Methods, systems, and apparatus, including computer programs encoded on computer storage media, for predicting features of an aquatic ecosystem. One of the methods includes generating, using ground truth data, first training input, wherein the first training input includes training labels; generating an augmented dataset from multiple data sources as second training input, wherein the augmented dataset is generated using (i) bathymetric data and (ii) simulated data based on satellite data indicating one or more coastal ecosystems; and training the machine learning model using (i) the first training input and (ii) second training input, such that the machine learning model is trained to predict biomass growth.
MAPPING COASTAL ECOSYSTEMS
2024-02-22
Patent
Electronic Resource
English
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