2014 Fiscal Year Final Research Report
Development of early forest resource utilization diagnostic system
| Project/Area Number |
24580217
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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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| Research Field |
Forest science
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| Research Institution | Nagoya University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
YAMADA Yozo 名古屋大学, 生命農学研究科, 准教授 (00166745)
KONDO Minoru 名古屋大学, 生命農学研究科, 助教 (80153732)
INOUE Akio 熊本県立大学, 環境共生学部, 准教授 (80304202)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Keywords | 航空機LiDAR / レーザー透過率 / 植生分類 / システム収穫表 / 樹幹表面積 / シナリオ解析 / 広葉樹林化適地 / 人工林内広葉樹多様性 |
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| Outline of Final Research Achievements |
Aiming to develop early forest resource utilization diagnostic system, we firstly proposed a vegetation classification method using three LiDAR-derived indices and suggested its effectiveness. In addition, for detecting positions and crown areas of trees within a forest, we developed a new LiDAR data analysis system based on the canopy restoration analysis and suggested its effectiveness by comparing with existing system (LiDAS).
In addition, as a prototype system of the early forest resource utilization diagnostic system, we developed a scenario analysis system based on the system yield table DDPS. This system evaluate the forest management scenarios from on the forest resource information estimated from LiDAR data using the systems above mentioned and existing GIS data. We further investigated the various forest management scenarios required for plantations of Japan in future for scenario analysis system.
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| Free Research Field |
森林計測学
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