Calibration and Validation of CYGNSS Reflectivity through Wetlands' and Deserts' Dielectric Permittivity
文献类型：期刊论文
| 作者 | Molina, Inigo1; Calabia, Andres1,2; Jin, Shuanggen2,3,4; Edokossi, Komi2; Wu, Xuerui3 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2022-07-01 |
| 卷号 | 14期号:14页码:22 |
| 关键词 | Global Navigation Satellite Systems Reflectometry (GNSS-R) CYGNSS reflectivity calibration Fresnel reflection coefficients |
| DOI | 10.3390/rs14143262 |
| 英文摘要 | The reflection of Global Navigation Satellite Systems (GNSS) signals, namely GNSS-Reflectometry (GNSS-R), has recently proven to be able to monitor land surface properties in the microwave spectrum, at a global scale, and with very low revisiting time. Moreover, this new technique has numerous additional advantages, including low cost, low power consumption, lightweight and small payloads, and near real-time massive data availability, as compared to conventional monostatic microwave remote sensing. However, the GNSS-R surface reflectivity values estimated through the bistatic radar equation, and the Fresnel coefficients have shown a lack of coincidence with real surface reflectivity data, mostly due to calibration issues. Previous studies have attempted to avoid this matter with direct regression methods between uncalibrated GNSS-R reflectivity data and external soil moisture content (SMC) products. However, calibration of GNSS-R reflectivity used in traditional inversion models is still a challenge, such as those to estimate SMC, freeze/thaw, or biomass. In this paper, a successful procedure for GNSS-R reflectivity calibration is established using data from the CYGNSS (Cyclone GNSS) constellation. The scale and bias parameters are estimated from the theoretical dielectric properties of water and dry sand, which are well-known and empirically validated values. We employ four calibration areas that provide maximum range limits of reflectivity, such as deserts and wetlands. The CYGNSS scale factor and the bias parameter resulted in a = 3.77 and b = 0.018, respectively. The derived scale and bias parameters are applied to the CYGNSS dataset, and the retrieved SMC values through the Fresnel reflection coefficients are in excellent agreement with the Soil Moisture Active Passive (SMAP) SMC product. Then, the SMAP SMC is used as a reference true value, and provides a standard linear regression with an R-square coefficient of 0.803, a root mean square error (RMSE) of 0.084, and a Pearson's correlation coefficient of 0.896. |
| WOS关键词 | SOIL-MOISTURE ; GNSS-REFLECTOMETRY ; BISTATIC RADAR ; SIGNALS ; WATER ; LAND ; CONSTANT ; DRY |
| 资助项目 | R&D+I Program of the Universidad Politecnica de Madrid (Programa Propio UPM2019) ; Talent Start-Up Funding project of NUIST[1411041901010] ; Jiangsu Natural Resources Development Special Project[JSZRHYKJ202002] ; Strategic Priority Research Program Project of the Chinese Academy of Sciences[XDA23040100] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:000833617200001 |
| 资助机构 | R&D+I Program of the Universidad Politecnica de Madrid (Programa Propio UPM2019) ; R&D+I Program of the Universidad Politecnica de Madrid (Programa Propio UPM2019) ; Talent Start-Up Funding project of NUIST ; Talent Start-Up Funding project of NUIST ; Jiangsu Natural Resources Development Special Project ; Jiangsu Natural Resources Development Special Project ; Strategic Priority Research Program Project of the Chinese Academy of Sciences ; Strategic Priority Research Program Project of the Chinese Academy of Sciences ; R&D+I Program of the Universidad Politecnica de Madrid (Programa Propio UPM2019) ; R&D+I Program of the Universidad Politecnica de Madrid (Programa Propio UPM2019) ; Talent Start-Up Funding project of NUIST ; Talent Start-Up Funding project of NUIST ; Jiangsu Natural Resources Development Special Project ; Jiangsu Natural Resources Development Special Project ; Strategic Priority Research Program Project of the Chinese Academy of Sciences ; Strategic Priority Research Program Project of the Chinese Academy of Sciences ; R&D+I Program of the Universidad Politecnica de Madrid (Programa Propio UPM2019) ; R&D+I Program of the Universidad Politecnica de Madrid (Programa Propio UPM2019) ; Talent Start-Up Funding project of NUIST ; Talent Start-Up Funding project of NUIST ; Jiangsu Natural Resources Development Special Project ; Jiangsu Natural Resources Development Special Project ; Strategic Priority Research Program Project of the Chinese Academy of Sciences ; Strategic Priority Research Program Project of the Chinese Academy of Sciences ; R&D+I Program of the Universidad Politecnica de Madrid (Programa Propio UPM2019) ; R&D+I Program of the Universidad Politecnica de Madrid (Programa Propio UPM2019) ; Talent Start-Up Funding project of NUIST ; Talent Start-Up Funding project of NUIST ; Jiangsu Natural Resources Development Special Project ; Jiangsu Natural Resources Development Special Project ; Strategic Priority Research Program Project of the Chinese Academy of Sciences ; Strategic Priority Research Program Project of the Chinese Academy of Sciences |
| 源URL | [http://ir.bao.ac.cn/handle/114a11/87815]  |
| 专题 | 中国科学院国家天文台 |
| 通讯作者 | Calabia, Andres |
| 作者单位 | 1.Univ Politecn Madrid, Sch Land Surveying Geodesy & Mapping Engn, Madrid 28031, Spain 2.Nanjing Univ Informat Sci & Technol, Sch Remote Sensing & Geomat Engn, Nanjing 210044, Peoples R China 3.Chinese Acad Sci, Shanghai Astron Observ, Shanghai 200030, Peoples R China 4.Henan Polytech Univ, Sch Surveying & Land Informat Engn, Jiaozuo 454000, Henan, Peoples R China |
| 推荐引用方式 GB/T 7714 | Molina, Inigo,Calabia, Andres,Jin, Shuanggen,et al. Calibration and Validation of CYGNSS Reflectivity through Wetlands' and Deserts' Dielectric Permittivity[J]. REMOTE SENSING,2022,14(14):22. |
| APA | Molina, Inigo,Calabia, Andres,Jin, Shuanggen,Edokossi, Komi,&Wu, Xuerui.(2022).Calibration and Validation of CYGNSS Reflectivity through Wetlands' and Deserts' Dielectric Permittivity.REMOTE SENSING,14(14),22. |
| MLA | Molina, Inigo,et al."Calibration and Validation of CYGNSS Reflectivity through Wetlands' and Deserts' Dielectric Permittivity".REMOTE SENSING 14.14(2022):22. |
入库方式： OAI收割
来源：国家天文台
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