2013 Fiscal Year Final Research Report
Development of acoustic technique for biomass monitoring of seaweed bed, sea grass bed and kelp bed
| Project/Area Number |
23380108
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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 |
General fisheries
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| Research Institution | Hokkaido University |
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Principal Investigator |
MIYASHITA KAZUSHI 北海道大学, 北方生物圏フィールド科学センター, 教授 (70301877)
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| Co-Investigator(Kenkyū-buntansha) |
FUJIMORI Yasuzumi 北海道大学, 水産科学研究科(研究院), 教授 (40261341)
KIMURA Nobuo 北海道大学, 水産科学研究科(研究院), 教授 (50186326)
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| Project Period (FY) |
2011-04-01 – 2014-03-31
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| Keywords | 藻場 / 種類判別 / 音響学的手法 / 音響反射強度 / 離散ウェーブレット解析 |
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| Research Abstract |
In coastal area, Sargassum spp., Zostera spp. and Laminaria spp. forms dense vegetation community, which are called as seaweed bed, seagrass bed and kelp bed. In this study, we estimated the characteristics and the wave shapes of acoustic intensity of these beds, and then we developed the discriminate method of these beds by acoustic technique using the characteristics. In the result, it was suggested that the discrimination of the beds is possible using a two-stage approach. The first stage is the discrimination of the area backscattering (Seaweed bed; -33.3~-57.0 dB, Seagrass bed; -39.2~-66.1 dB, Kelp bed; -59.8~-74.3 dB). In the second stage is the discrimination of the wavelet coefficient of Lv. 4 (Seagrass bed; 12000-39000, Kelp bed; 3000-12000). This method may allow better biomass estimation of these beds by acoustic technique.
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