Soil organic matter space distribution predication method based on qualitative and quantitative auxiliary variables

A technology of spatial distribution and auxiliary variables, applied in soil material testing, instruments, calculations, etc., can solve the problem of underutilization of qualitative factors, etc.

Inactive Publication Date: 2014-01-22
SICHUAN AGRI UNIV
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Problems solved by technology

However, in the prediction of the spatial distribution of soil

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  • Soil organic matter space distribution predication method based on qualitative and quantitative auxiliary variables
  • Soil organic matter space distribution predication method based on qualitative and quantitative auxiliary variables
  • Soil organic matter space distribution predication method based on qualitative and quantitative auxiliary variables

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Embodiment

[0030] A method for predicting the spatial distribution of soil organic matter based on qualitative and quantitative auxiliary variables, the steps are as follows:

[0031] 1) Data source: use the selected topographic map, land use status map and soil type distribution map of the research area as auxiliary information, and comprehensively consider topography, soil type and other information on the basis of the principle of representativeness and uniformity to conduct soil sampling points The layout of the soil sampling site adopts the method of multi-point mixing to collect surface soil samples. A total of 2,346 soil samples were collected in the whole region, and each sampling point recorded its geographical coordinates and altitude with GPS, and at the same time recorded in detail the environmental information of the sampling point, such as soil type, cultivated crops, and crop rotation methods. The collected samples were brought back to the laboratory, air-dried naturally a...

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Abstract

The invention discloses a soil organic matter space distribution predication method based on qualitative and quantitative auxiliary variables. The soil organic matter space distribution predication method is characterized by comprising the following steps: (1) data sources; (2) auxiliary data sources and processing; (3) a research method; (4) a contrast method. With the adoption of the technical scheme, compared with the prior art, the soil organic matter space distribution predication method applies an artificial neural network model and carries out space distribution predication of the content of soil organic matters on the basis of fusing the qualitative and quantitative auxiliary environment variables including soil types, terrain factors, vegetation indexes and the like, so as to provide method references for the regional high-precision space distribution predication of soil properties.

Description

technical field [0001] The invention relates to a method for predicting the spatial distribution of soil organic matter based on qualitative and quantitative auxiliary variables. Background technique [0002] Soil organic matter is an important indicator of soil properties and a source of plant mineral and organic nutrients. It plays an important role and significance in regional soil fertility, agricultural production and environmental protection. Due to the influence of various soil-forming factors and ecological processes, the content of soil organic matter presents a non-uniform distribution in space. Usually based on the information of soil organic matter content obtained by sampling, it is difficult to meet the actual needs of regional agricultural production and environmental protection for the distribution characteristics of soil organic matter content in the area. Therefore, accurate acquisition of spatial distribution information of soil organic matter content is ...

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Application Information

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IPC IPC(8): G01N33/24G06F19/00
Inventor 李启权王昌全李冰张新高雪松张毅袁大刚
Owner SICHUAN AGRI UNIV
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