Soil sampling method based on near-earth sensor technology

Abstract

The invention discloses a soil sampling method based on a near-earth sensor technology. Data quickly acquired by utilizing a near-earth sensor are transformed into a decorrelation matrix with one center by transforming a principal component and removing outliers, then the positions of initial candidate points of a curved surface response design are found by adopting a central composite response design, the position points only statistically satisfy the selection of coordinate position points of the central composite response design, afterwards the screening of the optimal position is determined by adopting iterative computation according to the standards of minimized distance and a maximized covariance structure among close positions, whether sampling positions are evenly distributed in a sample area is judged by adopting an optimized index, and finally sampling points with the coordinate positions are output in a form of graphics. Efficient sampling for soil fertility can be carried out by combining the data quickly acquired by utilizing the near-earth sensor with the curved surface sampling design, and an optimal soil sampling layout scheme can be obtained quickly and accurately, the cost is saved, and the efficiency and the representativeness of the distribution of the sampling points are improved.

Description

technical field [0001] The invention relates to a soil sampling method, in particular to a soil sampling method based on near-earth sensor technology. Background technique [0002] Accurate understanding of soil fertility and its spatial distribution is the basis for fully, rationally and sustainably utilizing soil resources. Since it is impossible to measure the soil fertility characteristics of all locations in the region, sampling survey has become the basic method to obtain soil fertility information and its spatial distribution. Sampling design directly affects the accuracy of soil mapping using sample points, so it has become a key link in soil sampling surveys, and it is also a research hotspot in related fields at home and abroad. At present, the sampling methods commonly used for inferring and mapping the spatial distribution of soil fertility include classical sampling methods and spatial sampling methods based on geostatistics. Classical sampling methods usually...

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Problems solved by technology

[0004] However, there are still some problems in the spatial sampling method based on geostatistics: (1) The design of the sampling scheme depends on the variation function, and the variation function can only be known after sampling

(3) The establishment of the variation function needs to meet two assumptions: the second-order stationary assumption and the intrinsic assumption, and these two assumptions are often difficult to be satisfied under complex actual field conditions

[0008] However, the sample size required by the above sampling method is usually large, time-consuming, labor-intensive, and costly, and there is also the problem that the sampling position cannot be precisely positioned

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