Estimability Study of the Parameters of the Semi-Analytical Lee Model with Hyperspectral Data

Hyperspectral sensors provide informative data in many fields related to Earth observation. On the coastal zone, the inversion of radiative transfer models of the light has shown the ability to estimate parameters characterizing the water column. Particularly the water column depth, its concentration of non-algal particles, in phytoplankton, and the bottom reflectance can be retrieved. In this paper, the ability of hyper-spectral data to estimate the parameters of the coastal zone thanks to the semi-analytical Lee model is studied according to the way the measurement is made: number of bands, impact of spectral response at each band and without any additional concepts such as probabilistic concepts.