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A Physics-Based Algorithm to Couple CYGNSS Surface Reflectivity and SMAP Brightness Temperature Estimates for Accurate Soil Moisture Retrieval

文献类型：期刊论文

作者Yang, Ting4,5; Wan, Wei3; Wang, Jundong5; Liu, Baojian3; Sun, Zhigang1,2,4,5
刊名IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
出版日期2022
卷号60页码:15
关键词Cyclone Global Navigation Satellite System (CYGNSS) soil moisture (SM) Soil Moisture Active Passive (SMAP) surface roughness vegetation
ISSN号0196-2892
DOI10.1109/TGRS.2022.3156959
通讯作者Wan, Wei(w.wan@pku.edu.cn) ; Sun, Zhigang(sun.zhigang@igsnrr.ac.cn)
英文摘要Remotely sensed soil moisture (SM) with high accuracy and high spatial-temporal resolution is crucial to meteorological, agricultural, hydrological, and environmental applications. The Cyclone Global Navigation Satellite System (CYGNSS) is the first constellation that uses the L-band signal transmitted by the GNSS satellites to develop daily SM data products. In this study, a physics-based algorithm is proposed to couple CYGNSS surface reflectivity (SR) and Soil Moisture Active Passive (SMAP) brightness temperature estimates for accurate SM retrieval. The algorithm is based on the radiative transfer model and the SMAP data to derive a combined parameter of the vegetation optical depth (tau) and the surface roughness parameter (h). The CYGNSS L1 Version 2.1 data of the years 2017-2018 and 2019-2020 are used for calibration and validation, respectively. The SM estimates agree and correlate well with the SMAP SM and in situ SM data on a global scale (R=0.679, RMSE =0.051m(3)m(-3), and MAE = 0.045m(3)m(-3) against SMAP SM; R=0.729 against in situ SM). The proposed algorithm makes contributions from two aspects. First, the proposed algorithm provides a physics-based algorithm using SMAP brightness temperature to calibrate the attenuation due to vegetation and surface roughness on the CYGNSS-derived SR. Unlike attenuation models that have been explored previously in the context of CYGNSS, this algorithm executes the calibration without relying on observations of h or vegetation biophysical parameters as inputs but with the SMAP brightness temperature as the only observations. Second, the proposed algorithm provides a new way for the combined usage of CYGNSS and SMAP to improve the temporal and spatial coverages of global SM with temporal coverage increased by 38.2% and spatial coverage increased by 31.6%.
WOS关键词WATER-CONTENT ; VALIDATION
资助项目Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23050102] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19040303] ; Key Project of the Chinese Academy of Sciences[KJZD-SW-113] ; National Natural Science Foundation of China[41971377] ; National Natural Science Foundation of China[42101376] ; National Natural Science Foundation of China[41501360] ; National Natural Science Foundation of China[FY-APP-2021.0301]
WOS研究方向Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000782805400016
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构Strategic Priority Research Program of the Chinese Academy of Sciences ; Key Project of the Chinese Academy of Sciences ; National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/174492]  
专题中国科学院地理科学与资源研究所
通讯作者Wan, Wei; Sun, Zhigang
作者单位1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
3.Peking Univ, Sch Earth & Space Sci, Inst Remote Sensing & GIS, Beijing 100871, Peoples R China
4.Shandong Dongying Inst Geog Sci, Dongying 257000, Peoples R China
5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, CAS Engn Lab Yellow River Delta Modern Agr, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Yang, Ting,Wan, Wei,Wang, Jundong,et al. A Physics-Based Algorithm to Couple CYGNSS Surface Reflectivity and SMAP Brightness Temperature Estimates for Accurate Soil Moisture Retrieval[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2022,60:15.
APA Yang, Ting,Wan, Wei,Wang, Jundong,Liu, Baojian,&Sun, Zhigang.(2022).A Physics-Based Algorithm to Couple CYGNSS Surface Reflectivity and SMAP Brightness Temperature Estimates for Accurate Soil Moisture Retrieval.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,60,15.
MLA Yang, Ting,et al."A Physics-Based Algorithm to Couple CYGNSS Surface Reflectivity and SMAP Brightness Temperature Estimates for Accurate Soil Moisture Retrieval".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 60(2022):15.

入库方式： OAI收割

来源：地理科学与资源研究所

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