PUBLICACIONES

Poster. HIGHROC Science Conference. Brussels, Belgium, 7 – 9 November 2017.

In previous studies, such as in Shen et al. 2010, water reflectance is modelled as a function of IOPs via the Kubelka-Munk approximation of the Equation of Radiative Transfer. In this work, a total of 133 reflectance measurements (103 ASD, 30 RAMSES/Trios) in turbid waters of Río de la Plata were fitted via a simulated annealing optimization algorithm to a Kubelka-Munk theoretical expression of reflectance, in the spectral range 600-1000 nm, in which only the presence of non-algal particles (and water molecules) was considered. Two distinct RMSEs were used as cost functions in the simulated annealing optimization procedure: one calculated in hyperspectral mode, in the range 600-1000 nm (with the exception of the spectral range centered at the chlorophyll peak absorption at 670 nm) to check the global goodness of the model, and one computing difference between ​ in situ and modelled “baseline residuals”, defined as the reflectance peak after baseline subtraction of three consecutive triplets of the S3/OLCI bands centered at 620-709-779-865-1016 nm. This last cost function was evaluated to understand if these three “baseline-residuals” are potentially suitable and provide enough information to retrieve (highly scattering) water reflectances in the aforementioned OLCI bands without the​  ​ need​  ​ of​  ​ prior​  ​ atmospheric​  ​ signal​ removal, via​ the​ Kubelka-Munk reflectance model.