Advancements to Monte-Carlo modeling of the underwater light field using synthetic water surface slopes and synthetic bottom reflectance signatures

Tyler A. Rotkiske; Charles R. Bostater

doi:10.1117/12.2601703

12 September 2021 Advancements to Monte-Carlo modeling of the underwater light field using synthetic water surface slopes and synthetic bottom reflectance signatures

Tyler A. Rotkiske, Charles R. Bostater

Author Affiliations +

Proceedings Volume 11857, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2021; 1185708 (2021) https://doi.org/10.1117/12.2601703
Event: SPIE Remote Sensing, 2021, Online Only

Abstract

A non-homogeneous water column Monte Carlo model is utilized for predicting underwater light fields in shallow estuarine waters with suspended muds/flocs and a bottom lutocline boundary layer. This previously developed model creates synthetic water wave surfaces. Outputs are presented to demonstrate the response to water wave facet slopes at the surface and a lutocline bottom fluid mud boundary layer. Synthetic reflectance spectrums and radiometric quantities are modeled with different solar and sensor zenith and azimuth angles. Measurements in Space Coast Florida waters are used as model inputs. Averaged depth dependent concentration profiles for particulate matter suspended from the bottom fluid mud and lutocline layers are estimated from sondes. In this report vertical profiles of shape factors with various water surface slopes and fluid mud assumptions are shown. Model results suggests that suspended muds in the water column will have unique higher absorption influences upon the photosynthetically active light region of the underwater light field.

Citation Download Citation

Tyler A. Rotkiske and Charles R. Bostater "Advancements to Monte-Carlo modeling of the underwater light field using synthetic water surface slopes and synthetic bottom reflectance signatures", Proc. SPIE 11857, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2021, 1185708 (12 September 2021); https://doi.org/10.1117/12.2601703

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