小波分析用于土壤速效钾含量高光谱估测研究

doi:10.3864/j.issn.0578-1752.2012.07.022

Abstract

Abstract: 【Objective】 This study aimed at improving the precision and practicability of the soil available potassium estimation model by removing the noise of soil hyperspectral reflectance. 【Method】 Seventy-six soil samples with similar soil organic matter, nitrogen and phosphorus element contents and different potassium element contents were selected. The first derivative spectrum of the soil sample logarithmic reflectance was decomposed to multiple levels by using four kinds of wavelet function, respectively. The low frequency wavelet coefficients were obtained, and the hyperspectral estimation models of soil available potassium content were built. 【Result】The results showed that the low frequency wavelet coefficients of 1-3 levels could represent the original spectrum. Based on the low frequency coefficients of different wavelet functions at the same level, the precise of soil available potassium estimation model showed a little difference. The model built with the low frequency coefficient of the second decomposition level using the Bior 1.3 function had comparatively high accuracy and was chosen as the best model. With the data reducing to 25% and reflecting 95.6% information of the input spectrum, the model building R2 reached 0.976 and RMSE was 10.66 mg•kg-1, which was validated to have fairly good forecast accuracy. 【Conclusion】Therefore, wavelet analysis for obtaining wavelet coefficients can not only extract the soil hyperspectral information, but also compress data, which is feasible to forecast soil potassium content in combination with partial least squares regression method.

Key words: hyperspectral, soil available potassium, wavelet analysis, wavelet coefficient

CHEN Hong-Yan, ZHAO Geng-Xing, LI Xi-Can, LU Wen-Li, SUI Long. Application of Wavelet Analysis for Estimation of Soil Available Potassium Content with Hyperspectral Reflectance[J].Scientia Agricultura Sinica, 2012, 45(7): 1425-1431.

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Application of Wavelet Analysis for Estimation of Soil Available Potassium Content with Hyperspectral Reflectance

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