| 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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| 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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