A Method of Selecting Terrain Covariates for Digital Soil Mapping
A terrain covariate and soil technology, which is applied in 2D image generation, image data processing, instruments, etc., can solve the problem that terrain covariates have a very large influence, and the dimensionality reduction operation cannot accurately select the optimal set of different calculation methods and different terrain factors. , restricting the development and application of digital soil mapping technology
Active Publication Date: 2016-08-17
INST OF SOIL SCI CHINESE ACAD OF SCI
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The existing processing modes of digital terrain analysis mostly start from a single perspective, without comprehensively integrating data, physical meaning, and spatial distribution of soil attributes as a whole, and there are no research results that comprehensively discuss the relationship between the three and quantitative models , which makes it difficult for ordinary users to grasp how to establish a quantitative model according to topographic factors in the actual application process and achieve the purpose of maximizing efficiency, which restricts the development and application of digital soil mapping technology to a certain extent
[0007] (2) The implementation of digital soil mapping still relies on existing soil surveys and knowledge
[0008] (3) The selection of topographic covariates has a great influence on the results of mapping, and a single dimensionality reduction operation cannot accurately select the optimal set of different calculation methods and different topographic factors. Predicting different soil properties requires selection of different topographic variables
The accuracy of the terrain analysis results depends on the fineness of the DEM. A finer DEM can extract more accurate terrain factors. However, the ultra-high resolution (0.5m) DEM may not be the best
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[0039] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.
[0040] According to various topographic analysis methods and various calculation methods, the topographic factor variables in the process of soil mapping are abstracted, and the mathematical expression of the specific model is as follows:
[0041] F=(S long,lati ,V i,j ,R)
[0042] Among them, F is the result of soil mapping, S long,lati is the soil attribute data of each soil sample point, long and lati are the longitude and latitude position data of the soil sample point respectively, V i,j is terrain factor variable, 1≤i≤m, 1≤j≤n i , m is the number of types of terrain factors, n i is the number of calculation methods corresponding to the i-th terrain factor, and R is other covariates, such as land use, average annual temperature, etc. V i,j Terrain factor variables mainly include data resolution (Resolution), ...
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The invention relates to a terrain collaborative variable selection method for digital soil cartography. The multi-terrain-factor multi-algorithm selection method is adopted, different terrain factor variables are preprocessed and selected through a function testing strategy, the correlation mechanism of the terrain factor variables and soil properties is combined, the complex terrain factor variables can be selected fast and accurately, a technology focusing on evaluation analysis with correlation analysis is adopted, and a quantitative digital soil cartography terrain factor variable selection system that a general selection mechanism is adopted for the different terrain factor variables, dynamic factors are screened through different dependency relations, a control strategy is evaluated, and the algorithm performance is considered is achieved, and the wide industrial application prospects are achieved.
Description
technical field [0001] The invention relates to a terrain collaborative variable selection method for digital soil mapping. Background technique [0002] Digital Soil Mapping (DSM for short) is a soil information system based on environmental covariates, using mathematical models to conduct soil observation, soil knowledge to predict soil types, and attribute spatio-temporal evolution analysis to optimize soil survey and mapping techniques and improve soil information. Service quality is the ultimate goal. Traditional soil survey and mapping have provided a lot of information support for various industries and disciplines. At present, the rapidly expanding application requirements of various industries and the increasingly abundant technical means have posed serious challenges to the traditional soil mapping technology and method system. In the past 30 years, applications such as precision agriculture, environmental management, land management, and eco-hydrological simulat...
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IPC IPC(8): G06T11/00
Inventor 张甘霖宋效东赵玉国刘峰李德成杨金玲
Owner INST OF SOIL SCI CHINESE ACAD OF SCI