Abstract: A spectral information separation and aggregation method includes: performing smooth denoising on spectral data through a spectral denoising method to obtain processed spectral data; processing the processed spectral data through a spectral data processing method to obtain spectral information with at least two dimensions and thereby spectral information of multi-dimensions are obtained; quantitatively analyzing correlations among spectral information of respective dimensions through a correlation-analysis algorithm, and calculating spectral information coupling coefficients according to the correlations among the spectral information of the respective dimensions; coupling the spectral information of multi-dimensions to thereby obtain resultant spectral information; and calculating a correlation between the resultant spectral information and ground-object parameters through a correlation-analysis algorithm, and evaluating an effect of the coupling.

Abstract: The present invention discloses a CEEMDAN-based method for screening and monitoring soil moisture stress in farmland, characterised by the steps: preprocessing of remote sensing images, construction of NDVI long time series, CEEMDAN decomposition, calculation of statistical descriptors, screening of soil moisture stress sequences, ground data measurement, construction of soil moisture stress characteristic curves, fitting of soil moisture stress response characteristic curves and predicting the content of soil moisture stress. The invention adopts CEEMDAN decomposition, which solves the problems of noise residue and low reconstruction accuracy in the previous methods, and the high reconstruction accuracy of decomposed component data is more conducive to capturing the transient effects of soil moisture stress, and realizes the screening and extraction of soil moisture stress by combining with the ground measured data.