System and method for extracting optical properties from environmental parameters in water
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.
Inventors:
Juanita C Sandidge
Sonia C. Gallegos
Xiaogang Chen
Cynthia D Daniels
Chiu-Fu Cheng
Patent Number:
US2006235616Patent Issue Date:
November 19, 2006Lab Representatives