A first comprehensive evaluation of China's GNSS-R airborne campaign: part II—river remote sensing

作     者：Weihua Bai Junming Xia Wei Wan Limin Zhao Yueqiang Sun Xiangguang Meng Congliang Liu Hua Chen Qifei Du Dongwei Wang Danyang Zhao Xianyi Wang Cheng Cheng 

作者机构：National Space Science Center Chinese Academy of Sciences State Key Laboratory of Hydroscience and EngineeringTsinghua University Department of Hydraulic Engineering Tsinghua University Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences The Center for National Spaceborne Demonstration State Intellectual Property Office of the Peoples’ Republic of China 

出 版 物：《Science Bulletin》 (科学通报（英文版）)

年 卷 期：2015年第60卷第24期

页      面：1527-1534页

核心收录：

学科分类：08[工学] 0804[工学-仪器科学与技术] 

基　　金：supported by the National Youth Natural Science Foundations of China(41405040 and 41405039) the Scientific Research and Equipment Development Project of Chinese Academy of Sciences(YZ201129) the 12th Five-Year Plan of Civil Aerospace Technology Advanced Research Projects(Y1K0030044) 

主　　题：中国科学院院士 机载遥感 综合评价 远程 全球导航卫星系统 技术检测 地球物理参数 流速测量 

摘      要：The Global Navigation Satellite System Reflectometry(GNSS-R) has been proven to be a powerful technique for retrieving geophysical parameters of ocean and land. Airborne GNSS-R is an important experimental platform, because it is not only needed as validation for spaceborne application, but also possesses the advantages to be capable of remote sensing of small and medium scale targets, such as rivers and lakes. This paper presents an overview of China s airborne GNSS-R campaign conducted on May 30, 2014, in Henan. The campaign has two objectives, i.e.:(1) to examine the capability of a GNSS-R payload developed by National Space Science Center,Chinese Academy of Sciences(NSSC, CAS) for airborneobservations and(2) to study the algorithms for soil moisture and river remote sensing, including altimetry and flow velocity measurement. A previous paper has presented results of soil moisture retrieval as part I, and in this paper,initial results of the Yellow River remote sensing are presented as part II. This paper presents the river altimetry results and explores a new potential application of GNSS-R technology, which is used to detect the flow velocity of the river. The river surface height results observed by code delay altimetry method were consistent with the height results of GPS dual-frequency differential positioning altimetry. The GNSS-R altimetry results showed that decimeter level heights were achieved in 1-min sliding average. Comparing with in situ measurements, the GNSSR flow velocity result was reasonable; the error was about0.027 m/s, which indicated the validity and feasibility of using GNSS-R technique to detect river flow velocity.