Optimizing predictive models for leaf chlorophyll concentration based on continuous wavelet analysis of hyperspectral data

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Hyperspectral characterization of freezing injury and its biochemical impacts in oilseed rape leaves (2017, methodology): “The first domain 319 was selected by removing atmospheric water absorption wavelengths, while the other was 320 based on the results of Huang & Blackburn (2011) which showed that the spectral 321 wavelength domain 400-900 nm is optimal for quantifying leaf chlorophyll concentration.”