Sensitivity analysis for Chl-a retrieval of water body using hyperspectral remote sensing data with different spectral indicators

Some spectrum indicators, such as central length, SNR, spectral resolution affect accuracy of water quality retrieval, but are ignored due to the limitations of a single sensor. Take Chlorophyll a retrieval as an example, the sensitivity analysis was conducted using single band, first-order differential and band ratio methods. The results indicated that optimal central wavelength would change because of differences of models for Chl-a retrieval using same samples; the coefficients gradually decreased with decreasing of spectral resolution, but these changes were not significant; responses of these models to different SNR were different, and first-differential methods was worse compared with that of single band and band ratio model.