The Study of Soil Moisture Retrieval Algorithm from GNSS-R

文献类型： 外文期刊

第一作者： Mao Kebiao

作者： Mao Kebiao;Zhang Mengyang;Wang Jianming;Mao Kebiao;Tang Huajun;Zhou Qingbo

作者机构：

关键词： Soil Moisture;GNSS-R;AIEM Model;SMEX02

期刊名称：2008 INTERNATIONAL WORKSHOP ON EDUCATION TECHNOLOGY AND TRAINING AND 2008 INTERNATIONAL WORKSHOP ON GEOSCIENCE AND REMOTE SENSING, VOL 1, PROCEEDINGS

ISSN：

年卷期： 2009 年

页码：

收录情况： SCI

摘要： The L1 band (1.58GHz) on board GPS satellite is very suitable for monitoring the change of soil moisture. The research for retrieval of soil moisture from GNSS-R is just beginning. This paper makes an analysis by using simulation data from AIEM model and experiment data from SMEX02. The analysis for simulation data from AIEM model shows that scattering signal of GPS is influenced much by angle and roughness, so the retrieval algorithm should consider the angle and roughness. The analysis of experiment data in SMEX02 indicates that the average correlation coefficient is above 0.85 between soil moisture and GNSS-R SNR for a single field site, so the soil moisture can be accurately retrieved by GNSS-R for single site, and the retrieval algorithm should be built for single site under considering incidence angle.

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