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Farmland soil organic carbon content data acquisition method based on TM image assistance

A data acquisition and organic carbon technology, applied in the field of digital agricultural soil quality monitoring, can solve the problems of difficulty in meeting the needs of high temporal and spatial resolution data, affecting the estimation accuracy of simulated soil organic carbon, and limited temporal and spatial resolution, so as to improve the work of data acquisition. Efficiency, reduced time and economic costs, improved spatial resolution

Active Publication Date: 2020-07-10
HENAN UNIV OF URBAN CONSTR
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Problems solved by technology

Therefore, the direct survey and estimation method can obtain first-hand soil information data, but the temporal and spatial resolution is limited, and it is difficult to meet the current high spatial and temporal resolution data needs
The method of indirect estimation of soil organic carbon change based on the carbon cycle process model, its simulation accuracy is limited by the complexity of parameters, which in turn affects the estimation accuracy of simulated soil organic carbon

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  • Farmland soil organic carbon content data acquisition method based on TM image assistance
  • Farmland soil organic carbon content data acquisition method based on TM image assistance
  • Farmland soil organic carbon content data acquisition method based on TM image assistance

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Embodiment Construction

[0031] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0032] The present invention designs a data acquisition method of farmland soil organic carbon content based on TM image assistance, which is used to obtain the soil organic carbon density at each position in the target area, such as figure 1 As shown, the following steps A to H are specifically performed.

[0033] Step A. For each sample point with a preset number and preset distribution in the target area, obtain the soil organic carbon density at the sample point location, and then proceed to step B.

[0034] Since the soil type, farming system, land use type, and climate characteristics within a diameter of 100 meters around the sample point are consistent with the attribute information of the sample point, the sample point can represent the surrounding soil fertility characteristics; therefore, in practical applicat...

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Abstract

The invention relates to a farmland soil organic carbon content data acquisition method based on TM image assistance. According to the farmland soil organic carbon content data acquisition method, a brand new design method is adopted for carrying out interpolation and resampling analysis by adopting a small amount of sample data; more sampling point data can be obtained, namely, soil organic carbon density data with high resolution in a region can be rapidly obtained, and the obtained data has the advantage of high reliability; moreover, the contradiction between the cost and the number of thesample points can be solved, namely, high-density sample point data can be obtained through assistance of a TM image by utilizing the small amount of sample data, the cost is reduced, meanwhile, enough sample point data can be guaranteed to be obtained, the spatial resolution can be rapidly and greatly improved, and the working efficiency of data acquiring is greatly improved. In conclusion, thedesigned method significantly reduces the time and economic costs required for data acquisition, data support can be provided for digital agriculture big data analysis, and the technical blank that current data acquisition is difficult is filled up.

Description

technical field [0001] The invention relates to a method for acquiring farmland soil organic carbon content data aided by TM images, and belongs to the technical field of digital agricultural soil quality monitoring. Background technique [0002] Due to the complexity of soil morphology and evolution process, it is difficult to quantitatively describe soil morphology and properties, and the quantitative description of spatial variation characteristics and spatial correlation is more complicated. How to quickly obtain the key soil information required has become a challenge for scientific researchers. Hot Issues. [0003] In the field of soil monitoring, the current large-scale sampling survey process is very cumbersome. It is necessary to go to the specific location of the sample point to collect samples and bring the sample back to the laboratory for further analysis, which requires a lot of manpower and time. However, the cost of manpower and time is greatly increased, re...

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Application Information

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IPC IPC(8): G01N33/24G01N21/17
CPCG01N33/24G01N21/17G01N2021/1793G01N2021/1789G01N2021/178
Inventor 赵占辉张宏敏鲁春阳李军杰李会杰杨锋
Owner HENAN UNIV OF URBAN CONSTR
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