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Method for constructing spectral estimation model calibration sample set for total nitrogen in soil

A technique for estimating models and correcting samples, applied in the field of spectral analysis to achieve high accuracy and spatial representation

Inactive Publication Date: 2017-07-28
WUHAN UNIV
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Problems solved by technology

[0007] Aiming at the problem that the correction sample set of the visible-near-infrared spectrum estimation model of soil total nitrogen content is not representative enough in the prior art using soil visible-near-infrared reflection spectrum, a method combining spectral transformation and Kennard-Stone algorithm is proposed. The construction method of the calibration sample set of the soil total nitrogen spectrum estimation model, which is more spatially representative than the previous calibration sample set directly based on the reflectance spectrum, and the prediction accuracy of the model established by it is greatly improved

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  • Method for constructing spectral estimation model calibration sample set for total nitrogen in soil
  • Method for constructing spectral estimation model calibration sample set for total nitrogen in soil
  • Method for constructing spectral estimation model calibration sample set for total nitrogen in soil

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[0015] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.

[0016] please see figure 1 A method for constructing a soil total nitrogen spectrum estimation model calibration sample set provided by the invention comprises the following steps:

[0017] Step 1: Measure the visible-near-infrared spectral data and total nitrogen content data of the soil sample;

[0018] In this example, 100 soil samples of paddy soil in the plow layer in the Binhu area in the northwest of Honghu City, Hubei Province were collected. When sampling, collect 5 parts of 0-15cm topsoil within about 10 square meters of each sampling point in the...

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Abstract

The invention discloses a method for constructing a spectral estimation model calibration sample set for total nitrogen in soil. The method comprises the steps of firstly measuring visible-near infrared spectrum data and total nitrogen content data of soil samples; carrying out different spectral transformation on the spectrum data and selecting the calibration sample set from the data after spectral transformation; and finally constructing an estimation model for the total nitrogen content in the soil by using a partial least squares method. Compared with a traditional method for carrying out a Kennard-Stone algorithm to construct the calibration sample set by simply adopting a soil reflection spectrum, the method disclosed by the invention has the advantages that the constructed calibration sample set has spatial representativeness, the prediction ability of the constructed total nitrogen content estimation model is significantly improved and a new ideal is provided for solving the problem that the soil spectrum is comprehensive reflection of soil attributes and the calibration sample set with target component representativeness is difficult to construct.

Description

technical field [0001] The invention belongs to the technical field of spectral analysis, and relates to a method for constructing a correction sample set for a soil total nitrogen spectrum estimation model, in particular to a method for constructing a correction sample set for a soil total nitrogen spectrum estimation model combining spectral transformation and a Kennard-Stone algorithm. Background technique [0002] As an important chemical component of soil, soil nitrogen is an important index to measure soil fertility and plays an important role in the global nitrogen cycle. Accurate, fast, and low-cost acquisition of soil nitrogen spatiotemporal distribution information is of great significance for promoting the development of precision agriculture, ensuring national food security, and protecting the natural ecological environment. [0003] Estimating the content of soil components using the reflectance spectrum or spectral index of soil in the visible-near-infrared ran...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/31
CPCG01N21/31
Inventor 陈奕云赵瑞瑛胡珊吴子豪郭凯刘以
Owner WUHAN UNIV
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