  Given multiple images that describe chaotic reaction-diffusion dynamics,
parameters of a PDE model are estimated using autosynchronization, where
parameters are controlled by synchronization of the model to the observed data.
A two-component system of predator-prey reaction-diffusion PDEs is used with
spatially dependent parameters to benchmark the methods described. Applications
to modelling the ecological habitat of marine plankton blooms by nonlinear data
assimilation through remote sensing is discussed.
