A novel technique to retrieve chlorophyll measurements from particulate beam-attenuation coefficients using deep learning has been published this week in Optics Express by scientists at Plymouth Marine Laboratory.

Further Information

Read the publication:
S. Graban, G. Dall’Olmo, S. Goult, and R. Sauzède (2020) ‘Accurate deep-learning estimation of chlorophyll-a concentration from the spectral particulate beam-attenuation coefficient‘ Optics Express, https://doi.org/10.1364/OE.397863

Chlorophyll dataset:
https://zenodo.org/record/3953725#.Xxbx3J5KiUk

GitHub with neural network weights and code to run them:
https://github.com/SebastianGraban/CMAP