期刊
ACTA OCEANOLOGICA SINICA
卷 29, 期 2, 页码 14-32出版社
SPRINGER
DOI: 10.1007/s13131-010-0018-y
关键词
phytoplankton size; remote sensing; absorption; ocean colour; SeaWiFS
类别
资金
- National Environmental Research Council, UK
- National Centre for Earth Observation
- Natural Environment Research Council [pml010007, earth010003] Funding Source: researchfish
- NERC [pml010007, earth010003] Funding Source: UKRI
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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