Brando, V.E.; Sammartino, M.; Colella, S.; Bracaglia, M.; Di Cicco, A.; D’Alimonte, D.; Kajiyama, T.; Kaitala, S.; Attila, J.
Phytoplankton Bloom Dynamics in the Baltic Sea Using a Consistently Reprocessed Time Series of Multi-Sensor Reflectance and Novel Chlorophyll-a Retrievals. Remote Sens. 2021, 13, 3071.
https://doi.org/10.3390/rs13163071
AMA Style
Brando VE, Sammartino M, Colella S, Bracaglia M, Di Cicco A, D’Alimonte D, Kajiyama T, Kaitala S, Attila J.
Phytoplankton Bloom Dynamics in the Baltic Sea Using a Consistently Reprocessed Time Series of Multi-Sensor Reflectance and Novel Chlorophyll-a Retrievals. Remote Sensing. 2021; 13(16):3071.
https://doi.org/10.3390/rs13163071
Chicago/Turabian Style
Brando, Vittorio E., 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, no. 16: 3071.
https://doi.org/10.3390/rs13163071
APA Style
Brando, V. E., Sammartino, M., Colella, S., Bracaglia, M., Di Cicco, A., D’Alimonte, D., Kajiyama, T., Kaitala, S., & Attila, J.
(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