Satellite observations

Sammartino, M., Marullo, S., Santoleri, R., & Scardi, M. (2018). Modelling the vertical distribution of phytoplankton biomass in the mediterranean sea from satellite data: A neural network approach. Remote Sensing. http://doi.org/10.3390/rs10101666

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Larroza, E. G., Keckhut, P., Baray, J. -L., Nakaema, W. M., Vérèmes, H., Landulfo, E., et al. (2018). Long-range transport of water channelized through the Southern Subtropical Jet. Atmosphere. http://doi.org/10.3390/atmos9100374

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Giardino, C., Brando, V. E., Gege, P., Pinnel, N., Hochberg, E., Knaeps, E., et al. (2019). Imaging Spectrometry of Inland and Coastal Waters: State of the Art, Achievements and Perspectives. Surveys In Geophysics. http://doi.org/10.1007/s10712-018-9476-0

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Brando, V. E., Lovell, J. L., King, E. A., Boadle, D., Scott, R., & Schroeder, T. (2016). The potential of autonomous ship-borne hyperspectral radiometers for the validation of ocean color radiometry data. Remote Sensing. http://doi.org/10.3390/rs8020150

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Brando, V. E., Lovell, J. L., King, E. A., Boadle, D., Scott, R., & Schroeder, T. (2016). The potential of autonomous ship-borne hyperspectral radiometers for the validation of ocean color radiometry data. Remote Sensing. http://doi.org/10.3390/rs8020150

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