Application of clustering techniques to multispectral optical data over the ocean

Joseph, Margaret; Quartly, Graham D.; Robertson, Colette; Byfield, Valborg; Harris, Ray. 2005 Application of clustering techniques to multispectral optical data over the ocean. In: MERIS (A)ATSR Workshop 2005, Frascati, Italy, 26-30 Sep 2005. Noordwijk, The Netherlands, ESA.

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Abstract/Summary

MERIS, on Envisat, provides high-resolution radiometric data at nine discrete channels in the visible band. This paper looks at the potential of an unsupervised classification technique for utilizing these multi-spectral data to provide better discrimination between water masses according to their optical properties, and in particular whether phytoplankton groups can be distinguished. Although the majority of data do show a spectral peak associated with chlorophyll's red fluorescence line, clustering using only the red bands was found to separate out coastal waters according to their sediment content. Red-end classification also appeared to identify sub-pixel cloud, and demonstrate that the smile correction had not removed all the striping from the data. Classification using bands from the blue-green end showed a response to changes in chlorophyll concentration, but also indicated other variations. However, without in situ data no firm conclusions can be drawn on which phytoplankton groupings are present.

Item Type:	Publication - Conference Item (Paper)
Additional Information. Not used in RCUK Gateway to Research.:	CDROM of Proceedings: ESA SP-597
Additional Keywords:	Envisat, MERIS phytoplankton, clustering, ocean colour
Date made live:	07 Sep 2006 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/141438

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