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Four-component optical physical model based inversion method of leaf area index

A technology of leaf area index and physical model, which is applied in the direction of using optical devices, measuring devices, instruments, etc., can solve the problems of inaccurate simulation results of physical models, and achieve the effect of improving inversion accuracy, facilitating simulation, and having fewer input parameters.

Active Publication Date: 2012-10-03
HEILONGJIANG INST OF TECH
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Problems solved by technology

[0003] The purpose of the present invention is to solve the problem that the existing two-component physical model fails to accurately describe the real composition of vegetation coverage pixels in remote sensing images, which leads to inaccurate simulation results of the physical model, and provides a leaf area index based on the four-component optical physical model inversion method

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  • Four-component optical physical model based inversion method of leaf area index
  • Four-component optical physical model based inversion method of leaf area index
  • Four-component optical physical model based inversion method of leaf area index

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specific Embodiment approach 1

[0019] Specific implementation mode 1: Combination figure 1 To explain this embodiment, the leaf area index inversion method based on the four-component optical physical model described in this embodiment includes the following specific steps:

[0020] The four-component optical physical model is:

[0021] R 4 = R ∞ , t K ∫ - 1 0 ( e KLh - e KLh e αLh ) Ldh + R ∞ , υ K ∫ - 1 0 e KLh e αLh Ldh

[0022] + R s e - αL e - KL + R sz ( e - KL - e - KL e - αL ) - - - ( 2 )

[0023] Among them, α and K are extinction coefficients:

[0024] K=(2 / π)L[(β v -π / 2)cos θ f +sinβ v tan θ v sin θ f ]

[0025] α=(2 / π)L[(β s -π / 2)cos θ f +sin β s tan θ v sin θ f ]

[0026] R 4 The vegetation canopy reflectance simulated by the four-component optical physical model, R ∞,υ Is the reflectance of vegetation light...

specific Embodiment approach 2

[0038] Specific embodiment 2: This embodiment further defines the leaf area index inversion method based on the four-component optical physical model described in the first embodiment. The four-component optical physical model is obtained by improving the existing two-component physical model. The existing two-component physical model is:

[0039] R 2 =R t (1-e -αL )+R s e -αL (1)

[0040] Where R 2 Is the vegetation canopy reflectivity simulated by the two-component physical model, R t Is the vegetation canopy reflectance when the vegetation canopy closure is close to 1, and the vegetation canopy thickness is infinitely deep, R s It is the bidirectional reflectance of the soil background.

specific Embodiment approach 3

[0041] Specific embodiment 3: This embodiment further defines the leaf area index inversion method based on the four-component optical physical model described in Embodiment 1. The root mean square error described in step 3 adopts the formula:

[0042] RMSE = 1 n b X j = 1 n b ( ρ j - ρ ′ j ) - - - ( 3 ) ,

[0043] Obtained by calculation, where: ρ′ j Represents the four-component optical physical model to simulate vegetation canopy reflectivity, ρ j Indicates the reflectivity of remote sensing image, n b Is the number of bands.

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Abstract

The invention relates to a four-component optical physical model based inversion method of leaf area indexes, relating to the inversion method of the leaf area indexes and aiming at solving the problem that a simulated result of a physical model is inaccurate because the traditional two-component physical model can not accurately describe the real composition of a vegetation coverage pixel of a remote sensing image. The inversion method particularly comprises the following steps of: 1, determining the input parameters of the four-component optical physical model through the imaging conditions of the remote sensing image and the characteristics of a forest type; 2, setting an L value to be gradually increased according to 0.1 step length, and establishing a lookup table according to the L value and R4 corresponding to the L value so as to establish the one-to-one corresponding relationship of the leaf area indexes and the reflectivity data of a vegetation canopy; 3, traveling the lookup table by adopting a mean square root error optimization technology to ensure that the leaf area index corresponding to minimum mean square root error is an optimal leaf area index, and taking the optimal leaf area index as an inversion result, wherein the four-component optical physical model is shown as a formula. The invention is suitable for accurately describing the vegetation coverage of the remote sensing image.

Description

Technical field [0001] The invention relates to a leaf area index inversion method. Background technique [0002] At present, the commonly used leaf area index inversion methods are mainly the empirical model inversion method and the physical model inversion method. The model based on the empirical model inversion method is too simple, the statistical relationship between the vegetation index and the leaf area index often lacks universality, and the inversion error is large. The physical model inversion method is based on the leaf area index inversion method based on the vegetation, soil spectral characteristics and non-isotropic radiation transmission model. The model is closer to reality, but the model requires more parameters and complex calculations, which has become popular The main obstacle to the application of physical model inversion, and the traditional two-component physical model fails to accurately describe the true composition of the vegetation coverage pixels in r...

Claims

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Application Information

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IPC IPC(8): G01B11/28
Inventor 王强刘丹丹张玉娟庞勇李增元陈尔学谭炳香
Owner HEILONGJIANG INST OF TECH
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