Soil organic carbon density spatial heterogeneity-considered Kriging interpolation model

A spatial heterogeneity and Kriging interpolation technology, applied in instrumentation, design optimization/simulation, calculation, etc., can solve problems such as the need to improve the prediction accuracy, achieve the effect of weakening the influence and improving the interpretation ability

Active Publication Date: 2017-09-22
WUHAN UNIV
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Problems solved by technology

In the study of soil attribute kriging interpolation combined with land use information, some scholars carry out spatial partitioning according to land use types, realize sub-area spatial interpolation respectively and combine the results, but this method is mostly used for land use types with large spatial dimensions. In the case of continuous area (Wu Qian et al., 2017); in addition, some scholars use the method of co

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  • Soil organic carbon density spatial heterogeneity-considered Kriging interpolation model
  • Soil organic carbon density spatial heterogeneity-considered Kriging interpolation model
  • Soil organic carbon density spatial heterogeneity-considered Kriging interpolation model

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[0030] 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.

[0031] The research area of ​​this example is located in the Jianghan Plain, adjacent to Honghu Lake, with small topographical undulations, and has been deeply affected by human activities. The natural vegetation has been basically replaced by crops, and the land use types are mainly paddy fields, irrigated land, and pond water surface construction land. And the fragmentation of land use patches is relatively large. In this case, none of the methods proposed by the predecessors are fully applicable. The following will use this case to illustrate the applicat...

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Abstract

The invention discloses a soil organic carbon density spatial heterogeneity-considered Kriging interpolation model. According to the Kriging interpolation model, influences, on common Kriging methods, of low-spatial heterogeneity and spatial abnormal values are reduced by combining land utilization information; and according to different trend term functions, the Kriging interpolation model comprises a virtual variable regression Kriging method, a mean centralized Kriging method and a median centralized Kriging method. By utilizing the model, high-precision SOCD prediction and mapping are realized, and finally, an optimum prediction method and a prediction result thereof are selected according to model evaluation indexes. The reliability, prediction rationality, prediction precision and decision coefficient R2 of the model are remarkably improved; and meanwhile, the model realizes high-precision SOCD spatial mapping, so that significance is provided for realizing precision agriculture and improving the agricultural production efficiency.

Description

technical field [0001] The invention belongs to the technical field of soil quality evaluation, and relates to a soil organic carbon density (SOCD) spatial distribution prediction and mapping method, in particular to a land use-Kriging interpolation model considering the spatial heterogeneity of soil organic carbon density. Background technique [0002] Soil organic carbon density (SOCD) is an important index for evaluating soil quality, which profoundly affects the physical and chemical properties of soil. Accurately describing the spatial distribution characteristics of regional soil organic carbon density and completing the accurate mapping of SOCD spatial distribution are of great significance for realizing precision agriculture, guiding agricultural production and improving agricultural production efficiency. Ordinary Kriging (OK), as a linear and unbiased optimal spatial interpolation method, can obtain the spatial distribution characteristics of regionalized variables...

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/20Y02A40/10
Inventor 陈奕云吴子豪刘以郭凯胡家蒙郭龙
Owner WUHAN UNIV
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