中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Evaluation and Validation of CryoSat-2-Derived Water Levels Using In Situ Lake Data from China

文献类型:期刊论文

作者Liu, Zhaofei; Yao, Zhijun; Wang, Rui
刊名REMOTE SENSING
出版日期2019-04-02
卷号11期号:8页码:16
关键词altimetry water level CryoSat-2 outlier lake in situ gauge
ISSN号2072-4292
DOI10.3390/rs11080899
通讯作者Liu, Zhaofei(zfliu@igsnrr.ac.cn)
英文摘要CryoSat-2 altimetry has become a valuable tool for monitoring the water level of lakes. In this study, a concentrated probability density function (PDF) method was proposed for preprocessing CryoSat-2 Geophysical Data Record (GDR) data. CryoSat-2 altimetry water levels were preprocessed and evaluated by in situ gauge data from 12 lakes in China. Results showed that the accuracy of the raw GDR data was limited due to outliers in most of the along-track segments. The outliers were generally significantly lower than the in situ values by several meters, and some by more than 30 m. Outlier detection, therefore, improves upon the accuracy of CryoSat-2 measurements. The concentrated PDF method was able to greatly improve the accuracy of CryoSat-2 measurements. The preprocessed CryoSat-2 measurements were able to observe lake levels with a high accuracy at nine of the twelve lakes, with an absolute mean difference of 0.09 m, an absolute standard deviation difference of 0.04 m, a mean root mean square error of 0.27 m, and a mean correlation coefficient of 0.84. Overall, the accuracy of CryoSat-2-derived lake levels was validated in China. In addition, the accuracy of Database for Hydrological Time Series of Inland Waters (DAHITI) and HYDROWEB water level products was also validated by in situ gauge data.
WOS关键词RADAR ALTIMETER ; TIBETAN PLATEAU ; ENVISAT ; OUTLIERS ; COASTAL ; OCEAN ; MODE
资助项目National Natural Science Foundation of China[41571027] ; National Natural Science Foundation of China[41561144012] ; National Natural Science Foundation of China[41661144030]
WOS研究方向Remote Sensing
语种英语
WOS记录号WOS:000467646800009
出版者MDPI
资助机构National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/59682]  
专题中国科学院地理科学与资源研究所
通讯作者Liu, Zhaofei
作者单位Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Liu, Zhaofei,Yao, Zhijun,Wang, Rui. Evaluation and Validation of CryoSat-2-Derived Water Levels Using In Situ Lake Data from China[J]. REMOTE SENSING,2019,11(8):16.
APA Liu, Zhaofei,Yao, Zhijun,&Wang, Rui.(2019).Evaluation and Validation of CryoSat-2-Derived Water Levels Using In Situ Lake Data from China.REMOTE SENSING,11(8),16.
MLA Liu, Zhaofei,et al."Evaluation and Validation of CryoSat-2-Derived Water Levels Using In Situ Lake Data from China".REMOTE SENSING 11.8(2019):16.

入库方式: OAI收割

来源:地理科学与资源研究所

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