V.E. Brando

First name
V.E.
Last name
Brando
Volpe, G., Dionisi, D., Brando, V. E., Colella, S., Pitarch, J., Ciampichetti, S., et al. (2021). Single dual mode (continuous and cast) instrumentation package for inherent optical property measurements: Characterization of the bucket for backscattering observation. Limnology And Oceanography: Methods, 19(8), 510-522, . http://doi.org/10.1002/lom3.10441
Manzo, C., Braga, F., Zaggia, L., Brando, V. E., Giardino, C., Bresciani, M., & Bassani, C. (2018). Spatio-temporal analysis of prodelta dynamics by means of new satellite generation: the case of Po river by Landsat-8 data. International Journal Of Applied Earth Observation And Geoinformation. http://doi.org/10.1016/j.jag.2017.11.012
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
Braga, F., Zaggia, L., Bellafiore, D., Bresciani, M., Giardino, C., Lorenzetti, G., et al. (2017). Mapping turbidity patterns in the Po river prodelta using multi-temporal Landsat 8 imagery. Estuarine, Coastal And Shelf Science. http://doi.org/10.1016/j.ecss.2016.11.003
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
Braga, F., Zaggia, L., Bellafiore, D., Bresciani, M., Giardino, C., Lorenzetti, G., et al. (2017). Mapping turbidity patterns in the Po river prodelta using multi-temporal Landsat 8 imagery. Estuarine, Coastal And Shelf Science. http://doi.org/10.1016/j.ecss.2016.11.003
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