Hodnocení míry znečištění vodních nádrží sinicemi metodami dálkového průzkumu Země

The thesis deals with evaluating the pollution of selected water reservoirs by cyanobacteria and algae using their spectral characteristics. The thesis compares data measured by a spectroradiometer ASD Fieldspec 4 with laboratory-evaluated data collected in situ. Spectral algorithms 709/620 and 709/665 were chosen to evaluate the degree of pollution by cyanobacteria and algae. The values of the spectral algorithms 709/620 and 709/665 showed a close linear relationship with the laboratory-evaluated concentrations of phycocyanin and chlorophyll-a (709/620 with PC and 709/665 with Chl-a) and the regression models achieved considerable accuracy (R2PC = 0.7339; R2Chl-a = 0.7899). In the case of the relationship of the spectral algorithm 709/665 with TP, PP and PN, a close linear dependence was also achieved. And the regression models again achieved considerable accuracy (R2TP = 0.7273, R2PP = 0.7466, R2PN = 0.7491). This indicates that the use of the ASD Fieldspec spectrometer, and thus other DPZ methods using spectral reflectance for evaluation, offers in practice a suitable alternative to evaluating surface water status through laboratory evaluation of samples