Comparing a hyperspectral Monte-Carlo approach for simulating water surface reflectance signatures based upon radiative transfer theory: simulating clear water and Caribbean Sea bottom types

Charles R. Bostater Jr.; Manuel Gimond; Matthew Campbell

doi:10.1117/12.411704

22 December 2000 Comparing a hyperspectral Monte-Carlo approach for simulating water surface reflectance signatures based upon radiative transfer theory: simulating clear water and Caribbean Sea bottom types

Charles R. Bostater Jr., Manuel Gimond, Matthew Campbell

Author Affiliations +

Proceedings Volume 4172, Remote Sensing of the Ocean and Sea Ice 2000; (2000) https://doi.org/10.1117/12.411704
Event: Europto Remote Sensing, 2000, Barcelona, Spain

Abstract

A homogeneous water column hyperspectral Monte Carlo modeling approach is compared to an analytical solution to a radiative transfer model system for irradiance. Both mathematical models and the solution approaches describe the transfer of irradiant light in a homogeneous medium. The analytical model has been previously used to describe the transfer of irradiant energy in a homogeneous water column, with and without fluorescence source terms as well as a direct specular or a collimated irradiance source term. The response of the water surface reflectance under solar irradiance or an artificial collimated light source is thus modeled. Synthetic reflectance signatures generated from the 2 mathematical models described the interaction of irradiant photon flux in terms of the 2 flow irradiance equations. The Monte Carlo model is used for creating synthetic coastal water color or reflectance signatures for clear waters with different bottom reflectance signatures using dat collected in the Caribbean Sea region. The analytical mode has suggested proportionality between the absorption and backscatter coefficients around 0.29. In this paper the proportionality factor for clear water using the Monte Carlo model or irradiance was found to vary, but averaged around 0.26. This compares to 0.33 form other published values used in simple remote sensing algorithms. Results suggest that the optical pathlength will be a dominant factor influencing the ability of the Monte Carlo model to accurately represent measured or known reflectance signatures. The hyperspectral Monte Carlo mathematical modeling results also suggest the value of the technique for calculating the backscattering coefficient in waters with varying suspended matter, dissolved organic matter and phytoplankton pigments.

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Charles R. Bostater Jr., Manuel Gimond, and Matthew Campbell "Comparing a hyperspectral Monte-Carlo approach for simulating water surface reflectance signatures based upon radiative transfer theory: simulating clear water and Caribbean Sea bottom types", Proc. SPIE 4172, Remote Sensing of the Ocean and Sea Ice 2000, (22 December 2000); https://doi.org/10.1117/12.411704

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