A Semiphysical Microwave Surface Emission Model for Soil Moisture Retrieval
文献类型：期刊论文
| 作者 | Shen, Xinyi1; Hong, Yang1; Qin, Qiming1; Basara, Jeffrey B.1; Mao, Kebiao1; Wang, D.1 |
| 刊名 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
 |
| 出版日期 | 2015 |
| 卷号 | 53期号:7页码:3209-3223 |
| 关键词 | Advanced integral equation model (AIEM) microwave remote sensing rough surface emission soil moisture retrieval |
| 通讯作者 | Shen, XY (reprint author), Univ Connecticut, Civil & Environm Engn Dept, Storrs, CT 06269 USA. |
| 英文摘要 | This study proposes a microwave surface emission model for soil moisture retrieval using radiometer data based on today's most widely used physical model, i.e., advanced integral equation model (AIEM). Soil roughness and moisture effects are easily yet accurately decoupled in the proposed model. In the field case study, the total least squares method, instead of the least squares (LS) method, is applied for the first time in soil moisture retrieval to solve the error in variable linear equation set to further reduce the estimation error. Validated by the Soil Moisture Experiment 2003 campaign data in Oklahoma, the root mean square error (RMSE) and R-2 of volumetric soil moisture varies from 1.5% to 4.2% and 0.92 to 0.43 at L/C/X bands and 40/55. incidence angles. Compared with previous studies, the proposed model has several new features: 1) it is location independent since the model is derived through reproducing the behavior of the AIEM; 2) its high fidelity to AIEM significantly improves the accuracy, whereas its linearity makes it easy to invert; and 3) the soil moisture retrieval based on the proposed model requires no prior knowledge of soil roughness in the scenario of the demonstrated case study. The L-band/V-polarization radiometer data yield the best retrieval result with an RMSE of 1.5% and R-2 of 0.92, whereas increasing frequency increases the error because the sensitivity of emissivity to ground soil moisture decreases, and the valid roughness region, i.e., kh(RMS) < 3, of the AIEM narrows. Furthermore, the model can be readily extended to broader regions than the investigated case study on field scale in this paper by nesting the model in the tau - omega model and using satellite data from SMOS or SMAP. |
| 研究领域[WOS] | Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000351461000041 |
| 源URL | [http://ir.ceode.ac.cn/handle/183411/38422]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1.[Shen, Xinyi] Univ Connecticut, Civil & Environm Engn Dept, Storrs, CT 06269 USA 2.[Shen, Xinyi 3.Hong, Yang] Univ Oklahoma, Sch Civil Engn & Environm Sci, Norman, OK 73072 USA 4.[Shen, Xinyi 5.Wang, D.] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100094, Peoples R China 6.[Qin, Qiming] Peking Univ, Inst Remote Sensing & GIS, Beijing 100871, Peoples R China 7.[Basara, Jeffrey B.] Univ Oklahoma, Climatol Survey, Sch Meteorol, Norman, OK 73072 USA 8.[Mao, Kebiao] Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Key Lab Resources Remote Sensing & Digital Agr, Minist Agr, Beijing 100081, Peoples R China 9.[Mao, Kebiao] Shaanxi Normal Univ, Xian 710062, Peoples R China |
| 推荐引用方式 GB/T 7714 | Shen, Xinyi,Hong, Yang,Qin, Qiming,et al. A Semiphysical Microwave Surface Emission Model for Soil Moisture Retrieval[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2015,53(7):3209-3223. |
| APA | Shen, Xinyi,Hong, Yang,Qin, Qiming,Basara, Jeffrey B.,Mao, Kebiao,&Wang, D..(2015).A Semiphysical Microwave Surface Emission Model for Soil Moisture Retrieval.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,53(7),3209-3223. |
| MLA | Shen, Xinyi,et al."A Semiphysical Microwave Surface Emission Model for Soil Moisture Retrieval".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 53.7(2015):3209-3223. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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