DocumentCode
2222652
Title
GNSS-R reflected signals polarization characteristics: Theoretical study on vegetation remote sensing
Author
Wu, Xuerui ; Li, Ying
Author_Institution
Inst. of Environ. Inf., Dalian Maritime Univ., Dalian, China
fYear
2012
fDate
22-27 July 2012
Firstpage
7516
Lastpage
7518
Abstract
GNSS-R remote sensing has been attracted much attention during the past few years due to its unique advantages. Meanwhile, its receivers and signal processors have been improved. However, some ambiguities still exit. Receiver´s elevation angles and antenna polarizations are the important effects for geophysical parameters monitoring and retrievals. This paper uses the microwave scattering model to do some research on GNSS-R vegetation polarizations. The already developed bistatic scattering model Bi-mimics is used as the study tool. After some modifications, any polarization combination is able to be calculated. As for GNSS-R, RHCP signal is transmitted and linear or circular polarization signals are received. Aspen is used as model input. Theoretical analysis indicates that antenna polarization should be paid more attention as for different applications. Further study need to be done in the future.
Keywords
backscatter; electromagnetic wave polarisation; microwave antennas; microwave receivers; microwave reflectometry; remote sensing; satellite navigation; vegetation; Aspen; Bi-mimics; GNSS-R reflected signal polarization characteristics; GNSS-R remote sensing; RHCP signal transmission; antenna polarization; bistatic scattering model; circular polarization signal; geophysical parameter monitoring; geophysical parameter retrieval; linear polarization signal; microwave scattering model; polarization combination; receiver elevation angle; signal processors; vegetation remote sensing; Global Positioning System; Polarization; Receivers; Remote sensing; Sea measurements; Vegetation mapping; Bi-mimics; GNSS-R; polarization; vegetation;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6351893
Filename
6351893
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