A Calculation Method of Canopy Reflectance of Broad-leaved Vegetation

Abstract

The invention discloses a method and model for calculating canopy reflectivity of broad-leaved vegetation. The method comprises the following steps: S1: inputting parameters, identifying the input parameters, and classifying the input parameters into leaf parameters, canopy parameters and soil parameters; S2: calculating reflectivity and transmissivity of each single leaf according to the leaf parameters; S3: calculating an extinction coefficient and a scattering coefficient of canopies according to the canopy parameters and the leaf parameters in the step S2; S4: calculating related reflection factor and reflectivity of the canopies according to the obtained canopy extinction and scattering parameters; S5: calculating the canopy reflectivity according to the related reflection factor and reflectivity of the canopies. According to the method and the model, a PROSPECT model and an SAIL model are coupled, and a leaf reflectivity and transmissivity input process in a vegetation canopy reflectivity simulation process is canceled under the condition of making full use of available parameters; a parameter acquisition problem in a vegetation canopy spectral information simulation process is effectively simplified, an algorithm is optimized, a calculating process is accelerated, and meanwhile, the coupled model facilitates parametric inversion of the vegetation.

Description

technical field

[0001] The invention relates to the evaluation of the health status of vegetation in road areas of high-grade highways, in particular to a calculation method and model for the reflectivity of broad-leaved vegetation canopies. Background technique

[0002] Vegetation information inversion has always been the most promising research field of quantitative remote sensing, which provides a favorable basis for the development of vegetation ecological environment monitoring and evaluation research. Scholars at home and abroad have proposed many vegetation parameter inversion models, which can be mainly divided into two categories: statistical models and physical models. Among them, the physical model is favored for its excellent wide applicability and stability. The physical inversion model of vegetation information has a fairly strong physical basis and does not depend on the specific types of vegetation and changes in the background environment. However, the accu...

Examples

Embodiment Construction

[0166] The present invention will be further described below in conjunction with the accompanying drawings.

[0167] The present invention adopts the improved SAILH canopy model based on the hot spot effect, firstly classifies the given parameters, and divides them into two parts: leaf parameters and canopy parameters, and then uses the physical and chemical parameters of the leaves to calculate the basic absorption of the leaves, and then The reflectance and transmittance of a single-layer flat plate are derived from the calculation of the transmittance under the action of no interface absorption, and finally the spectral information of the leaves under the given structural parameters is derived by using the layering theory; at the same time, for the canopy parameters, the given leaf inclination angle is first used The distribution model parameters are used to calculate the leaf type distribution elements, and then combined with the calculated geometric elements to calculate t...

technical field

[0001] The invention relates to the evaluation of the health status of vegetation in road areas of high-grade highways, in particular to a calculation method and model for the reflectivity of broad-leaved vegetation canopies. Background technique

[0002] Vegetation information inversion has always been the most promising research field of quantitative remote sensing, which provides a favorable basis for the development of vegetation ecological environment monitoring and evaluation research. Scholars at home and abroad have proposed many vegetation parameter inversion models, which can be mainly divided into two categories: statistical models and physical models. Among them, the physical model is favored for its excellent wide applicability and stability. The physical inversion model of vegetation information has a fairly strong physical basis and does not depend on the specific types of vegetation and changes in the background environment. However, the accu...

Examples

Embodiment Construction

[0166] The present invention will be further described below in conjunction with the accompanying drawings.

[0167] The present invention adopts the improved SAILH canopy model based on the hot spot effect, firstly classifies the given parameters, and divides them into two parts: leaf parameters and canopy parameters, and then uses the physical and chemical parameters of the leaves to calculate the basic absorption of the leaves, and then The reflectance and transmittance of a single-layer flat plate are derived from the calculation of the transmittance under the action of no interface absorption, and finally the spectral information of the leaves under the given structural parameters is derived by using the layering theory; at the same time, for the canopy parameters, the given leaf inclination angle is first used The distribution model parameters are used to calculate the leaf type distribution elements, and then combined with the calculated geometric elements to calculate t...

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