Testing Forestry Digital Twinning Workflow Based on Mobile LiDAR Scanner and AI Platform

编号 030034803

推送时间 20220620

研究领域 森林经理 

年份 2022 

类型 会议 

语种 英语

标题 Testing Forestry Digital Twinning Workflow Based on Mobile LiDAR Scanner and AI Platform

来源期刊 Forests

期 第348期

发表时间 20211116

关键词 digital twinning;  climate smart;  LiDAR;  artificial intelligence;  digitalization; 

摘要 Climate-smart forestry is a sustainable forest management approach for increasing positive climate impacts on society. As climate-smart forestry is focusing on more sustainable solutions that are resource-efficient and circular, digitalization plays an important role in its implementation. The article aimed to validate an automatic workflow of processing 3D pointclouds to produce digital twins for every tree on large 1-ha sample plots using a GeoSLAM mobile LiDAR scanner and VirtSilv AI platform. Specific objectives were to test the efficiency of segmentation technique developed in the platform for individual trees from an initial cloud of 3D points observed in the field and to quantify the efficiency of digital twinning by comparing the automatically generated results of (DBH, H, and Volume) with traditional measurements. A number of 1399 trees were scanned with LiDAR to create digital twins and, for validation, were measured with traditional tools such as forest tape and vertex. The segmentation algorithm developed in the platform to extract individual 3D trees recorded an accuracy varying between 95 and 98%. This result was higher in accuracy than reported by other solutions. When compared to traditional measurements the bias for diameter at breast height (DBH) and height was not significant. Digital twinning offers a blockchain solution for digitalization, and AI platforms are able to provide technological advantage in preserving and restoring biodiversity with sustainable forest management.?

服务人员 付贺龙

服务院士 唐守正

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