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Biomass extraction method based on different-speed growth relation combined with laser radar equation

A laser radar and allometric growth technology, which is applied in measurement devices, re-radiation of electromagnetic waves, radio wave measurement systems, etc., can solve the problems of low accuracy and poor applicability, and achieve the effect of improving inversion accuracy.

Active Publication Date: 2020-11-24
HEILONGJIANG INST OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present invention aims to solve the problems of low accuracy and poor applicability of the existing remote sensing data used for forest biomass inversion, and provides a biomass extraction method based on the allometric growth relationship combined with the laser radar equation

Method used

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  • Biomass extraction method based on different-speed growth relation combined with laser radar equation
  • Biomass extraction method based on different-speed growth relation combined with laser radar equation
  • Biomass extraction method based on different-speed growth relation combined with laser radar equation

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specific Embodiment approach 1

[0024] Specific implementation mode one: combine figure 1 Specifically, the present embodiment is a biomass extraction method based on the allometric growth relationship and the lidar equation, which is carried out in the following steps:

[0025] 1. Establish a forest biomass inversion model based on the allometric growth relationship combined with the lidar equation:

[0026]

[0027] Biomass is forest biomass; H T is the height of the tree, in m; H c is the crown height, the unit is m; ρ is the density of wood, the unit is g / cm 3 ; γ is the Nelson parameter; G is the spatial orientation distribution function of vegetation components; U L (H) is the volume density distribution function of the leaf area of ​​a single tree, and the unit is m 2 / m 3 ; At the height H, the vegetation canopy radius is r(H), and the unit is m; α is obtained from the regression of the canopy volume measured in the plot and the diameter at breast height; β is the power function relationship ...

specific Embodiment approach 2

[0043] Specific embodiment two: the difference between this embodiment and specific embodiment one is: the forest biomass inversion model of setting up the allometric growth relationship joint laser radar equation in step 1 is specifically carried out according to the following steps:

[0044] The formula (3) is obtained by combining the biomass formula (1) with the relationship formula (2) between the diameter at breast height and the crown volume:

[0045]

[0046] Biomass is forest biomass; H T is the height of the tree, in m; H c is the crown height, the unit is m; ρ is the density of wood, the unit is g / cm 3 ;F app-single-tree (H) is the density distribution function of vegetation canopy components at height H; is the volume of the crown, in m 3 ; α is obtained from the fitting regression of crown volume and diameter at breast height measured in the plot; β is the power function relationship between forest biomass, diameter at breast height and tree height;

[0047...

specific Embodiment approach 3

[0066] Specific embodiment three: the difference between this embodiment and specific embodiment one or two is: described biomass formula (1):

[0067]

[0068] Among them, Biomass is forest biomass; H T is the tree height, the unit is m; DBH is the diameter at breast height, the unit is m; ρ is the density of wood, the unit is g / cm 3 ; β is the power function relationship between forest biomass, DBH and tree height. Others are the same as in the first or second embodiment.

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Abstract

The invention relates to a biomass extraction method, and especially relates to a biomass extraction method based on a different-speed growth relation combined with a laser radar equation. The invention aims to solve the problems of low precision and weak universality when the existing remote sensing data is used for forest biomass inversion. The method comprises the following steps: 1, establishing a forest biomass inversion model of a different-speed growth relation combined laser radar equation; 2, preprocessing the ground-based laser radar point cloud data to obtain normalized single-treelaser radar point cloud data, extracting crown cross sectional areas at different heights by utilizing a two-dimensional convex hull algorithm in computational geometry, and calculating according to aformula to obtain a laser radar biomass index LBI; and 3, substituting the laser radar biomass index LBI into a formula, determining coefficients a, b and c, obtaining a biomass inversion model constructed by the laser radar biomass index, and calculating the biomass.

Description

technical field [0001] The invention relates to a biomass extraction method. Background technique [0002] Accurate estimation of forest biomass is the basis for evaluating the contribution of forest carbon cycle and an important parameter for forest ecological function evaluation. However, the structure of the forest itself is complex, and there is spatial heterogeneity in both vertical and horizontal directions. At the same time, traditional manual measurement methods are destructive and time-consuming. At present, remote sensing data are used in forest biomass inversion methods, and empirical models such as parameter training regression and machine learning are mostly used. The model is greatly affected by training data and the environment, and the physical meaning is not clear. There is no real mechanism to study the relationship between remote sensing signals and biological The relationship between the factors that significantly affect forest biomass, which in turn aff...

Claims

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Application Information

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IPC IPC(8): G06F17/11G06F17/17G06F17/18G01S17/88
CPCG01S17/88G06F17/11G06F17/17G06F17/18
Inventor 王强倪春迪白阳席志龙田泽宇王艺希
Owner HEILONGJIANG INST OF TECH