Bibliographies

Schollaert Uz, S., A.J. Busalacchi, T.M. Smith, M.N. Evans, C.W. Brown and E.C. Hackert (2017) Interannual and decadal variability in tropical Pacific chlorophyll from a statistical [...]

Schollaert Uz, S. (2016). Building intuition for in-water optics and ocean color remote sensing: Spectrophotometer activity with littleBits™. Oceanography 29(1):98–103, [...]

Schofield, O., Prézelin, B.B., Smith, R.C., Stegmann, P.M., Nelson, N.B., Lewis, M.R. and Baker, K.S. (1991). Variability in spectral and nonspectral measurements of photosynthetic light [...]

Schofield, O., Bidigare, R.R. and Prézelin, B.B. (1990). Spectral photosynthesis, quantum yield and blue-green light enhancement of productivity rates in the diatom Chaetoceros gracile and the [...]

Schiller, H. and Doerffer, R. (1999). Neural network for emulation of an inverse model operational derivation of Case II water properties from MERIS data. Intl. J. Rem. Sens., 20(9): 1735-1746.

Scardi, M., and Harding, L.W.J. (1999). Developing an empirical model of phytoplankton primary production: a neural network case study.  Ecol. Model, 120: 213-223.

Savidge, G. and Gilpin, L. (1999). Seasonal influences on size-fractionated chlorophyll a concentrations and primary production in the north-west Indian Ocean. Deep-Sea Res., 46: 701-724.

Sauzède, R., H. Claustre, J. Uitz, C. Jamet, G. Dall’Olmo, F. D’Ortenzio, B. Gentili, A. Poteau, and C. Schmechtig (2016), A neural network-based method for merging ocean color and Argo data to [...]

Sathyendranath, S., Watts, L., Devred, E., Platt, T., Caverhill, C., and Maass, H. (2004). Discrimination of diatoms from other phytoplankton using ocean-colour data.  Mar. Ecol. Prog. Ser. 272: [...]

Sathyendranath, S., Subba Rao, D.V., Chen, Z., Stuart, V., Platt, T., Bugden, G. L., Jones, W. and Vass, P. (1997). Aircraft remote sensing of toxic phytoplankton blooms: a case study from [...]