Title :
Theoretical study on GNSS-R vegetation biomass
Author :
Wu, Xuerui ; Li, Ying ; Xu, Jin
Author_Institution :
Inst. of Environ. Inf., Dalian Maritime Univ., Dalian, China
Abstract :
GNSS-R(Global Navigation Satellite System-Reflectometry) remote sensing has been attracted much more attention during the past decade. As for land scenario, soil moisture and vegetation properties are the research priorities. This paper focuses on the initial study of GNSSR vegetation biomass using the already developed microwave scattering model Bi-mimics (Bistatic-Michigan Microwave Canopy Scattering). After some modifications, forest and crop specular simulations indicate that as for GNSS-R configuration, vegetation biomass monitoring is feasible, RL and RV polarization scattering properties are influenced by vegetation types, scattering angles and polarizations. It is a complex process and theoretical simulations provide some suggestions for GNSS-R vegetation remote sensing.
Keywords :
satellite navigation; vegetation; vegetation mapping; Bi-mimics; Bistatic-Michigan Microwave Canopy Scattering; GNSS-R configuration; GNSS-R vegetation biomass; GNSS-R vegetation remote sensing; Global Navigation Satellite System-Reflectometry; RL polarization scattering properties; RV polarization scattering properties; crop specular simulations; land scenario; microwave scattering model; scattering angles; soil moisture; vegetation properties; Agriculture; Biological system modeling; Biomass; Global Positioning System; Remote sensing; Scattering; Vegetation mapping; Bi-mimics; GNSS-R; biomass; vegetation;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6352719