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, no. 16, Aug. 2021, p. 3071. EBSCOhost, https://doi.org/10.3390/rs13163071.

APA

Vittorio E. Brando, Michela Sammartino, Simone Colella, Marco Bracaglia, Annalisa Di Cicco, Davide D’Alimonte, Tamito Kajiyama, Seppo Kaitala, & Jenni Attila. (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(16), 3071. https://doi.org/10.3390/rs13163071

Chicago

Vittorio E. Brando, Michela Sammartino, Simone Colella, Marco Bracaglia, Annalisa Di Cicco, Davide D’Alimonte, Tamito Kajiyama, Seppo Kaitala, and Jenni Attila. 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 (16): 3071. doi:10.3390/rs13163071.