| Issue |
E3S Web Conf.
Volume 75, 2019
Regional Problems of Earth Remote Sensing (RPERS 2018)
|
|
|---|---|---|
| Article Number | 01011 | |
| Number of page(s) | 6 | |
| Section | Methods and Algorithms for Image Processing | |
| DOI | https://doi.org/10.1051/e3sconf/20197501011 | |
| Published online | 14 January 2019 | |
Forest dielectric characteristics for navigation satellites signals in L 1 range
1
Federal Research Center KSC SB RAS 50, Akademgorodok av., 660036, Krasnoyarsk, Russia
2
Reshetnev Siberian State University of Science and Technology, Krasnoyarsky Rabochy Av., 660037, Krasnoyarsk, Russia
3
Siberian Federal University, 79 Svobodny pr., 660041 Krasnoyarsk, Russia
* Corresponding author: sorav@iph.krasn.ru
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.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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