Ecological environment parameter ground sampling method suitable for wide-range multi-scale satellite remote sensing data inversion

A technology of satellite remote sensing data and ecological environment, which is applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., and can solve problems such as unstable accuracy

Active Publication Date: 2015-03-25
AEROSPACE INFORMATION RES INST CAS
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Problems solved by technology

[0007] Considering the preconditions and application limitations of the above sampling methods, this method aims at the unstable accuracy of the existing methods, and proposes a ground sa

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  • Ecological environment parameter ground sampling method suitable for wide-range multi-scale satellite remote sensing data inversion
  • Ecological environment parameter ground sampling method suitable for wide-range multi-scale satellite remote sensing data inversion
  • Ecological environment parameter ground sampling method suitable for wide-range multi-scale satellite remote sensing data inversion

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Embodiment Construction

[0024] The ground sampling method for multi-scale soil water content of the present invention will be further described below in conjunction with the accompanying drawings.

[0025] First, reasonable sample numbers for different sampling methods are estimated for this comparison. For the 55m research scale, the relationship between the number of samples obtained by using different sampling methods and the corresponding standard deviation is shown in figure 1 ,From figure 1 It can be seen that the increase in the number of samples leads to a sharp decrease in the standard deviation. When the standard deviation is equal to 0.0076cm 3 cm -3 (with a relative error of 5% and a confidence level of 95%), the estimated NSS for traditional statistical and geostatistical sampling are 55 and 35, respectively. It shows that under a certain standard deviation, the NSS estimated by geostatistical sampling is smaller than the result of traditional statistics, which is consistent with the...

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Abstract

The invention relates to an ecological environment parameter ground sampling method suitable for wide-range multi-scale satellite remote sensing data inversion. The method is not limited by sample statistics distribution, and sample distribution characteristics approaching to real can be obtained through repeated sampling simulation of n observed values. The sampling efficiency of the method will be far more larger than the traditional statistics and self-help sampling efficiency; in addition, the practical application scope will be wider, the premise requirements for data independence and normal distribution in traditional statistics and layered sampling are not needed, layering on part of prior data and information of a testing area is not needed, semivariance information of ground statistical sampling is not needed, the method can be suitable for ground sampling of wide-range multi-scale satellite remote sensing data inversion ecological environment parameters, and the rapid and high-accuracy ground sampling is achieved.

Description

technical field [0001] The invention belongs to the field of surface parameter inversion of satellite remote sensing data, and in particular relates to a ground sampling method for ecological environment parameters aimed at the inversion of large-scale and multi-scale satellite remote sensing data. Background technique [0002] So far, many scholars have discussed the strategic issue of ground sampling design. An accurate sample design scheme should ensure that the mean of the sample points is a good estimate of the mean of the sample population. The ground sampling design mainly considers two aspects, one is to determine the optimal number of samples to be collected, and the other is to determine the spatial positions of these sample points to be arranged. The reasonable number of samples to be sampled depends on the goals of the sampling design, the variability of the sample population, the level of precision required for estimating the mean of the sample population, the ...

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Application Information

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IPC IPC(8): G06F19/00
Inventor 王春梅孟庆岩占玉林杨健吴俊刘苗
Owner AEROSPACE INFORMATION RES INST CAS
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