Classification of phytoplankton in Lake Constance by modeling the albedo

摘要

Abstract: Phytoplankton concentration and species composition in Lake Constance vary markedly over the year, and accordingly the surface albedo also changes. By increase modeling of albedo spectra, which were measured once per week over a period of 1.5 years from a ship, the accuracy for retrieving the concentrations of concurring phytoplankton classes was investigated. It was found that 4 classes can be separated with an error between 12 and 25 percent, depending on the natural variability of a class's optical properties. The differentiation between 4 classes improves the accuracy of chlorophyll-a determination for remote sensing by 30 percent. !17