Studies on methods for quality assessment of crop spectral data

In the process of measurement, a number of factors will affect the quality of data. Therefore, data must be verified and assessed before their applications. This work discussed some methods for quality assessment of crop spectral data, which include methods of analysis of spectral characteristics, statistical test and spectral simulation. The method of spectral analysis compares measured spectra with the reference spectrum, and analyzes the location of wave crest, wave trough and the shape, intensity of spectral reflectance curves. The method of statistical test consists of shape similarity test and intensity test. The shape similarity test analyzes the correlation between measured spectral data and the reference spectral datum over the special wavelength range and assesses quality of the measured data by the correlation coefficients. The intensity test calculates the mean value and standard deviation of spectral data, and forms a spectral zone around the mean value. We consider it as the abnormal one if one spectral curve goes beyond the spectrum zone. The method of spectral simulation mainly compares measured spectra with simulated spectra by combined PROSPECT-SAIL model. Results show these methods of quality assessment are feasible.