Deriving inherent optical properties and associated inversion-uncertainties in the Dutch Lakes

摘要

Remote sensing of water quality in inland waters requires reliable retrievalalgorithms, accurate atmospheric correction and consistent method foruncertainty estimation. In this paper, the GSM semi-analytical inversionmodel is modified for inland waters to derive inherent optical properties(IOPs) and their spectral dependencies from air and space borne data. Themodified model was validated using two data sets from the Veluwe and theVecht Dutch lakes. For the Veluwe lakes, the model was able to derive alinear relationship between measured concentrations and estimated IOPs withR2 values above 0.7 for chlorophyll-a (Chl-a) and up to 0.9 forsuspended particulate matters (SPM). In the Vecht lakes, the modified modelderived accurate values of IOPs. The R2 values were 0.89 for Chl-a andup to 0.95 for SPM. The RMSE values were 0.93 mg m−3 and0.56 g m−3 for Chl-a and SPM respectively. Finally, the IOPs of theVeluwe lakes are derived from multi-spectral, ocean color and hyperspectralairborne data. Inversion-uncertainties of the derived IOPs were alsoestimated using a standard nonlinear regression technique. The study showsthat inversion-uncertainties of remote sensing derived IOPs are proportionalto water turbidity.