| Project/Area Number |
22656109
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Single-year Grants |
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| Research Field |
Hydraulic engineering
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| Research Institution | Hiroshima University |
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Principal Investigator |
SAKUNO Yuji 広島大学, 大学院・工学研究院, 助教 (20332801)
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| Co-Investigator(Kenkyū-buntansha) |
KOIBUCHI Yukio 東京大学, 大学院・新領域創成科学研究科, 准教授 (60349800)
KAWASAKI Koji 名古屋大学, 大学院・工学研究科, 准教授 (20304024)
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| Project Period (FY) |
2010 – 2011
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| Project Status |
Completed (Fiscal Year 2011)
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| Budget Amount *help |
¥3,650,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥450,000)
Fiscal Year 2011: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2010: ¥1,700,000 (Direct Cost: ¥1,700,000)
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| Keywords | リモートセンシング / 海岸工学 / 沿岸環境 / 赤潮 / 海洋工学 / 環境定量評価・予測 / 地球観測 / 環境質定量化・予測 / 大気現象 |
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| Research Abstract |
The objective of this research aimed at developing the red tide bloom early warning system in the Japanese coast using the domestic cloud and aerosol satellite sensor" GOSAT CAI" data launched on January, 2009. In research, the spectral reflectance/ chlorophyll a(An index of red tide) data sets of Tokyo Bay were collected for two years. And the Chl. a estimation method by CAI was examined.
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