Undisturbed soil profile carbon component prediction method based on hyperspectral imaging and support vector machine technology

Abstract

The invention relates to an undisturbed soil profile carbon component prediction method based on hyperspectral imaging and a support vector machine technology. The method comprises the steps: obtaining a hyperspectral image of a soil profile sample with a preset depth at each sample position, taking each characteristic spectral band of a soil carbon component type corresponding to a target sample spectral region as input, taking the soil carbon component data of the soil carbon component type corresponding to the target sample spectral region as output, and training to obtain a soil carbon component prediction model corresponding to the soil carbon component type so as to predict the carbon component of the soil profile of the target region. The whole design scheme can quickly and accurately predict the contents of components such as organic carbon, soluble carbon, easily oxidized carbon and soil microbial biomass carbon in the undisturbed soil profile, and realizes fine drawing of spatial distribution of the components on the soil profile; the defects of a traditional laboratory chemical analysis method are overcome.

Description

technical field [0001] The invention relates to a method for predicting carbon components of undisturbed soil profiles based on hyperspectral imaging and support vector machine technology, and belongs to the technical field of soil detection. Background technique [0002] Soil organic carbon (SOC) plays an important role in regulating the physical, chemical and biochemical processes of soil. It is not only an important indicator for evaluating soil fertility, but also an important part of the global carbon cycle. Soil organic carbon exists in a series of heterogeneous soil organic matter. The level of total organic carbon can represent the quantity change of soil organic matter, but it cannot reflect the change of its quality and internal composition. SOC pools can be broken down into many functionally or biologically distinct components by physical or chemical grouping. Among them, soil active organic carbon (such as soluble carbon, easily oxidized carbon and soil microbia...

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Problems solved by technology

Although the method described in this invention can improve the detection efficiency and detection accuracy of soil organic carbon content, it cannot obtain the spatial distribution of organic carbon on the soil profile; in addition, this invention cannot simultaneously detect soluble carbon, easily oxidizable carbon and soil microbial biomass carbon equal carbon content

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