Shallow Ocean Bottom BRDF Prediction, Modeling, and Inversion via Simulation With Surface/Volume Data Derived from X-ray Tomography

摘要

We are investigating the measurable features in the BRDF (Bi- directional Reflectance Distribution Function) of benthic surfaces made of natural sediments and how that is influenced by the morphology of the sediment grain composition. If the measured BRDF shows features which can be numerically derived from the physical properties such as size and shape of the sediment material, then we should be able to invert BRDF data to obtain significant characterizations of the natural sediment properties. Extend current numerical BRDF ray tracing techniques to deal with natural sediments via input of sediment grain data from x-ray CT measurements. Discover if the BRDF data can be inverted to give information about grain size, morphology and interstitial spacing.