| Issue |
E3S Web Conf.
Volume 75, 2019
Regional Problems of Earth Remote Sensing (RPERS 2018)
|
|
|---|---|---|
| Article Number | 01007 | |
| Number of page(s) | 4 | |
| Section | Methods and Algorithms for Image Processing | |
| DOI | https://doi.org/10.1051/e3sconf/20197501007 | |
| Published online | 14 January 2019 | |
Forest vegetation Interaction with L-band Satellite Signals
1
Siberian Federal University, 79 Svobodny av., 660041 Krasnoyarsk, Russia.
2
Federal Research Center, 50 Akademgorodok, 6660036 Krasnoyarsk, Russia
3
Siberian University of Science and Technology, 31 Krasnoyarskij Rabochij av., 660037 Krasnoyarsk, Russia
A method for calculating the electro-physical parameters of forest vegetation cover interacting with the signals of navigation satellites in the frequency bands 1.2-1.6 GHz is proposed. A technique for the experimental measurement of linear attenuation coefficient of satellite signals on test areas of canopies was developed, taking into account their calibration at the input. The proposed forest vegetation model describes the group of crowns as a system of quasi spherical "capsules", located chaotically in the air matrix. The scattering and penetration cross sections and the coefficient of linear attenuation of radio waves were calculated using the approximation of anomalous diffraction for crowns and the results of solving the diffraction problem for trunks. The effects of multiple scattering were taken into account.
© 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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.