Retrieval of Chlorophyll Content Using Continuous Wavelet Analysis Across a Range of Vegetation Species

Continuous wavelet transform is used for vegetation hyperspectral analysis at two scales among four data sets. The relationship between chlorophyll content and wavelet coefficients was built，and the accuracy was compared to the vegetation index emphasis model. Cross validation was carried out between different data sets. The results show that the accuracy of the wavelet coefficients model is higher than the other models at both scales. Several wavelet features were suitable for chlorophyll retrieval from simulated and measured data seta at the same scale.