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Quantitative Inversion of Soil Organic Matter Content Based on Continuous Wavelet Transform

文献类型： 外文期刊

作者： Wang Yan-tang 1 ; Zhang Lan 1 ; Wang Huan 1 ; Gu Xiao-he 2 ; Zhuang Lian-ying 1 ; Duan Long-fang 1 ; Li Jia-jun 1 ; Lin J 1 ;

作者机构： 1.North China Inst Aerosp Engn, Inst Comp & Remote Sensing Informat Technol, Langfang 065000, Peoples R China

2.Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China

3.Aerosp Remote Sensing Informat Proc & Applicat Co, Langfang 065000, Peoples R China

4.Minist Agr, Key Lab Informat Technol Agr, Beijing 100097, Peoples R China

关键词： Soil organic matter; Continuous wavelet transformation; Hyperspectral

期刊名称：SPECTROSCOPY AND SPECTRAL ANALYSIS （ 影响因子：0.589； 五年影响因子：0.504 ）

ISSN： 1000-0593

年卷期： 2018 年 38 卷 11 期

页码：

收录情况： SCI

摘要： In this study, the data sourced from hyperspectral data of 96 tidal soil samples in Miyun, Tongzhou and Shunyi Districts of Beijing are processed and analyzed by means of continuous wavelet multiscale analysis technique. Firstly, the hyperspectral data are decomposed to generate wavelet coefficients and the correlation between the coefficients and soil organic matter content is analyzed, and the characteristic band is selected. Finally, the model to estimate soil organic matter content is constructed by using the characteristic band. The research results show that the estimation of soil organic matter by the reflectivity of soil spectrum is better than that of the traditional spectral transformation technology after continuous wavelet transformation. The ability of estimating soil organic matter by continuous wavelet decomposition decreases first and then increases with the reduction of spectral resolution. The results of continuous wavelet analysis can improve the ability to estimate the content of organic matter by the soil spectrum. Compared with the high spectral reflectivity of soil, the accuracy of soil organic content based on continuous wavelet is improved by 19%. Since the model accuracy is higher when built with the spectral resolution of 80 nm, its R-2 reaches 0. 632, which indicates that the wide band data can be used for the monitoring of soil organic matter content by using the continuous wavelet technique.

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