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Estimation of Fluvo-aquic Soil Organic Matter from Hyperspectral Reflectance by Using Discrete Wavelet Transformation

文献类型： 外文期刊

作者： Liao, Qinhong 1 ; Wang, Jihua 1 ; Li, Cunjun 2 ; Gu, Xiaohe 2 ;

作者机构： 1.Zhejiang Univ, Inst Agr Remote Sensing & Informat Tech, Hangzhou 310003, Zhejiang, Peoples R China

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

关键词： fluvo-aquic soil;organic matter;hyperspectral reflectance;discrete wavelet transformation

期刊名称：2012 FIRST INTERNATIONAL CONFERENCE ON AGRO-GEOINFORMATICS (AGRO-GEOINFORMATICS)

ISSN： 2334-3168

年卷期： 2012 年

页码：

收录情况： SCI

摘要： The estimation of soil organic matter (SOM, %) is an important issue for agricultural production, but common methods for estimating the SOM is very expensive and time-consuming. Recently, hyperspectral diagnosis technology has showed great potential in measuring SOM due to its rapid, non-destructive, reproducible and cost-effective characteristics, thus four common spectral analysis methods had been used to estimate the fluvo-aquic soil organic matter (SOM< 2%), but the highest determination coefficient (R-2) was only 0.09. As a novel method, the discrete wavelet transformation was performed on each of the soil reflectance spectra. The hyperspectral reflectance removed by hull curve were decomposed into 4 scales, the modulus maxima of the detail signals in visible and near infrared bands (560nm-660nm, 940nm-1060nm) were chose as a novel spectral indice. The estimation model had been built effectively by using this spectral indice, the R-2 between this indice and SOM can reach to 0.83. These results provide new insights into the role of soil absorption features in the visible and near infrared bands for the accurate spectral estimation of SOM, it may be extended to the estimation of other soil nutrient such as nitrogen, phosphate and potassium.

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[2]Mapping farmland organic matter using HSI image and its effects of land-use types. Gu Xiaohe,Dong Yansheng,Wang Kun. 2012

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