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Forest aboveground biomass inversion method and system fused with spectrum and texture features

A technology of texture features and spectral features, applied in measuring devices, electrical digital data processing, special data processing applications, etc., can solve problems such as inability to consider internal combination mechanisms

Active Publication Date: 2016-05-25
WUHAN UNIV
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AI Technical Summary

Problems solved by technology

However, purely using empirical statistical regression methods combined with spectral and texture features cannot consider the internal combination mechanism of the two.

Method used

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  • Forest aboveground biomass inversion method and system fused with spectrum and texture features
  • Forest aboveground biomass inversion method and system fused with spectrum and texture features
  • Forest aboveground biomass inversion method and system fused with spectrum and texture features

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Embodiment Construction

[0091] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0092] Different from previous inversion methods, the present invention constructs the spectral feature inversion model of AGB through the statistical regression analysis of the spectral feature vegetation index and AGB respectively; , to establish the AGB texture feature inversion model; finally, by determining the respective weights of the spectral and texture features in the joint model, the AGB spectral texture feature joint inversion model is constructed.

[0093] The embodiment of the present invention is based on the Gaofen-1 satellite data to estimate the aboveground biomass of Populus euphratica forest in Ejina Research Area, Inner Mongolia. figure 1 , the concrete steps of the embodiment of the present invention are as follows:

[0094] Step a: Calculation of the aboveground biomass of the sample plot in the study area:

[0095] Based on the...

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Abstract

The invention provides a forest aboveground biomass inversion method fused with spectrum and texture features and a forest aboveground biomass inversion system fused with the spectrum and texture features. The method comprises the following steps of calculating an aboveground biomass of a research region sample plot so as to obtain a sample plot biomass observation value; performing geometric correction and radiometric correction on high-resolution remote-sensing image panchromatic data and multispectral data; respectively performing statistical regression on the sample plot biomass observation value and a corresponding spectrum feature vegetation index, and selecting a spectrum feature inversion model; extracting various texture feature variables under different windows, respectively performing statistical regression on the sample plot biomass observation value and the corresponding texture feature variables, and selecting a texture feature inversion model; determining a weight through a sensitivity analysis of a spectrum key factor and a texture key factor, constructing a spectrum texture feature combination inversion model of the biomass, and realizing the forest aboveground biomass inversion. The method and the system provided by the invention have the advantages that the spectrum features and the texture features are fused, and the advantages of the spectrum features and the texture features for biomass inversion are fully exerted, so that the quantitative inversion precision of a forest aboveground biomass is effectively improved.

Description

technical field [0001] The invention relates to the field of aboveground biomass extraction in forests, in particular to a forest aboveground biomass (AGB) inversion technical solution that integrates remote sensing image spectrum and texture features. Background technique [0002] Aboveground biomass of forests plays an important role in indicating the carbon sequestration capacity and carbon storage of forest ecosystems. In the International Geosphere-Biosphere Research Program (IGBP), the carbon cycle is identified as one of the programs of Global Change and Terrestrial Ecosystems (GCTE). important research content. Therefore, accurate extraction of forest aboveground biomass is of great significance for the study of global change and terrestrial ecosystems. [0003] The traditional forest aboveground biomass monitoring method, which uses manual sampling and measurement as the main technical means, has the disadvantages of time-consuming and labor-intensive, many interfe...

Claims

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Application Information

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IPC IPC(8): G06F17/50G01N33/00
CPCG01N33/00G06F30/20
Inventor 邵振峰张邻晶彭浩
Owner WUHAN UNIV
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