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Soil property interpolation estimation method

An attribute value and attribute technology, applied in the field of soil science research, can solve problems such as low estimation accuracy, and achieve the effect of improving interpolation accuracy, reasonable interpolation results, and reducing demand

Inactive Publication Date: 2017-12-01
YUNNAN HANZHE TECHN CO LTD
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AI Technical Summary

Problems solved by technology

[0009] The purpose of the present invention is to provide a method for estimating soil attribute interpolation, which solves the problem that the current estimation of soil attribute interpolation adopts simple Kriging method and the estimation accuracy is low

Method used

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Experimental program
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specific Embodiment

[0049] 1. Use the kriging method to generate the prior probability distribution of the variable to be measured

[0050] Divide the research area into a grid of row×col (take two-dimensional plane interpolation as an example) according to the precision requirements of the cartography. Suppose there are N sampling points in this area, then the attribute value of the kth (kij , where iij , an estimate of its property It can be calculated using the following formula:

[0051]

[0052] Where: X(p n ) is the point to be measured p ij Attribute values ​​of surrounding observation points; p n is the spatial position of each observation point around the point to be measured; N is the number of observation points around the point to be measured; λ n is the observation point attribute value X(p n )the weight of.

[0053] The key to determining the estimated value of the point to be measured in the above formula is to determine λ n , which can be found by solving the following s...

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Abstract

The invention discloses a soil property interpolation estimation method. The method comprises the following steps of: S1, generating prior probability distribution of soil property to-be-measured variables by utilizing a Kriging method; S2, generating soft data by utilizing a correlational relationship between environment factors and prediction points; S3, updating the probability distribution of the soil property to-be-measured variables by utilizing a BME method; and S4, drawing a soil space property map by utilizing the probability distribution of soil the property to-be-measured variables. According to the method, the Kriging method which is simple to operate and mature and a Bayesian maximum entropy method which is accurate and reasonable are combined, so that the interpolation process is more simple and convenient and interpolation result is more reasonable.

Description

technical field [0001] The invention relates to the field of soil science research, in particular to an estimation method for soil property interpolation. Background technique [0002] The distribution characteristics and quantitative distribution information of soil continuous attributes (soil nutrient content, heavy metal content) are the basis for soil productivity evaluation and environmental comprehensive evaluation. In recent years, with the implementation of the precision agriculture strategy, higher requirements have been placed on the accuracy of soil property information. Therefore, how to improve the prediction accuracy of soil properties and provide accurate soil property information for agricultural production and ecological evaluation has become a hot issue in soil science research. [0003] Classical geostatistical methods represented by the Kriging method have been widely used in many disciplines, but there are still some defects in the method itself, which ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
CPCG16Z99/00
Inventor 邓昌军林迪王琳李锐傅南昌罗元金赵明瑞陈丽莉杨跃文
Owner YUNNAN HANZHE TECHN CO LTD
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