设定了基准,展示了MR在复杂森林环境中提供精确空间信息的潜力。专家评估验证了该应用程序直观的设计和功能,并根据他们的反馈进行了进一步改进。专家们对MR技术的高度认可凸显了其在林业中的变革潜力,表明它可以促进融入现有管理实践。我们的研究结果为在森林环境中使用MR增强生物多样性监测并提高公众对生物多样性丧失的认识奠定了基础。