| A spectral response approach for detecting dominant phytoplankton size class from satellite remote sensing |
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| 作者姓名： | Robert J W Brewin Samantha J Lavender Nick J Hardman-Mountfor Takafumi Hirata |
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| 作者单位： | [1]School of Marine Science and Engineering, University of Plymouth, UK [2]ARGANS Ltd, Plymouth, UK [3]Plymouth Marine Laboratory （PML）, Plymouth, UK [4]National Centre for Earth Observation, PML, Plymouth, UK |
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| 基金项目： | This work is funded by the National Environmental Research Council, UK, through a PhD studentship at the
Centre for observation of Air-Sea Interactions & fluXes (CASIX), the National Centre for Earth Observation and NERC Oceans
2025 programme (Themes 6 an |
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| 摘 要： | An important goal in ocean colour remote sensing is to accurately detect different phytoplank- ton groups with the potential uses including the validation of multi-phytoplankton carbon cycle models; synoptically monitoring the health of our oceans, and improving our understanding of the bio-geochemical interactions between phytoplankton and their environment. In this paper a new algorithm is developed for detecting three dominant phytoplankton size classes based on distinct differences in their optical signatures. The technique is validated against an independent cou- pled satellite reflectance and in situ pigment dataset and run on the 10-year NASA Sea viewing Wide Field of view Sensor (SeaWiFS) data series. Results indicate that on average 3.6% of the global oceanic surface layer is dominated by microplankton, 18.0% by nanoplankton and 78.4% by picoplankton. Results, however, are seen to vary depending on season and ocean basin.
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| 关 键 词： | 卫星遥感探测 浮游植物 光谱响应 海洋水色遥感 SeaWiFS 美国航空航天局 优势 化学相互作用 |
| 收稿时间： | 2008/12/11 0:00:00 |
| 修稿时间： | 4/7/2009 12:00:00 AM |
A spectral response approach for detecting dominant phytoplankton size class from satellite remote sensing |
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| Robert J W Brewin,Samantha J Lavender,Nick J Hardman-Mountfor,Takafumi Hirata.A spectral response approach for detecting dominant phytoplankton size class from satellite remote sensing[J].Acta Oceanologica Sinica,2010,29(2):14-32. |
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| Authors: | Robert J W Brewin Samantha J Lavender Nick J Hardman-Mountford and Takafumi Hirata |
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| Institution: | 1.School of Marine Science and Engineering, University of Plymouth, UK2.School of Marine Science and Engineering, University of Plymouth, UK;ARGANS Ltd, Plymouth, UK3.Plymouth Marine Laboratory(PML), Plymouth, UK;National Centre for Earth Observation, PML, Plymouth, UK |
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| Abstract: | An important goal in ocean colour remote sensing is to accurately detect different phytoplankton groups with the potential uses including the validation of multi-phytoplankton carbon cycle models; synoptically monitoring the health of our oceans,and improving our understanding of the bio-geochemical interactions between phytoplankton and their environment.In this paper a new algorithm is developed for detecting three dominant phytoplankton size classes based on distinct differences in their optical signatures.The technique is validated against an independent coupled satellite reflectance and in situ pigment dataset and run on the 10-year NASA Sea viewing Wide Field of view Sensor(SeaWiFS)data series.Results indicate that on average 3.6% of the global oceanic surface layer is dominated by microplankton,18.0% by nanoplankton and 78.4% by picoplankton.Results,however,are seen to vary depending on season and ocean basin. |
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| Keywords: | phytoplankton size remote sensing absorption ocean colour SeaWiFS |
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