The establishment of high-precision forest biomass estimation method by the next generation remote sensing data
| Project/Area Number |
24380077
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Partial Multi-year Fund |
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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 Masato 信州大学, 学術研究院農学系, 教授 (40345757)
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| Co-Investigator(Kenkyū-buntansha) |
OOCHI Jyunpei 山梨県森林総合研究所, 森林研究部, 研究員 (00536279)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥17,290,000 (Direct Cost: ¥13,300,000、Indirect Cost: ¥3,990,000)
Fiscal Year 2014: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2013: ¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
Fiscal Year 2012: ¥12,480,000 (Direct Cost: ¥9,600,000、Indirect Cost: ¥2,880,000)
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| Keywords | 森林資源 / リモートセンシング / 森林計測 / バイオマス / 自動区分 |
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| Outline of Final Research Achievements |
As a next-generation remote sensing technology, multi stage sensing data taken different altitude with high-resolution satellite, aircraft, and automatic Aerial UAV was used on same area.
Using image analysis algorithms Principal Investigator has been developed (Patent No. 4,900,356), to perform high-precision individual tree crowns extracted from each data, creating the trees positions and counting tree species. Field survey result of the comparison and verification also becomes the extraction accuracy of 85% or more of the images, and to ensure more than 80% of practical level. In addition, we carried out extension of our individual tree crown information and technologies in a wide area, it was forest biomass estimation in the stand unit. This technology achievement is published in international English journals (Journal of Remote Sensing), further oral presentation and lecture at the International conference and Society, was highly acclaimed.
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Report
(4 results)
Research Products
(38 results)
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[Book] Remote Sensing of Forests From Lidar and Radar2015
Author(s)
Juha Hyypp, Mika Karjalainen, Xinlian Liang, Anttoni Jaakkola, Xiaowei Yu, Mike Wulder, Markus Hollaus, Joanne C. White, Mikko Vastaranta, Kirsi Karila, Harri Kaartinen, Matti Vaaja, Ville Kankare, Antero Kukko, Markus Holopainen, Masato Katoh
Total Pages
600
Publisher
TAYLOR & FRANCIS
Related Report
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