2022 Fiscal Year Final Research Report
Development of a Low-Cost Method for Updating Precise Forest Information Using Fixed-Wing UAV
| Project/Area Number |
19K06125
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 40010:Forest science-related
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| Research Institution | Kyoto University |
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Principal Investigator |
Hasegawa Hisashi 京都大学, フィールド科学教育研究センター, 准教授 (70263134)
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| Co-Investigator(Kenkyū-buntansha) |
白澤 紘明 国立研究開発法人森林研究・整備機構, 森林総合研究所, 主任研究員 等 (50629186)
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| Project Period (FY) |
2019-04-01 – 2023-03-31
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| Keywords | 精密森林情報 / 精密林業 / Unmanned Aerial Vehicle / Structure from Motion / 林内飛行 / データ更新 |
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| Outline of Final Research Achievements |
Data updating of precision forest information is fraught with practical problems such as cost and labor. The objective of this study was to develop a low-cost and efficient method for collecting and updating high-precision forest information by integrating GNSS technology, SfM technology using UAVs, and LiDAR technology.
Although fixed-wing UAVs could not perform sufficient analysis due to the COVID-19, we found that SfM analysis using a 360-degree camera on the ground and a rotary-wing UAV flying under tree canopies can acquire and update standing tree data at low cost and with practical accuracy. We also established a new method for precise earth volume estimation at a work road repair site. In the future, these results will be reapplied to fixed-wing UAVs and integrated with LiDAR SLAM technology.
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| Free Research Field |
森林利用学
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| Academic Significance and Societal Importance of the Research Achievements |
SfMやSLAM，LiDAR等の技術進展は極めて早く，近年では森林においてもデジタルツインをベースにした持続的資源利用に関する概念が広がりつつある。木材資源の持続的利用に関する社会の期待は極めて高いが，森林は構造が複雑で成長や災害等で刻一刻と変化するため，正確なデジタルツインの作成技術の確立は容易ではなく，他分野に比べてCPSに関する具体的手法の検討も遅れている。本研究は主に森林でのSfMを実用可能なレベルに高めた面で大きな意義があった。一方でより高効率に活用しうる固定翼UAVでは十分な解析ができなかった。今後，本成果を固定翼UAVに再適用し，LiDAR SLAMなど新たな技術との統合を図る。
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