Evaluation of the Land GNSS-Reflected DDM Coherence on Soil Moisture Estimation from CYGNSS Data

With 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 coher...

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Main Authors: Zhounan Dong, Shuanggen Jin
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/13/4/570
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author Zhounan Dong
Shuanggen Jin
author_facet Zhounan Dong
Shuanggen Jin
author_sort Zhounan Dong
collection DOAJ
description With 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<sup>3</sup>/cm<sup>3</sup>.
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spelling doaj.art-12067e8ea45b47d3bc637d73502d56df2023-12-03T12:36:23ZengMDPI AGRemote Sensing2072-42922021-02-0113457010.3390/rs13040570Evaluation of the Land GNSS-Reflected DDM Coherence on Soil Moisture Estimation from CYGNSS DataZhounan Dong0Shuanggen Jin1Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030, ChinaShanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030, ChinaWith 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<sup>3</sup>/cm<sup>3</sup>.https://www.mdpi.com/2072-4292/13/4/570GNSS reflectometry (GNSS-R)cyclone global navigation satellite system mission (CYGNSS)coherent scatteringsoil moisture
spellingShingle Zhounan Dong
Shuanggen Jin
Evaluation of the Land GNSS-Reflected DDM Coherence on Soil Moisture Estimation from CYGNSS Data
Remote Sensing
GNSS reflectometry (GNSS-R)
cyclone global navigation satellite system mission (CYGNSS)
coherent scattering
soil moisture
title Evaluation of the Land GNSS-Reflected DDM Coherence on Soil Moisture Estimation from CYGNSS Data
title_full Evaluation of the Land GNSS-Reflected DDM Coherence on Soil Moisture Estimation from CYGNSS Data
title_fullStr Evaluation of the Land GNSS-Reflected DDM Coherence on Soil Moisture Estimation from CYGNSS Data
title_full_unstemmed Evaluation of the Land GNSS-Reflected DDM Coherence on Soil Moisture Estimation from CYGNSS Data
title_short Evaluation of the Land GNSS-Reflected DDM Coherence on Soil Moisture Estimation from CYGNSS Data
title_sort evaluation of the land gnss reflected ddm coherence on soil moisture estimation from cygnss data
topic GNSS reflectometry (GNSS-R)
cyclone global navigation satellite system mission (CYGNSS)
coherent scattering
soil moisture
url https://www.mdpi.com/2072-4292/13/4/570
work_keys_str_mv AT zhounandong evaluationofthelandgnssreflectedddmcoherenceonsoilmoistureestimationfromcygnssdata
AT shuanggenjin evaluationofthelandgnssreflectedddmcoherenceonsoilmoistureestimationfromcygnssdata