Sensitivity Analysis of a Hyperspectral Inversion Model for Remote Sensing of Shallow Coastal Ecosystems

This paper presents a sensitivity analysis of a semi-analytical inversion model for hyperspectral remote sensing of shallow coral ecosystems. Results consistently demonstrated that the estimates of water optical parameters, bottom albedo and bathymetry are most sensitive to values assigned for two of the fixed parameters: the spectral slope of the absorption coefficient for gelbstoff; and the spectral power coefficient for calculating the backscattering coefficient. This suggests that inversion model performance can be enhanced by incorporating improved estimates for these two fixed parameters, either through more explicit physical equations or through location-specific empirical relationships.