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Evaluation of the Land GNSS-Reflected DDM Coherence on Soil Moisture Estimation from CYGNSS Data
Dong, Zhounan1,2; Jin, Shuanggen1
2021-02-01
Source PublicationREMOTE SENSING
Volume13Issue:4Pages:17
AbstractWith the development of spaceborne global navigation satellite system-reflectometry (GNSS-R), it can be used for terrestrial applications as a promising remote sensing tool, such as soil moisture (SM) retrieval. The reflected L-band GNSS signal from the land surface can simultaneously generate coherent and incoherent scattering, depending on surface roughness. However, the contribution of the incoherent component was directly ignored in previous GNSS-R land soil moisture content retrieval due to the hypothesis of its relatively small proportion. In this paper, a detection method is proposed to distinguish the coherence of land GNSS-R delay-Doppler map (DDM) from the cyclone global navigation satellite system (CYGNSS) mission in terms of DDM power-spreading features, which are characterized by different classification estimators. The results show that the trailing edge slope of normalized integrated time-delay waveform presents a better performance to recognize coherent and incoherent dominated observations, indicating that 89.6% of CYGNSS land observations are dominated by the coherent component. Furthermore, the impact of the land GNSS-Reflected DDM coherence on soil moisture retrieval is evaluated from 19-month CYGNSS data. The experiment results show that the influence of incoherent component and incoherent observations is marginal for CYGNSS soil moisture retrieval, and the RMSE of GNSS-R derived soil moisture reaches 0.04 cm(3)/cm(3).
KeywordGNSS reflectometry (GNSS-R) cyclone global navigation satellite system mission (CYGNSS) coherent scattering soil moisture
Funding OrganizationStrategic Priority Research Program Project of the Chinese Academy of Sciences ; Strategic Priority Research Program Project of the Chinese Academy of Sciences ; Shanghai Leading Talent Project ; Shanghai Leading Talent Project ; Strategic Priority Research Program Project of the Chinese Academy of Sciences ; Strategic Priority Research Program Project of the Chinese Academy of Sciences ; Shanghai Leading Talent Project ; Shanghai Leading Talent Project ; Strategic Priority Research Program Project of the Chinese Academy of Sciences ; Strategic Priority Research Program Project of the Chinese Academy of Sciences ; Shanghai Leading Talent Project ; Shanghai Leading Talent Project ; Strategic Priority Research Program Project of the Chinese Academy of Sciences ; Strategic Priority Research Program Project of the Chinese Academy of Sciences ; Shanghai Leading Talent Project ; Shanghai Leading Talent Project
DOI10.3390/rs13040570
Language英语
Funding ProjectStrategic Priority Research Program Project of the Chinese Academy of Sciences[XDA23040100] ; Shanghai Leading Talent Project[E056061]
Funding OrganizationStrategic Priority Research Program Project of the Chinese Academy of Sciences ; Strategic Priority Research Program Project of the Chinese Academy of Sciences ; Shanghai Leading Talent Project ; Shanghai Leading Talent Project ; Strategic Priority Research Program Project of the Chinese Academy of Sciences ; Strategic Priority Research Program Project of the Chinese Academy of Sciences ; Shanghai Leading Talent Project ; Shanghai Leading Talent Project ; Strategic Priority Research Program Project of the Chinese Academy of Sciences ; Strategic Priority Research Program Project of the Chinese Academy of Sciences ; Shanghai Leading Talent Project ; Shanghai Leading Talent Project ; Strategic Priority Research Program Project of the Chinese Academy of Sciences ; Strategic Priority Research Program Project of the Chinese Academy of Sciences ; Shanghai Leading Talent Project ; Shanghai Leading Talent Project
WOS Research AreaEnvironmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectEnvironmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000624412000001
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/79129
Collection中国科学院国家天文台
Corresponding AuthorJin, Shuanggen
Affiliation1.Chinese Acad Sci, Shanghai Astron Observ, Shanghai 200030, Peoples R China
2.Univ Chinese Acad Sci, Sch Astron & Space Sci, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Dong, Zhounan,Jin, Shuanggen. Evaluation of the Land GNSS-Reflected DDM Coherence on Soil Moisture Estimation from CYGNSS Data[J]. REMOTE SENSING,2021,13(4):17.
APA Dong, Zhounan,&Jin, Shuanggen.(2021).Evaluation of the Land GNSS-Reflected DDM Coherence on Soil Moisture Estimation from CYGNSS Data.REMOTE SENSING,13(4),17.
MLA Dong, Zhounan,et al."Evaluation of the Land GNSS-Reflected DDM Coherence on Soil Moisture Estimation from CYGNSS Data".REMOTE SENSING 13.4(2021):17.
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