A machine learning approach to produce a continuous solar-induced chlorophyll fluorescence dataset for understanding Ocean productivity


Journal article


Nima Madani, Nicholas C Parazoo, Manfredi Manizza, Abhishek Chatterjee, Dustin Carroll, Dimitris Menemenlis, Vincent le Fouest, Atsushi Matsuoka, Kelly Luis, Camila Serra-Pompei, Charles E. Miller, (Submitted)

Cite

Cite

APA   Click to copy
Madani, N., Parazoo, N. C., Manizza, M., Chatterjee, A., Carroll, D., Menemenlis, D., … (Submitted). A machine learning approach to produce a continuous solar-induced chlorophyll fluorescence dataset for understanding Ocean productivity.


Chicago/Turabian   Click to copy
Madani, Nima, Nicholas C Parazoo, Manfredi Manizza, Abhishek Chatterjee, Dustin Carroll, Dimitris Menemenlis, Vincent le Fouest, et al. “A Machine Learning Approach to Produce a Continuous Solar-Induced Chlorophyll Fluorescence Dataset for Understanding Ocean Productivity” (n.d.).


MLA   Click to copy
Madani, Nima, et al. A Machine Learning Approach to Produce a Continuous Solar-Induced Chlorophyll Fluorescence Dataset for Understanding Ocean Productivity.


BibTeX   Click to copy

@article{madani-a,
  title = {A machine learning approach to produce a continuous solar-induced chlorophyll fluorescence dataset for understanding Ocean productivity},
  author = {Madani, Nima and Parazoo, Nicholas C and Manizza, Manfredi and Chatterjee, Abhishek and Carroll, Dustin and Menemenlis, Dimitris and Fouest, Vincent le and Matsuoka, Atsushi and Luis, Kelly and Serra-Pompei, Camila and Miller, Charles E. and (Submitted)},
  howpublished = {}
}





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