Method, system and device for obtaining salt of severe saline soil

A saline soil and salinity technology, applied in the field of soil salinity monitoring, can solve problems such as the inability to obtain soil salinity information

Inactive Publication Date: 2019-02-15
SHANDONG AGRICULTURAL UNIVERSITY
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Problems solved by technology

Existing studies have shown that UAV technology has been applied to the quantitative and accura

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  • Method, system and device for obtaining salt of severe saline soil
  • Method, system and device for obtaining salt of severe saline soil
  • Method, system and device for obtaining salt of severe saline soil

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[0022] In order to clearly illustrate the technical features of the solution, the solution will be described below in conjunction with the accompanying drawings and specific implementation methods.

[0023] figure 1 For a schematic flow chart of a method for obtaining salt in severely saline soil provided in the embodiment of the present application, see figure 1 , the method includes:

[0024] S101. Obtain the reflectance values ​​of each band in the multispectral remote sensing image captured by the UAV, the measured salinity data of the sampling point, and the reflectance value of the pixel band corresponding to the sampling point in the multispectral remote sensing image.

[0025] Obtain the measured salinity data and the multi-spectral remote sensing image taken by the drone, preprocess the multi-spectral remote sensing image to obtain a synthetic band image, wherein the synthetic band image contains image band reflectance values, and extract the measured sampling points...

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Abstract

The invention discloses a method, a system and a device for obtaining salt of severe saline soil. The method comprises the following steps: respectively obtaining reflectance values of each band in amulti-spectral remote sensing image taken by a UAV(unmanned aerial vehicle), measured salt data of a sampling point and corresponding pixel band reflectance values of the sampling point in the multi-spectral remote sensing image; analyzing the relationship between the measured salt data of the sampling point and the corresponding pixel band reflectance values in the multi-spectral remote sensing image with a gray correlation degree method, and screening a pixel band to determine intensity parameters; constructing a salt estimation model of the saline soil by adopting a support vector machine;performing spatial distribution inversion on soil salinity in a to-be-measured area of the severe saline soil according to the salt estimation model of the saline soil, and obtaining the soil salinityin the to-be-measured area of the severe saline soil. Through the artificially measured salt data and multi-spectral remote sensing image taken by the UAV, the salt estimation model of the saline soil is established to invert the spatial distribution of the soil salinity in the to-be-measured area of the severe saline soil, so that the salt data of the severe saline soil can be quickly obtained.

Description

technical field [0001] The application relates to the technical field of soil salinity monitoring, in particular to a method, system and device for obtaining salt in severely saline soil. Background technique [0002] With the change of global climate and the interference of human activities, soil salinization is still one of the most common and widespread land degradation phenomena in the world. It is estimated that the saline soil accounts for 7.26% of the entire land area in the world, which seriously affects the local ecological balance and threatens the sustainable development of ecology and economy. Therefore, quantitative and accurate monitoring of saline soil is of great significance for its governance and ecological agriculture construction. The emergence of remote sensing, especially hyperspectral remote sensing, provides a scientific and effective method for the quantitative and rapid analysis of saline soil. [0003] Many scholars have carried out research on t...

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Application Information

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IPC IPC(8): G01N21/27
CPCG01N21/27
Inventor 陈红艳王丹阳马莹郭鹏
Owner SHANDONG AGRICULTURAL UNIVERSITY
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