Development of high precision estimation method for tree species resource of natural broadleaved trees using next generation laser sensing
| Project/Area Number |
17H03827
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Forest science
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| Research Institution | Shinshu University |
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Principal Investigator |
katoh nasato 信州大学, 学術研究院農学系, 教授 (40345757)
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| Project Period (FY) |
2017-04-01 – 2020-03-31
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| Project Status |
Completed (Fiscal Year 2019)
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| Budget Amount *help |
¥13,390,000 (Direct Cost: ¥10,300,000、Indirect Cost: ¥3,090,000)
Fiscal Year 2019: ¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2018: ¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2017: ¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
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| Keywords | リモートセンシング / レーザセンシング / ドローン / スマート林業 / レーザ計測 / 森林科学 / 計画・管理 / 森林資源 / 精密林業 |
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| Outline of Final Research Achievements |
If we can accurately understand the number of trees by species and the contents of forest resources in a wide area forest without conducting a forest survey, not only will forest management be much more efficient, but it will be extremely effective for timber production and resource utilization of renewable energy. The purpose of this study is to develop a technique for calculating the resource amount of tree species in high-precision broad-leaved natural forest, which is the ultimate purpose, as an application of remote sensing technology including laser scanning to the forestry field. We aimed to contribute to effective use. In Nagano Prefecture, which is a research field, we have developed a technology for providing precise broad-leaved resource information in units of single tree level, measured using a drone laser scanning. This method can be used for point cloud data for laser scanning approach of airborne that has a wide range of applications.
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| Academic Significance and Societal Importance of the Research Achievements |
1）上空からのレーザ計測のみで、多大な労力と費用を要している森林調査と資源管理が効率的になり，経費の削減効果が大きい。未利用資源として扱われている広葉樹林の価値の見直し、林産業、バイオマス資源として有効利用できることから、学術的かつ産業的な貢献もでき、大きなインパクトを与えることができる。
2）本研究の森林調査をせずに森林資源情報を把握する方法は、国内では広大な北海道の針広天然林、海外では広葉樹林の多い東南アジア，南アメリカ、アフリカなどの諸外国の森林にも応用可能なことから，日本が先導する国際共同研究に貢献できる。
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Report
(4 results)
Research Products
(30 results)
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[Journal Article] Forest in situ observations using unmanned aerial vehicle as an alternative of terrestrial measurements2019
Author(s)
Xinlian Liang, Yunsheng Wang, Jiri Pyorala, Matti Lehtomaki, Xiaowei Yu, Harri Kaartinen, Antero Kukko, Eija Honkavaara, Aimad E. I. Issaoui, Olli Nevalainen, Matti Vaaja, Juho-Pekka Virtanen, Masato Katoh, Songqiu Deng
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Journal Title
Forest Ecosystems
Volume: 6
Issue: 1
Pages: 1-16
DOI
NAID
Related Report
Peer Reviewed / Open Access / Int'l Joint Research
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