Discrimination of diatoms from other phytoplankton using ocean-colour data

By S. Sathyendranath, L. Watts, E. Devred, T. Platt, C. Caverhill, H. Maass. 2004

269 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Plankton functional type modelling : running before we can walk? (2005, methodology): “…approach in this respect is the development of biooptical methods, various algorithms having been developed for mapping the distributions of coccolithophore blooms (Brown and Yoder, 1994; Brown and Podestá, 1997), Trichodesmium (Subramaniam et al., 2002) and diatoms (Sathyendranath et al., 2004).”
A global diatom database – abundance, biovolume and biomass in the world ocean (2012, unknown): “…groups from space (Alvain et al., 2005; Uitz et al., 2006), and this effort has been most fruitful on coccolithophores (Yoder and Brown, 1994; Iglesias-Rodriguez et al. 2002) but has also been recently attempted on Trichodesmium (Dupouy et al., 2008) and diatoms (Sathyendranath et al., 2004).”
Synoptic relationships between surface Chlorophyll- a and diagnostic pigments specific to phytoplankton functional types (2011, methodology): “5e), explaining 31.7% 34 It is important to note that uncertainty of Chl-a , which is an input to the present estimation of PSCs/PFTs, should be added to obtain an overall uncertainty Green algae, i) Dinoflagellates, j) Prochlorococcus sp . show a e 6 Chl-a and 70% of the nanoplank-ton % Chl-a .”