| Project/Area Number |
10450158
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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 |
Measurement engineering
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| Research Institution | Kanazawa University |
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Principal Investigator |
MURAMOTO Ken-ichiro Faculty of Engineering, Kanazawa University, Professor, 工学部, 教授 (70042835)
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| Co-Investigator(Kenkyū-buntansha) |
NAKAMURA Koji Faculty of Science Kanazawa University, Professor, 理学部, 教授 (70111755)
KUBO Mamoru Faculty of Engineering Kanazawa University, Assistant, 工学部, 助手 (90249772)
NAGANO Isamu Faculty of Engineering, Kanazawa University, Professor, 工学部, 教授 (50019775)
TAKAHASHI Norio Faculty of Agriculture Yamagata University, Professor, 農学部, 教授 (70179505)
KAWAHIRA Koji Faculty of Biotechnology Fukui Prefectural University, Professor, 生物資源学部, 教授 (30025457)
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| Project Period (FY) |
1998 – 2000
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| Project Status |
Completed (Fiscal Year 2000)
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| Budget Amount *help |
¥4,800,000 (Direct Cost: ¥4,800,000)
Fiscal Year 2000: ¥2,700,000 (Direct Cost: ¥2,700,000)
Fiscal Year 1999: ¥2,100,000 (Direct Cost: ¥2,100,000)
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| Keywords | remote sensing / ground truth / vegetation / spectra of trees / effect of distance / 樹木波長反射特性 / 雲被覆率 / 樹木分光特性 / 植生指数 |
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| Research Abstract |
Forest monitoring is important to assess global environmental changes, and remote sensing is a powerful tool for observing the forest environment. Usually the traditional way of monitoring the conditions of forests provides more accurate and precise results. An obvious disadvantage of this method is that because of the vast nature of forests, data over large areas is difficult to obtain. Satellite remote sensing can be applied most effectively in monitoring such large forested areas. However, there are problems in methodology and accuracy to overcome for the technique to be utilized successfully. Therefore, it is emphasized that field work remains essential when applying remote sensing techniques.
To achieve the project goal, the experiment was designed to determine the relationship between ground data and the estimate from satellite data. Test site for remote sensing of trees was located around a parking lot at Knazawa University, Kakuma Campus. Data from Landsat and a portable spectrometer was used. We measured the spectra of trees at three different distances and scales using a portable spectrometer : 1) individual leaves, 2) part of a tree seen from a distance of 40 m, 3) mixture of several different trees seen from a helicopter, and investigated how the data changes during the scaling up of the measurement.
A model will be constructed to estimate vegetation coverage from satellite data. After determination of the relationship between ground data and the estimates, this model will be applied to wide areas of Japan.
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