Soil nitrogen estimation method based on vegetation coverage

A technology of vegetation coverage and soil nitrogen, applied in measuring devices, material analysis through optical means, instruments, etc., can solve the time-consuming and labor-intensive problems of soil nitrogen nutrient estimation, achieve wide coverage, fast analysis speed, and free The effect of removing manpower and material resources

Pending Publication Date: 2021-11-09
杭州领见数字农业科技有限公司
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Problems solved by technology

[0007] The present invention provides a method for estimating soil nitrogen based on vegetation coverage, which aims to solve the problem that large-area soil nitrogen nutrient estimation in the ...

Method used

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  • Soil nitrogen estimation method based on vegetation coverage
  • Soil nitrogen estimation method based on vegetation coverage
  • Soil nitrogen estimation method based on vegetation coverage

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0050] Such as figure 1 As shown, a soil nitrogen estimation method based on vegetation coverage includes the following steps:

[0051]S110. Obtain remote sensing image data of the soil to be measured, and perform normalized calculation on the remote sensing image data to obtain a normalized vegetation index;

[0052] S120. Calculate and obtain the image vegetation coverage of the soil to be measured according to the normalized difference vegetation index, the calculation formula of the image vegetation coverage is: FV1=(NVDI-NDVImin) / (NDVImax-NDVImin), wherein, FV1 Indicates the influence of vegetation coverage, NDVImax and NDVImin are the maximum and minimum NDVI values ​​in the area, respectively;

[0053] S130. Acquire the vegetation coverage on the spot, and establish a mapping relationship from the vegetation coverage of the image to the vegetation coverage on the spot according to regression analysis;

[0054] S140, establishing a regression equation between the measu...

Embodiment 2

[0066] Such as figure 2 As shown, a soil nitrogen estimation method based on vegetation coverage, including:

[0067] S210. Determine the latitude and longitude, and obtain the measured vegetation coverage and the image vegetation coverage of the corresponding position;

[0068] S220. Establish a scatter diagram of the measured vegetation coverage and the image vegetation coverage of the location;

[0069] S230. Obtain a mapping relationship between the measured vegetation coverage and the image vegetation coverage according to chart correlation analysis;

[0070] S240. Establish a regression equation between the measured vegetation coverage and the measured soil nitrogen;

[0071] S250. Obtain an inversion model between the image vegetation coverage and soil nitrogen based on the mapping relationship and the regression equation, so as to estimate the nitrogen content in the soil to be measured.

[0072] It can be seen from Example 2 that the relationship between the image...

Embodiment 3

[0074] Such as image 3 As shown, a specific implementation manner can be:

[0075] Step 1: Acquisition of measured soil nutrient data

[0076] Firstly, select the quadrat area, and distribute it as evenly as possible to the entire research area, and follow the following rules in terms of quantity:

[0077] Sample size = (confidence level 2 *coefficient of variation 2 ) / acceptable relative deviation 2 , where the confidence level is generally selected as 0.95 or 0.99; the coefficient of variation can be estimated based on the historical data of the area, and when there is no historical data in the area, generally 0.1 to 0.3 can be used to roughly estimate the coefficient of variation. The coefficient of variation of available phosphorus and available potassium can be taken as 0.5; the acceptable relative deviation is generally limited to 0.2-0.3 in soil environmental monitoring. Because high-precision monitoring results are required, we set these coefficients as follows: ...

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Abstract

The invention provides a soil nitrogen estimation method based on vegetation coverage for soil nitrogen, which comprises the following steps: firstly, collecting remote sensing data, preprocessing the data, then calculating a normalized vegetation index, and then calculating the vegetation coverage of an image by the normalized vegetation index; distributing points in a to-be-monitored area to collect soil data, and measuring field vegetation coverage in real time; next, carrying out regression analysis of actually measured soil nitrogen data and actually measured vegetation coverage, and establishing a mapping relation; calculating a regression equation between the image vegetation coverage and the actually measured vegetation coverage; and finally, simultaneously establishing the two equations to obtain an inversion model between the image vegetation coverage and the soil nitrogen. Inversion from images to soil nitrogen is achieved, large-scale rapid monitoring of the soil nitrogen is completed, stable and continuous soil monitoring data are obtained, and the method is used for guiding scientific management of soil nutrients and controlling the cost of soil nutrient management.

Description

technical field [0001] The invention relates to the field of agricultural remote sensing, in particular to a method for estimating soil nitrogen based on vegetation coverage. Background technique [0002] Land is the most important material basis for agricultural production, the most basic means of production and the most basic living guarantee for farmers. In recent decades, with the continuous progress of industrialization and informatization, my country's agricultural output has been greatly improved. In this process, the scientific management of nutrients has played an important role. Among them, accurate and rapid estimation of the nitrogen content in the soil is the guarantee to promote the comprehensive development and smooth progress of soil testing and formula fertilization, and it is also an important means to accelerate the development of agricultural informatization. The traditional soil sampling test method adopts chemical analysis method, which is relatively ...

Claims

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Application Information

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IPC IPC(8): G01N21/359G01N21/3563
CPCG01N21/359G01N21/3563
Inventor 周祖煜陈煜人王俊霞余敏李天齐张澎彬白博文
Owner 杭州领见数字农业科技有限公司
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