System and method for extracting optical properties from environmental parameters in water
AssigneeThe United States of America as represented by the Secretary of the Navy
InventorsSonia Gallegos, Juanita Sandidge, Xiaogang Chen, Cynthia Daniels, Chiu-Fu Cheng
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Abstract
A method for predicting water clarity at a plurality of water depths for a location including providing training data to a neural network, the training data representative of water measurements at the location, thereafter receiving inputs including temperature, salinity, tidal information, water depth, and sediment data, and generating values for optical attenuation at a wavelength at a plurality of depths. In one embodiment, a default cloudy day algorithm operates at all times and a clear sky algorithm operates only when clear satellite images are available.
Claims20
A method for predicting water clarity at a plurality of water depths for a location, comprising:
- providing training data to a neural network, the training data representative of water measurements at the location;
- thereafter receiving inputs including data representative of density, tidal information, water depth, and sediment data;
- and
- generating values for optical attenuation at a wavelength at a plurality of depths.
Dependencies are inferred from the claim text.