Low-cost computationally hyperspectral simulator for highly dynamic marine environments

Hyperspectral optical observations and the development of new processing strategies are key for a better understanding of complex marine ecosystems and space-time distribution of ecological parameters. In this paper, the methodologies to implement a simulator of hyperspectral-resolved optical data corresponding to highly dynamic marine environments are presented. The simulator is based on a coupled radiative transfer and Lagrangian hydrodynamic model, which is organized in four basic blocks: a hydrodynamic model, a particle tracking model, a transformation function and a radiative transfer model. The transformation function is needed to adapt the output of the tracking model (given in number of particles per unit volume) to mass concentration, suitable for the radiative transfer model. The transformation function has been derived considering an allometric relationship between both magnitudes, since it is found in nature. The simulator is finally tested by considering the Alfacs Bay (NW Mediterranean Sea), as a case study site.