This work presents the multispectral reconstruction of the vertical profile of Chlorophyll concentration (Chl-a) in Case 1
waters. In such ocean waters, optical properties are driven by the presence of phytoplankton, allowing the use of bio-optical
models, where the absorption and scattering coefficients are related with Chl-a. The vertical profile of Chl-a is
reconstructed from experimental measurements of water-leaving radiances (nLw) at 10 wavelengths. These radiances are
considered for a discrete number of upward polar directions. The inverse problem is formulated as an optimization
problem, and iteratively solved by the ACO using the radiative transfer equation as direct model. The objective function
is given by the square difference between computed and experimental radiances. For each iteration a population of
candidate solutions is generated, pre-selected and evaluated by means of the objective function. Each candidate solution
corresponds to a discrete Chl-a profile. The radiative transfer equation is solved for each candidate solution yielding the
radiances that are used in the objective function to evaluate it. Since this equation requires the absorption and scattering
coefficients, these are calculated using bio-optical models. The radiative transfer equation is solved using the Laplace
transform discrete ordinate LTSN method. A parallel implementation of the ACO is employed and executed in a
distributed memory machine. The multispectral approach allows estimating the vertical profile using only nLw, instead
of in situ measurements on several depths.
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