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...

AI Technical Summary

Problems solved by technology

[0005] The technical problem solved by the present invention is to propose a broad-leaved vegetation canopy reflectance in view of the limitation of the physical model in the actual application process, and in order to solve the parameter acquisition and inversion accuracy problems of the vegetation physical model in the application process. The calculation method and model of the canopy model, the single-leaf reflectance and transmittance obtained by the single-leaf model using the obtained parameters are used as the input parameters of the canopy model, and other input parameters of the canopy model are used to simulate the vegetation canopy reflectance. The coupled vegetation The canopy model can omit the acquisition process of some complex parameters, and the coupled model is an integrated model, which is more conducive to the inversion of vegetation parameters

Images