Satellite remote sensing of chlorophyll-a concentration (chla) in oligotrophic and mesotrophic lakes faces uncertainties from sources such as atmospheric correction, complex inherent optical property compositions, imperfect algorithmic retrieval. To improve chla estimation oligo- lakes, we developed Bayesian probabilistic neural networks (BNNs) for the Sentinel-3 Ocean Land Cover Instrument (OL...
