中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Application of backscattering models in active-passive microwave remote sensing of ocean salinity

文献类型:会议论文

作者Zhu, J.; Zhang, X.K.; Liu, H.; Cai, Y.J.
出版日期2014
会议名称Progress in Electromagnetics Research Symposium, PIERS 2014
会议日期August 25, 2014 - August 28, 2014
会议地点Guangzhou, China
页码890-893
英文摘要The program of new type combined active and passive L-band sensor will meet the science needs by providing global ocean salinity distribution. Before the reconstruction of ocean salinity by brightness temperature, surface roughness must be taken into account, which is the leading part of the error sources that influences the brightness temperature. So it is a crucial step to eliminate the excess brightness temperature engendered by roughness. The elimination can be implemented by sea surface backscattering coefficient, which is directly influenced by roughness. In this paper, the sea surface is regarded as a two dimensional isotropic random process and the influence of roughness for backscattering coefficient is discussed. This can be a fundamental way to get pairs of brightness temperature and backscattering coefficient and for better inversion of ocean salinity.
收录类别EI
会议主办者Development and Research Academy for Global Optical Neo-technology (DRAGON); et al.; JORCEP (Sino-Swedish Joint Research Center of Photonics); South China Normal University; South China Normal University, Centre for Opt. and Electromagn. Res., South China Academy of Advanced Optoelectronics; ZJU Institute for Opto-Electronic Technology Commercialization (IOTEC)
会议录Progress in Electromagnetics Research Symposium
会议录出版者Electromagnetics Academy
语种英语
ISSN号1559-9450
ISBN号9781934142288
源URL[http://ir.nssc.ac.cn/handle/122/4365]  
专题国家空间科学中心_微波遥感部
推荐引用方式
GB/T 7714
Zhu, J.,Zhang, X.K.,Liu, H.,et al. Application of backscattering models in active-passive microwave remote sensing of ocean salinity[C]. 见:Progress in Electromagnetics Research Symposium, PIERS 2014. Guangzhou, China. August 25, 2014 - August 28, 2014.

入库方式: OAI收割

来源:国家空间科学中心

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