Development of global applied Algorithm for Forest Canopy Density Estimation from Satellite RS Data
| Project/Area Number |
16560459
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
交通工学・国土計画
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| Research Institution | Nagaoka University of Technology |
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Principal Investigator |
RIKIMARU Atsushi Nagaoka University of Technology, Associate Professor, 工学部, 助教授 (70334688)
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| Co-Investigator(Kenkyū-buntansha) |
TAKAHASHI Kazuyoshi Nagaoka University of Technology, Assistant, 工学部, 助手 (00332651)
向井 幸男 長岡技術科学大学, 工学部, 教授 (40324008)
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| Project Period (FY) |
2004 – 2005
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| Project Status |
Completed (Fiscal Year 2005)
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| Budget Amount *help |
¥2,500,000 (Direct Cost: ¥2,500,000)
Fiscal Year 2005: ¥800,000 (Direct Cost: ¥800,000)
Fiscal Year 2004: ¥1,700,000 (Direct Cost: ¥1,700,000)
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| Keywords | Remote Sensing / Forest resources / global / MODIS / LANDSAT / Forest Canopy Density |
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| Research Abstract |
In global forest-resources observation, use of wide area high frequency orbiting satellites, such as NOAA, VEGETATION, and MODIS, is considered to be indispensable from observation specifications and economical efficiency. For the previous type of earth observation satellite data, such as LANDAST-TM, the model for estimation of forest canopy density is already developed by Rikimaru. Moreover, the land cover mapping of sub-pixel analysis for forest area are proposed by Susaki and Takeuch, using MODIS and NOAA data. However, ordinary presumption model of sub-pixel analysis estimate average density value of the forest area. For this reason, it is hard to attach distinction the case where a high-density forest is distributed sparsely, and in case a low density forest is distributed over the whole region. In this research, in order to re-examine the qualitative reliability of the covering information in sub-pixel of MODIS data, comparison examination of the analysis result of a LANDSAT satellite imagery and a MODIS satellite imagery was performed.
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Report
(3 results)
Research Products
(3 results)
