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Evaluation and Validation of CryoSat-2-Derived Water Levels Using In Situ Lake Data from China
Liu, Zhaofei; Yao, Zhijun; Wang, Rui
2019-04-02
Source PublicationREMOTE SENSING
ISSN2072-4292
Volume11Issue:8Pages:16
Corresponding AuthorLiu, Zhaofei(zfliu@igsnrr.ac.cn)
AbstractCryoSat-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.
Keywordaltimetry water level CryoSat-2 outlier lake in situ gauge
DOI10.3390/rs11080899
WOS KeywordRADAR ALTIMETER ; TIBETAN PLATEAU ; ENVISAT ; OUTLIERS ; COASTAL ; OCEAN ; MODE
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41571027] ; National Natural Science Foundation of China[41561144012] ; National Natural Science Foundation of China[41661144030]
Funding OrganizationNational Natural Science Foundation of China
WOS Research AreaRemote Sensing
WOS SubjectRemote Sensing
WOS IDWOS:000467646800009
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/59683
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLiu, Zhaofei
AffiliationChinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
Recommended Citation
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.
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