Grid Computing for Multi-Spectral Tomographic Reconstruction of Chlorophyll Concentration in Ocean Water

In the last decades, the development of inversion methodologies for radiative transfer problems has been an important research topic in many branches of science and engineering [Go02, Mc92]. The direct or forward radiative transfer problem in hydrologic optics, in the steady state, involves the determination of the radiance distribution in a body of water, given the boundary conditions, source term, inherent optical properties (IOPs), such as the absorption and scattering coefficients, and the phase function. The inverse radiative transfer problem arises when physical properties, internal light sources, and/or boundary conditions must be estimated from radiometric measurements of the underwater light field. A challenge in the inverse hydrological optics problem is to determine the IOPs, considering only the water-leaving radiance.