|
The purpose of this paper is to present simulation in order to compare a Hyperspectral Monte Carlo Model
(MC) which generates synthetic images with realistic water wave surface to an iterative layered radiative
transfer model used to generate hyperspectral synthetic images with realistic water wave surfaces. The MC
model developed by Bostater and Gimond (2002) and Bostater and Chiang (2002) is divided into 5 steps: (1)
Generation of the photons, (2) tracking of the photon optical path and simultaneously (3) recording of the
photon's location within the water column, (4) then a tabulation of the sampling and its conversion to
meaningful radiometric quantities and finally (5) a calculation and processing of the event probabilities
between successive photons. This model will then be compared to the ILRT which is analytical and uses an
iterative method to converge on the solution to a layered, iterative two flow radiative transfer model
developed by (Bostater et al., 2002). The purpose of this research and the
presentation will be to describe the effects of spectrally derived wave facets and the foam estimation coverage
in order to assess the differences between the above modeling approaches, and to develop a better scientific
understanding of the influence of water waves on the remote sensing signal from 400 to 750 nm, as well as
the coupled influence of water waves and shallow bottom reflectance effects due to benthic aquatic habitat
features such as submerged vegetation, corals, and other objects submerged within the water column as well
as effects due to waves at the air-sea interface. The spectral wave models used include the wave (Phillips,
Jonswap, Pierson-Moskowitz and TMA) that
will help to simulate what a sensor sees from a low flying aircraft. In order to evaluate the wave models the
Inverse Fast Fourier Transform (IFFT) is applied and results described.
|
