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An Improved Bivariate Fusion Method for Soil Moisture Products

A soil moisture and fusion method technology, applied in soil material testing, measuring devices, material inspection products, etc., can solve the problems of long consumption time, complicated use process, difficult acquisition, etc., and achieve the effect of strong change capture ability.

Active Publication Date: 2022-02-18
PEKING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The usual remote sensing products often share the same algorithm in the inversion process, so generally only two sets of independent products can be provided, that is, active products and passive products. There are only two independent products, so remote sensing products cannot be used alone for production. Fusion requires the estimation of other model products, so its use process is complicated, difficult to obtain, and takes a long time;

Method used

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  • An Improved Bivariate Fusion Method for Soil Moisture Products
  • An Improved Bivariate Fusion Method for Soil Moisture Products
  • An Improved Bivariate Fusion Method for Soil Moisture Products

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0119] Step 1, retrieve the active and passive soil moisture product data produced by the CCI (Climate Change Initiative) project of the European Space Agency (ESA), which includes the soil moisture in the Nagqu area of ​​the Qinghai-Tibet Plateau from 2012 to 2018;

[0120] Step 2 includes the following sub-steps:

[0121] Sub-step 1, determine the length of the fused soil product time series, which is taken as one year here, and set the time offset of the instrumental variable for the annual soil moisture product;

[0122] Sub-step 2, respectively calculate the soil moisture product that needs to be fused, that is, the correlation coefficient between the soil moisture product data of one year and the corresponding instrumental variable, which is the instrumental variable correlation coefficient;

[0123] Sub-step 3, calculate the product of the correlation coefficient of the two instrumental variables, and retain the time offset that makes the product greater than zero;

[01...

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Abstract

The invention discloses an improved double-variable fusion method of soil moisture products. In the method, two sets of soil moisture product data are input, time offsets of instrumental variables are set for the two sets of soil moisture products, and the optimal time offset is selected. Based on this, the optimal instrumental variable is obtained, and the weights of the two sets of soil moisture products are calculated through the optimal instrumental variable, and a fusion product is formed accordingly to obtain accurate soil moisture information.

Description

technical field [0001] The invention relates to the technical field of soil moisture measurement and calculation, in particular to an improved bivariate fusion method of soil moisture products. Background technique [0002] In the prior art, the soil moisture fusion method based on the triple calibration method is more common among methods for measuring and calculating soil moisture. The number of products required by this method is three, and at the same time, remote sensing products cannot be used alone for product fusion when estimating. [0003] In the basic processing process of the triple calibration method, the basic premise must first be met: there are three independent products that satisfy the assumption of the linear model, and they are respectively set to X, Y, and Z; [0004] They need to meet: [0005] X = α x P+B x +ε x [0006] Y=α y P+B y +ε y [0007] Z=α Z P+B Z +ε Z [0008] Then under the condition that each product is independent and each ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N33/24G06F17/15
CPCG01N33/246G06F17/15
Inventor 崔要奎杨泽坤姚照原蒋波耿晓状陈曦
Owner PEKING UNIV
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