文章基本信息

标题：Forest dielectric characteristics for navigation satellites signals in L 1 range
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作者：Аnatoly Sorokin ; Vladimir Podoprigora ; Evgenii Ponomarev 等
期刊名称：E3S Web of Conferences
印刷版ISSN：2267-1242
电子版ISSN：2267-1242
出版年度：2019
卷号：75
页码：1-6
DOI：10.1051/e3sconf/20197501011
出版社：EDP Sciences
摘要：A structural dielectric model of the forest is presented taking into account the wood Biomass distribution. The multi-scale structural formations of the individual trees and the stand as a whole as a hierarchical system of non-interacting components of the mixed dielectric are discussed. Layers of crowns and trunks are distinguished as anisotropic dielectric media with gradient boundaries. The possibility of using the orientation parameter of the order of branches in the crown layer to estimate the gradients of the effective permittivity of the inhomogeneous distribution and its spatial anisotropy is analyzed. A comparative analysis of the features of the effective dielectric permittivity of pine and birch forests is carried out. The possibilities of using a layered anisotropic dielectric forest model to describe the transformation of GPS and GLONASS signals in order to restore the biometric characteristics of the forest are considered.
其他摘要：A structural dielectric model of the forest is presented taking into account the wood Biomass distribution. The multi-scale structural formations of the individual trees and the stand as a whole as a hierarchical system of non-interacting components of the mixed dielectric are discussed. Layers of crowns and trunks are distinguished as anisotropic dielectric media with gradient boundaries. The possibility of using the orientation parameter of the order of branches in the crown layer to estimate the gradients of the effective permittivity of the inhomogeneous distribution and its spatial anisotropy is analyzed. A comparative analysis of the features of the effective dielectric permittivity of pine and birch forests is carried out. The possibilities of using a layered anisotropic dielectric forest model to describe the transformation of GPS and GLONASS signals in order to restore the biometric characteristics of the forest are considered.