Phytoplankton Bloom Dynamics in the Baltic Sea Using a Consistently Reprocessed Time Series of Multi-Sensor Reflectance and Novel Chlorophyll-a Retrievals

MLA

Vittorio E. Brando, et al. “Phytoplankton Bloom Dynamics in the Baltic Sea Using a Consistently Reprocessed Time Series of Multi-Sensor Reflectance and Novel Chlorophyll-a Retrievals.” Remote Sensing, vol. 13, Aug. 2021, p. 3071. EBSCOhost, https://doi.org/10.3390/rs13163071.

APA

Vittorio E. Brando, Simone Colella, Tamito Kajiyama, Seppo Kaitala, Annalisa Di Cicco, Michela Sammartino, Davide D’Alimonte, Jenni Attila, & Marco Bracaglia. (2021). Phytoplankton Bloom Dynamics in the Baltic Sea Using a Consistently Reprocessed Time Series of Multi-Sensor Reflectance and Novel Chlorophyll-a Retrievals. Remote Sensing, 13, 3071. https://doi.org/10.3390/rs13163071

Chicago

Vittorio E. Brando, Simone Colella, Tamito Kajiyama, Seppo Kaitala, Annalisa Di Cicco, Michela Sammartino, Davide D’Alimonte, Jenni Attila, and Marco Bracaglia. 2021. “Phytoplankton Bloom Dynamics in the Baltic Sea Using a Consistently Reprocessed Time Series of Multi-Sensor Reflectance and Novel Chlorophyll-a Retrievals.” Remote Sensing 13 (August): 3071. doi:10.3390/rs13163071.